Disaster risk perception and preparedness of households in Yangon, Myanmar: Disaster experiences, socio-demographic factors and spatial variation
Open accessAbstract
In disaster-prone countries, it is of great concern that societies as a whole, as well as households and individuals, should become as resilient to disasters as possible. In Myanmar, with its frequent natural hazards like floods, cyclones and droughts and its high probability of earthquakes, raising awareness of and preparedness for disasters is of eminent importance in order to increase the resilience of society, households and individuals. Disaster research shows that the awareness and perception of people regarding disasters and thus also their risk preparedness can vary substantially. This seems to stem from various sources: the socio-demographic characteristics of households and people as well as former experiences of disaster seem to play a crucial role. Information of such variables and understanding how they influence the disaster risk perception and preparedness of households and people can provide an important background against which to improve individual disaster risk awareness and preparedness – with the final aim of making society, households and individuals more resilient. In this paper, the results of a household survey carried out in eight townships of Yangon (Myanmar) are presented. The analysis investigates how socio-demographic characteristics and the previous experiences of disaster of the respondents and their households influence their disaster risk perception and preparedness in different areas of Yangon City. The results show strong differences in disaster risk perception and preparedness according to socio-demographic characteristics and previous experiences of disaster in different areas of Yangon City. Finally, the findings feed into and inform about successful disaster management.
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TL;DR
This paper analyzes a 2019 household survey in eight Yangon townships to assess how disaster experiences, socio-demographic factors, and spatial location shape disaster risk perception and preparedness. It finds high fear but limited knowledge and preparedness, with strong spatial variation and education, gender, migration, and past disaster experience influencing some outcomes.
Key findings
- More than 85% of households had experienced disasters; among them, 97.1% named cyclones, 21.1% floods, and 13.7% earthquakes. About 59% were affected by Cyclone Nargis, with 34.4% reporting partial house destruction and 17.3% complete destruction.
- Over 60% were at least afraid of floods, cyclones, and earthquakes, with fear of cyclones highest at just over 70%. Knowledge of proper risk-reduction measures was higher for floods (>60%) than cyclones (40%) or earthquakes (about 30%).
- Preparedness was generally low: 58.9% knew the location of a fire extinguisher, 65.9% checked facilities, 47.1% knew how to use an extinguisher, and only about 30% answered yes to the other four preparedness items. Twantay was the worst-prepared township, significantly different from all other seven; in Pabedan, 50% of households were prepared with at least four items.
- Education was the socio-demographic factor most consistently linked to preparedness, while age, household size, and home ownership showed no significant influence on preparedness variables. Gender was highly significantly related to fear (C ≈ 0.4, with women more often afraid), and migration affected some preparedness and perception items.
Methods
- A 2019 household survey of 896 households in eight townships: Pabedan, Latha, Insein, North Okkalapa, Hlaingtharyar, Shwepyithar, Dagon Seikkan, and Twantay. About 110 questionnaires were collected per township using randomized stratified sampling; questionnaires were in Myanmar language and conducted by Yangon City Development Committee and Myanmar Environment Institute teams.
- Disaster risk perception was measured by fear of floods, cyclones, and earthquakes on a 3-point Likert scale (1 = very afraid, 2 = afraid, 3 = not afraid) and by whether respondents believed they knew proper risk-reduction measures (0/1). Preparedness used seven dichotomous items composed into a 0–7 disaster preparedness index. Experiences were measured as general disaster experience and Cyclone Nargis impact; socio-demographic variables included gender, education, age, household size, migration in last 15 years, and accommodation ownership.
- Data were analyzed in IBM SPSS using contingency table analysis with corrected contingency coefficients (C), plus Kruskal-Wallis and Mann-Whitney U tests for the preparedness index, at 5% and 1% significance levels. The study explicitly uses bivariate analyses.
Limitations
- The paper states that its bivariate approach cannot present the influence of a factor as a single entity within a multivariate interrelationship, and it notes that significant C-coefficients are often quite low, meaning relations exist but are not strong. It also states that relations can vary from area to area, so such investigations should be repeated when planned measures are introduced.
- Evident from the text: the survey is cross-sectional and based on self-reported answers, so causal direction cannot be established. The sample covers eight selected townships rather than all of Yangon, and the preparedness index assumes all seven items contribute equally to preparedness.
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Claims the paper makes
2 of 15 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
- Findingown data
65.9% of respondents checked their facilities.
“Only 58.9% knew the location of fire extinguisher and 65.9% checked their facilities.”
Quote in the paperNot a substantial claim - Findingown data
Only 40% of respondents state they have the relevant knowledge for cyclones.
“But only 40% state that they have the relevant knowledge for cyclones and even less (about 30%) for earthquakes.”
Quote in the paperNot a substantial claim - Findingown data
More than 60% of respondents think they know proper risk reduction measures for flooding.
“More than 60% of the respondents think that they know about the proper risk reduction measures to undertake in case of flooding.”
Quote in the paperNot a substantial claim - Findingown data
Considerably more than 60% of households are at least afraid of flooding, cyclones, and earthquakes.
“Considerably more than 60% of households are at least afraid of flooding, cyclones and earthquakes, whereby the fear of a cyclone is highest at just over 70% (Fig. 4).”
Quote in the paperNot a substantial claim - Findingown data
58.9% of respondents knew the location of a fire extinguisher.
“Only 58.9% knew the location of fire extinguisher and 65.9% checked their facilities.”
Quote in the paperNot a substantial claim
- Findingown data
For the other four preparedness items, only about 30% of respondents answered yes.
“For the other four items, only about 30% of the respondents answered 'yes'.”
Quote in the paperSubstantial claim - Findingown data
About 30% of respondents state they have the relevant knowledge for earthquakes.
“But only 40% state that they have the relevant knowledge for cyclones and even less (about 30%) for earthquakes.”
Quote in the paperNot a substantial claim - Findingown data
Fear of a cyclone is highest at just over 70%.
“Considerably more than 60% of households are at least afraid of flooding, cyclones and earthquakes, whereby the fear of a cyclone is highest at just over 70% (Fig. 4).”
Quote in the paperNot a substantial claim - Findingown data
More than 85% of households in Yangon have experienced disasters.
“The vast majority of the households in Yangon (more than 85%) have experienced disasters.”
Quote in the paperNot a substantial claim - Findingown data
About 59% of households were affected by Cyclone Nargis in 2008.
“Not all of the households that have experienced disasters also experienced Cyclone Nargis in 2008, although about 59% were affected by this event.”
Quote in the paperNot a substantial claim - Findingnone given
In general, feelings do not differ much between the disaster types.
“But, in general, feelings do not differ much between the disaster types.”
Quote in the paperNot a substantial claim - Findingown data
For the general experience variable, a significant difference in the disaster preparedness index is apparent (sig.<0.05, Mann-Whitney U-Test).
“Regarding the disaster preparedness index (see explanation in chapter 3), a significant difference is apparent for the experience variable (general) (sig.<0.05, Mann-Whitney U-Test).”
Quote in the paperSubstantial claim - Findingown data
In inner-city townships (Latha, Pabedan), many people are not particularly afraid.
“In contrast, in the inner-city townships (Latha, Pabedan) many people are not particularly afraid, and in Pabedan and Insein they more often think that they are aware of the proper measures with which to meet disasters.”
Quote in the paperNot a substantial claim - Findingown data
Regarding proper risk reduction measures, a significant relation is found for earthquakes, whereby people who have migrated disproportionately often think that they lack proper risk reduction measures for earthquakes.
“Regarding proper risk reduction measures, a significant relation is found for earthquakes, whereby people who have migrated dis-proportionally often think that they lack proper risk reduction measures for earthquakes.”
Quote in the paperNot a substantial claim - Findingown data
The influence of migration on fear of floods and cyclones is not remarkably high, as the C-coefficients are fairly low.
“But the C-coefficients are fairly low, which means that the influence of migration is not remarkably high.”
Quote in the paperNot a substantial claim - Findingreasoning
The percentage of households that are prepared, i.e. know about and use measures, is not very high.
“Furthermore, the percentage of households that are prepared, e.g.know about and use measures, is not very high.”
Quote in the paperSubstantial claim - Findingown data
In Dagon Seikkan the middle 50% of households vary between one and five preparedness items.
“Here Dagon Seikkan is an exception with the middle 50% varying between one and five items.”
Quote in the paperNot a substantial claim - Findingown data
The only significant influence of age on the evaluation of proper risk reduction measures is for earthquakes.
“The only significant influence of 'age' on the evaluation of proper risk reduction measures is for earthquakes.”
Quote in the paperNot a substantial claim - Findingown data
Gender is related highly significantly to the variables concerning fire extinguishers and prepared emergency kits.
“Gender is related highly significantly to the variables concerning fire extinguishers and prepared emergency kits.”
Quote in the paperNot a substantial claim - Findingown data
Respondents with primary-school-level education disproportionately often state that they do not know about proper risk reduction measures.
“Respondents with primary-school-level education state the opposite.”
Quote in the paperNot a substantial claim - Findingown data
Disaster preparedness regarding emergency kit is quite low in central city townships.
“In contrast, disaster preparedness regarding emergency kit is quite low in these areas.”
Quote in the paperNot a substantial claim - Findingown data
For experiences with Nargis, the Mann-Whitney U-Test does not show significant differences in the disaster preparedness index.
“Regarding experiences with Nargis, the Mann-Whitney U-Test does not show significant differences.”
Quote in the paperNot a substantial claim - Findingown data
There are substantial spatial variations in disaster risk perception.
“There are substantial spatial variations in disaster risk perception.”
Quote in the paperSubstantial claim - Findingown data
In Pabedan and Insein, people more often think they are aware of proper measures to meet disasters.
“In contrast, in the inner-city townships (Latha, Pabedan) many people are not particularly afraid, and in Pabedan and Insein they more often think that they are aware of the proper measures with which to meet disasters.”
Quote in the paperNot a substantial claim - Findingown data
Education level is the only socio-demographic aspect that significantly influences very many disaster preparedness variables, with the exception of preparedness of an emergency kit and establishing a meeting place.
“On the other hand, education level is the only sociodemographic aspect which significantly influences very many disaster preparedness variables (with the exception of preparedness of an emergency kit and establishing a meeting place).”
Quote in the paperSubstantial claim - Findingown data
In urban fringe townships (Hlaingtharyar, Twantay, Shwepyithar), a disproportionally small number of people are not afraid of disasters.
“In particular in the townships at the urban fringe (Hlaingtharyar, Twantay, Shwepyithar), a disproportionally small number of people are not afraid of disasters and very few people in these townships (except Shwepyithar) state that they know about risk reduction measures.”
Quote in the paperSubstantial claim - Findingown data
The related C-coefficients are quite low, showing that migration does not influence disaster preparedness very strongly.
“But the related C-coefficients are quite low showing that migration does not influence very strongly.”
Quote in the paperNot a substantial claim - Findingown data
People at the fringe of the city have less sense of risk perception and disaster preparedness.
“In particular, people at the fringe of the city have less sense of risk perception and disaster preparedness.”
Quote in the paperSubstantial claim - Findingown data
After having had experience of or been affected by Nargis, respondents disproportionately often feel afraid or very much afraid.
“after having had experience of or been affected by Nargis, respondents disproportionally often feel afraid or very much afraid and disproportionally many respondents state that they do not know about proper risk reduction measures (for cyclones).”
Quote in the paperSubstantial claim - Findingreasoning
People with no experience of Cyclone Nargis disproportionately often know about the fire extinguisher items.
“Here, the results regarding the fire extinguisher items are prob-ably most striking: people with no experience of Cyclone Nargis disproportionally often know about these items.”
Quote in the paperSubstantial claim - Findingown data
There are remarkable variations between townships in the seven variables measuring aspects of disaster preparedness.
“There are remarkable variations between the townships in terms of the seven variables measuring aspects of disaster preparedness.”
Quote in the paperSubstantial claim - Findingown data
Only education (sig.<0.01) and migration (sig.<0.05) affect the disaster preparedness index significantly.
“The Kruskal-Wallis-Test and Mann-Whitney-Test of the socio-demographic variables show that only education (sig.<0.01) and migration (sig.<0.05) affect the index significantly.”
Quote in the paperSubstantial claim - Findingown data
Spatial variation is a dimension which very much influences disaster risk perception and preparedness.
“Spatial variation is a dimension which very much influences disaster risk perception and preparedness.”
Quote in the paperSubstantial claim - Findingown data
Education shows a particular influence on disaster preparedness; more highly educated people are better prepared than people with lower educational levels.
“In this study, education shows a particular influence on disaster preparedness.More highly educated people are better prepared than people with lower educational levels.”
Quote in the paperSubstantial claim - Findingown data
Hlaingtharyar, Shwepyithar, Dagon Seikkan and Latha do not differ significantly from each other.
“A common characteristic of the rest of the townships (Hlaingtharyar, Shwepyithar, Dagon Seikkan and Latha) is that they do not differ significantly from each other.”
Quote in the paperNot a substantial claim - Findingown data
People who lack experience of Nargis know more about fire extinguishers.
“Here people who lack experience know more about this equipment.”
Quote in the paperNot a substantial claim - Findingown data
The percentages for Twantay are the lowest for all seven aspects.
“The percentages for Twantay are the lowest for all seven aspects (underlined in the table).”
Quote in the paperNot a substantial claim - Findingown data
Migration is the only factor that influences most of the disaster preparedness activities related to severe disasters.
“On the other hand, migration is the only factor which influences most of the disaster preparedness activities related to severe disasters.”
Quote in the paperNot a substantial claim - Findingown data
In these townships the middle 50% of households name two to four preparedness items.
“In these townships the height of the box (Fig. 6) is quite small, which means that the 'middle' 50% of the households name two to four items.”
Quote in the paperNot a substantial claim - Findingown data
People with disaster experiences know and use comparatively more disaster measures than people who do not have previous disaster experiences.
“All in all, people with disaster experiences know and use comparatively more disaster measures than people who do not have previous disaster experiences.”
Quote in the paperSubstantial claim - Findingown data
According to the Kruskal-Wallis-Test, overall the eight townships are significantly different (sig.<0.01).
“According to the Kruskal-Wallis-Test, overall the eight townships are significantly different (sig.<0.01).”
Quote in the paperSubstantial claim - Findingown data
Experiences of Nargis significantly influence disaster preparedness regarding an emergency kit and the variables related to knowledge about using a fire extinguisher.
“Experiences of Nargis significantly influence disaster preparedness regarding an emergency kit and the variables related to knowledge about using a fire extinguisher.”
Quote in the paperSubstantial claim - Findingown data
Previous disaster experiences show significant interrelations with the cyclone issues, namely feelings and evaluations of having proper risk reduction measures.
“The contingency coefficients demonstrate that previous disaster experiences show significant interrelations with the cyclone issues (feelings and evaluations of having proper risk reduction measures).”
Quote in the paperSubstantial claim - Findingreasoning
People who have migrated are disproportionately often afraid of floods and cyclones.
“People who have migrated are disproportionally often afraid of flood and cyclones, which makes sense because often such a disaster was the reason they migrated to Yangon and they often now live in areas affected by floods.”
Quote in the paperNot a substantial claim - Findingown data
People with a higher educational level know about more disaster measures.
“People with a higher educational level know about more measures.”
Quote in the paperSubstantial claim - Findingreasoning
After having had experience of or been affected by Nargis, disproportionately many respondents state that they do not know about proper risk reduction measures for cyclones.
“after having had experience of or been affected by Nargis, respondents disproportionally often feel afraid or very much afraid and disproportionally many respondents state that they do not know about proper risk reduction measures (for cyclones).”
Quote in the paperSubstantial claim - Findingown data
In urban fringe townships except Shwepyithar, very few people state they know about risk reduction measures.
“In particular in the townships at the urban fringe (Hlaingtharyar, Twantay, Shwepyithar), a disproportionally small number of people are not afraid of disasters and very few people in these townships (except Shwepyithar) state that they know about risk reduction measures.”
Quote in the paperNot a substantial claim - Findingown data
Household size and ownership show no significant relationship to the disaster risk perception variables.
“The socio-demographic aspects 'household size' and 'ownership' show no significant relationship to the disaster risk perception variables.”
Quote in the paperNot a substantial claim - Findingown data
In all significant relations, females disproportionately often answered the disaster preparedness questions positively.
“In all significant relations females disproportionally often answered the questions positively.”
Quote in the paperNot a substantial claim - Findingown data
In terms of emergency kit variables, North Okkalapa stands out positively.
“In terms of the emergency kit variables, North Okkalapa stands out positively while comparatively good knowledge of first aid can be found in Shwepyithar and in Insein.”
Quote in the paperNot a substantial claim - Findingown data
The extent to which respondents are aware or prepared varies quite remarkably between the townships in Yangon.
“Moreover, the extent to which the respondents are aware or prepared varies quite remarkably between the townships in Yangon.”
Quote in the paperSubstantial claim - Findingown data
For all three disaster types, respondents with graduate-level education disproportionately often stated that they know about proper risk reduction measures.
“For all three disaster types, respondents with graduatelevel education disproportionally often stated that they know about proper risk reduction measures.”
Quote in the paperNot a substantial claim - Findingnone given
If people were affected by Nargis, they very much fear hazards, whether in relation to flooding, a cyclone or an earthquake.
“If people were affected by Nargis, they very much fear hazards, no matter whether in relation to flooding, a cyclone or an earthquake.”
Quote in the paperSubstantial claim - Findingown data
Pabedan Township differs significantly from most of the other townships, except for Insein and North Okkalapa.
“Pabedan Township differs significantly from most of the other townships (Tab.4), except for Insein and North Okkalapa.”
Quote in the paperNot a substantial claim - Findingown data
Age, household size and ownership have no significant influence on any of the disaster preparedness variables.
“The first interesting result is that age, household size and ownership have no significant influence on any of the disaster preparedness variables (Tab.8).”
Quote in the paperSubstantial claim - Findingown data
The relation between gender and fire extinguisher use is quite strong (C = 0.4226).
“Thereby the relation regarding fire extinguisher use is quite strong (C = 0.4226).”
Quote in the paperNot a substantial claim - Findingown data
Discussion to fix a meeting place is significantly more often held in households with general experience of a disaster.
“Discussion to fix a meeting place is significantly often held in households with general experience of a disaster.”
Quote in the paperSubstantial claim - Findingown data
The results of this study show that the relationship between past experience and preparedness/perception is not valid for all disaster risk perception and preparedness items.
“But in contrast to these studies (where preparedness and perception are measured by one index each, composed of a set of items) the results of this study show, that this relationship is not valid for all the disaster risk perception and preparedness items.”
Quote in the paperSubstantial claim - Findingown data
Regarding proper risk reduction measures, gender is only significantly related to measures for cyclones.
“Regarding proper risk reduction measures, gender is only significantly related to measures for cyclones (Tab.7).”
Quote in the paperNot a substantial claim - Findingown data
In most cases the related C-coefficients are above 0.3, showing that education influences preparedness to at least some extent.
“In most cases the related C-coefficients show with values of above 0.3 that education influences preparedness to at least some extent.”
Quote in the paperSubstantial claim - Findingown data
None of the socio-demographic aspects have a significant impact on whether households have discussed a meeting place with family members.
“Another interesting result is that none of the socio-demographic aspects have a significant impact on whether the households have discussed a meeting place with family members.”
Quote in the paperNot a substantial claim - Findingown data
For all disaster risk perception variables, the contingency coefficients are highly significant (sig.<0.01).
“For all the disaster risk perception variables, the contingency coefficients are highly significant (sig.<0.01).”
Quote in the paperSubstantial claim - Findingown data
Comparatively good knowledge of first aid can be found in Shwepyithar and Insein.
“In terms of the emergency kit variables, North Okkalapa stands out positively while comparatively good knowledge of first aid can be found in Shwepyithar and in Insein.”
Quote in the paperNot a substantial claim - Findingreasoning
Past experiences with disasters influence the disaster risk perceptions of Yangon citizens and their disaster preparedness.
“Past experiences with disasters influence the disaster risk perceptions of the Yangon citizens and their disaster preparedness as well.”
Quote in the paperSubstantial claim - Findingown data
There are also differences related to gender status and migration status, at least for some of the disaster risk perception and preparedness items.
“There are also differences related to gender status and migration status, at least for some of the disaster risk perception and preparedness items.”
Quote in the paperSubstantial claim - Findingnone given
Remarkable differences in the intensity of disaster risk perception and preparedness can be found regarding education levels.
“On the other hand, remarkable differences in the intensity of disaster risk perception and preparedness can be found regarding education levels.”
Quote in the paperSubstantial claim - Interpretationreasoning
The high percentage of fear of a cyclone is related to the experiences people had with Cyclone Nargis.
“This high percentage is related to the experiences people had with Cyclone Nargis.”
Quote in the paperNot a substantial claim - Premisenone given
In Myanmar, there is little research on the influence of socio-demographic characteristics on risk perception and preparedness.
“For Myanmar, there is little research on the influence of socio-demographic characteristics on risk perception and preparedness.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites fernandeZ et al. (2018)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites KO KO lwin et al. (2020)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites heinKel et al. (2022)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Disaster research shows that awareness and perception of people regarding disasters, and thus their risk preparedness, can vary substantially.
“Disaster research shows that the awareness and perception of people regarding disasters and thus also their risk preparedness can vary substantially.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites QaSiM et al. (2015)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Past experiences influence preparedness quite remarkably, as found by Kim (2022), Ng (2023) and Bronfman (2020).
“This is in line with research results of, for instance, KiM (2022) and ng (2023) as well as BrOnfMan (2020), which found that past experiences influence preparedness quite remarkably.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites KiM (2022)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites ng (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites BrOnfMan (2020)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductreasoning
The townships were selected in line with their specific disaster risk exposure, which includes exposure to earthquakes, cyclones, storms and floods.
“The townships were selected (Fig. 2) in line with their specific disaster risk exposure, which includes exposure to earthquakes, cyclones, storms and floods as summarized for the Yangon area and its surroundings (Fig. 3).”
Quote in the paperSubstantial claim - Interpretationown data
The vast majority of households in Twantay is extremely badly prepared for disasters.
“Thus, the vast majority of the households is extremely badly prepared for disasters.”
Quote in the paperSubstantial claim - Interpretationreasoning
There is a high discrepancy in disaster preparedness between urban and rural areas of Yangon.
“This result lets assume that there is a high discrepancy in disaster preparedness between urban and rural areas, since the situation in the highly urbanised township of Pabedan is something of a contrast to Twantay (Fig. 6).”
Quote in the paperSubstantial claim - Premisecitation
The majority of research that deals with the influence of socio-demographics and experience on disaster risk perception and preparedness follows a multivariate approach.
“The majority of research (e.g.SjöBerg 2000, BOTZen et al. 2009, hajiTO et al. 2015, hOffMann & MuTTaraK 2017, OnuMa et al. 2017, niKKanen et al. 2021) that deals with the influence of socio-demographics and experience on disaster risk perception and preparedness follows a multivariate approach -often based on a kind of multivariate 'regression' analysis.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites SjöBerg 2000
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites BOTZen et al. 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites hajiTO et al. 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The township level was chosen as the spatial dimension because townships play the key role in community-based risk management as crucial nodes between communities and national and sub-national levels.
“Overlooking the legal regulations for disaster situations, the townships play the key role in communitybased risk management as they act as crucial nodes between communities and national and sub-national levels (see also MDN 2019).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites MDN 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
In general, the disaster preparedness of households is not particularly advanced.
“Thus in general, the disaster preparedness of households is not particularly advanced and requires upgrading.”
Quote in the paperSubstantial claim - Interpretationreasoning
The finding that people with no Nargis experience know more about fire extinguisher items can be explained by the fact that many people with experience of Nargis are migrants living in poor conditions who cannot afford an extinguisher and are thus unfamiliar with such equipment.
“This can be explained by the fact that many people with experience of Nargis are migrants living in poor conditions who cannot afford to have an extinguisher in their households and are thus unfamiliar with such equipment.”
Quote in the paperSubstantial claim
- May combine two claims. 38
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 8
May combine two claims.
PremisecitationSocio-demographic characteristics of households and people as well as former experiences of disaster seem to play a crucial role in disaster risk perception and preparedness.
“This seems to stem from various sources: the socio-demographic characteristics of households and people as well as former experiences of disaster seem to play a crucial role.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites QaSiM et al. (2015)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites KellenS et al. (2011) source
Section 2.2 says socio-demographic characteristics can shape natural-hazard risk perception, and Section 2.4 says previous hazard experiences can influence judgments of risk. These passages support the risk-perception part of the claim, but they do not establish that those factors play a crucial role in disaster preparedness. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites niKKanen et al. (2021) source
May combine two claims.
Findingown dataOf households that experienced disasters, 97.1% name cyclones, 21.1% name floods, and 13.7% name earthquakes as the disasters they experienced.
“Of these households, 97.1% name cyclones, 21.1% name floods and 13.7% name earthquakes as the disasters they experienced.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe highest values of disaster preparedness variables vary between townships within the Yangon City area, but the fringe township Twantay is always at the lower end regarding the preparedness variables.
“For example, the highest values of disaster preparedness variables vary between townships within the Yangon City area, but the fringe township Twantay is always at the lower end regarding the preparedness variables.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Pabedan, 50% of households are prepared with at least four items and at least 25% name five items or more.
“Here 50% of the households are prepared with at least four items, and five items or more are named by at least 25%.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRespondents with a graduate level of education disproportionately often answer the disaster preparedness questions affirmatively, while this is disproportionately rare among people with a low educational level (monastic/primary).
“Respondents with a graduate level of education disproportionally often answer the questions affirmatively, this is disproportionally rare among people with a low educational level (monastic/primary).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Twantay, 75% of respondents reported preparations involving at most two of the investigated items, and at least 50% of households named only one item or none at all.
“In Twantay, 75% of the respondents indicated that they have made preparations involving a maximum of two of the items investigated and at least 50% of the households name only one item or even none at all (Fig. 6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBy far the most problematic township regarding disaster preparedness of households is Twantay, although Hlaingtharyar also often has quite low values.
“By far the most problematic township regarding disaster preparedness of the households is Twantay, although Hlaingtharyar also often has quite low values.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThree-quarters of those educated only up to primary-school level know only three or fewer measures, whereas three-quarters of those with graduate-level education know of three or more measures.
“Three-quarters of those who are only educated up to primary-school level, know only three or less measures; in contrast three-quarters of those with graduate-level education know of three or more measures.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe migration status of respondents significantly influences feelings of being afraid of floods and cyclones, but not of earthquakes.
“The migration status of respondents significantly influences feelings of being afraid of floods and cyclones, but not of earthquakes.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
FindingcitationHaving experience of disasters enhances people's awareness of them and they are often better prepared.
“Having experience of disasters enhances people's awareness of them and they are often better prepared.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPast experience with disasters often leads to people being more aware and better prepared, but this pattern is not always valid.
“Past experience with disasters often leads to people being more aware and better prepared.But this pattern is not always valid.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor feeling variables, C-coefficients range between 0.3 and 0.4; for variables on knowing proper measures, C is between 0.4 and 0.5, revealing not very strong but notable differences between townships.
“Regarding the feeling variables the C-coefficients are in the range between 0.3 and 0.4, for the variables on knowing about proper measures C is between 0.4 and 0.5 revealing not very strong, but notable differences between the townships.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataC-coefficients (except agreed meeting place) are at least >0.3 (most >0.4), underlining that differences are not very high but quite remarkable.
“The height of the C-coefficients (except agreed meeting place) with at least > 0.3 (in most cases > 0.4) underline, that the differences are not very high, but quite remarkable.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor households with experience the peak is at three and four measures and a remarkable percentage of households have more than four measures in hand.
“On the other hand, for households with experience the peak is at three and four measures and a remarkable percentage of households have more than four measures in hand.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHouseholds with no disaster experience predominantly know of up to four measures, with a peak at two and three, and only a few know of more than four measures.
“The frequency diagram in Figure 7 shows that households with no experience predominantly know of up to four measures with a peak at two and three, and only a few know of more than four measures.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPabedan, Insein and North Okkalapa do not differ significantly from one another, but they often differ significantly from the other townships.
“These three townships do not differ significantly from one another, but they often differ significantly from the other townships -this is in particularly pronounced for Pabedan (Tab.4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDisaster risk perception does not decrease linearly with growing distance from the centre; it is rather more specifically structured.
“But the disaster risk perception does not decrease linearly with growing distance from the centre, it is rather more specifically structured.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataExperiences with disaster in general as well as in connection to Nargis have no influence on checking facilities.
“Experiences with disaster in general as well as in connection to Nargis have no influence on checking facilities, which is interesting because it indicates that experience of a disaster is irrelevant to attitudes linked to checking facilities, this is rather a normal activity.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataQuite high disaster preparedness regarding fire extinguisher variables can be reported from central city townships (Pabedan, Latha), as is also the case for checking of facilities.
“Quite high disaster preparedness regarding the fire extinguisher variables can be reported from the central city townships (Pabedan, Latha), as is also the case for checking of facilities.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAlmost half of respondents who have migrated in the last 15 years know of only two or fewer measures, whereas only about a third of respondents without migration experience name two or fewer measures.
“Regarding migration status, a similar difference is apparent: almost half of respondents who have migrated in the last 15 years know of only two or less measures, whereas only about a third of respondents without migration experience name two or less measures.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe relations between the experience variables and disaster perception exist but the experience variables do not influence very strongly, as the C-coefficients are quite low.
“Additionally, it has to be pointed out that even if the C-coefficients are significant they are quite low, which means that the relations do exist but that the involved experience variables do not influence very strongly.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor six of seven preparedness variables (except meeting place), townships differ very significantly (sig.<0.01); for meeting place, a significant difference exists (sig.<0.05).
“Contingency table analyses revealed that for six of the seven variables (except meeting place), the townships differ very significantly (sig.<0.01), while a significant difference (sig.<0.05) exists for meeting place.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEducation's coefficients with the variables of proper risk reduction measures are highly significant and not too low (C ≈ 0.3).
“The coefficients with the variables of proper risk reduction measures are highly significant and not too low (C ≈ 0.3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataExcept for Dagon Seikkan, at least 25% of households in these townships are prepared with at least four items and only 25% name no more than two items.
“Additionally (except for Dagon Seikkan), at least 25% of the households are prepared with at least four of the items and only 25% name not more than two items.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn Twantay township, the disaster preparedness of households is exceptionally poor, and Twantay differs significantly from all other seven townships studied.
“ness situation of the households in Twantay is exceptionally poor and the township is significantly different to all other seven townships (Tab.4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLow percentages of awareness and preparedness are found in townships in the urban fringe, with Twantay standing out particularly, where the vast majority of respondents state they have no knowledge of risk reduction measures and preparedness figures are lower for all items than in other townships.
“Low percentages are found in townships in the urban fringe, where Twantay stands out particularly, as the vast majority of respondents in this township state that they have no knowledge of risk reduction measures and the figures indicating disaster preparedness are here lower for all items than in other townships.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe disaster risk perception variables for cyclones differ significantly with general disaster experience, but this is not the case for floods and earthquakes.
“The disaster risk perception variables for cyclones differ significantly with the general disaster experience.This is not the case for floods and earthquakes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo significant relations can be found for age, household size or home ownership, neither for perception nor for preparedness items.
“In contrast, no significant relations can be found for age, household size or home ownership, neither for perception nor for preparedness items.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenAlthough quite a high proportion of respondents are afraid of a disaster, fewer respondents state that they know about proper disaster risk reduction measures.
“Although quite a high proportion of respondents are afraid of a disaster, less respondents state that they know about proper disaster risk reduction measures.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhere significant relations exist, people with experience are better prepared, except for the fire extinguisher variables.
“If significant relations exist, they reveal that people with experience are better prepared except for the fire extinguisher variables (interpretation of the residuals).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGender and migration status influence risk perception and disaster preparedness items.
“Gender and migration status influence risk perception and disaster preparedness items.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPeople who have migrated within the last 15 years disproportionately less often know of and have prepared an emergency kit, and the same is true for checking facilities.
“If people have migrated within the last 15 years, they know of and have prepared an emergency kit disproportionally less often; the same is true for checking facilities (interpretation of the residuals).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGeneral disaster experiences lead to knowledge of what an emergency kit is and to preparing such a kit.
“On the other hand, disaster experiences (in general) lead to knowledge of what an emergency kit is and the preparing of such a kit.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataExperiences with disasters in general or with Cyclone Nargis significantly influence the perception of disasters.
“Experiences with disasters (in general or Cyclone Nargis) significantly influence the perception of disasters (Tab.5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSocio-demographic factors are relevant but not all of them influence; often they influence only some of the variables measuring perception and preparedness, and the influence is often not very strong.
“Socio-demographic factors are relevant but not all of them influence.Often they influence only some of the variables measuring aspects of perception and preparedness.Additionally the influence is often not very strong.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGender is highly significantly and quite strongly related to feelings about disasters (C ≈ 0.4), in that women feel disproportionately often afraid or very afraid.
“Interestingly, gender is highly significantly and quite strongly related to feelings about disasters (C ≈ 0.4), in that women feel disproportionally often afraid or very afraid.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenFor some socio-demographic factors no differences can be found between the categories; this is true for age, household size and home ownership.
“For some socio-demographic factors no differences can be found between the categories.This is true for age, household size and home ownership.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
PremisereasoningThere is a need for further research on disaster risk perception and preparedness in Myanmar and their relation to socio-demographic characteristics as well as to past experiences.
“Thus, there is a need for further research on disaster risk perception and preparedness in Myanmar and their relation to socio-demographic characteristics as well as to past experiences.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHousehold/family size is an influencing factor in Fernandez et al.'s study, at least regarding cyclone and earthquake risk perception.
“In contrast to this, household/family size is an influencing factor in Fernandez' study (fernandeZ et al. 2018), at least regarding cyclone and earthquake risk perception.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites fernandeZ et al. 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe result that people without Nargis experience know more about fire extinguishers might originate in the fact that many people who experienced Nargis are migrants living in poor conditions who cannot afford an extinguisher and are thus unfamiliar with it.
“This surprising result might have its origin in the fact that many people who experienced Nargis are migrants living in poor conditions who cannot afford to have an extinguisher in their households and are thus unfamiliar with it.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Premisenone givenOther studies show varied results in terms of which socio-demographic factors have an influence and how much.
“This is in line with other studies which show varied results in terms of which factors have an influence and how much.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningIn a multivariate approach, the influence of a factor as a single entity cannot be presented in detail.
“On the other hand, in such an approach, the influence of a factor as a single entity cannot be presented in detail.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenEach participant was asked verbally whether she/he agrees to participate, and only if the participant agreed was a questionnaire conducted.
“Each participant was asked verbally whether she/he agrees to participate.Only if the participant agreed a questionnaire was conducted.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe households in the townships were chosen according to a randomized stratified sampling.
“The households in the townships were chosen according to a randomized stratified sampling.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataExamining socio-demographic characteristics, experience of disasters and local variations and how they influence disaster risk perceptions and preparedness can help in disaster risk management by providing detailed insights as a basis for customized and targeted measures.
“The results show that examining socio-demographic characteristics, experience of disasters, local variations and how they in various ways influence disaster risk perceptions and disaster preparedness can help in disaster risk management by providing detailed insights as a basis for customized and targeted measures to improve disaster risk preparedness.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
All seven preparedness items contribute equally to preparedness.
“Assuming that all seven items contribute equally to preparedness, the result expresses the intensity of being prepared (0 = not prepared at all, …, 4 = prepared regarding four items, …, 7 = fully prepared).”
The authors state this as an assumption.
The significance of the deviation from the theoretically expected value is assessed under the assumption of equal distribution.
“The column 'sig.' shows the significance of the deviation from the theoretically expected value (under the assumption of equal distribution) regarding the answers 'not afraid' and 'knowing about proper risk reduction measures' respectively.”
The authors state this as an assumption.
The disaster preparedness index can be regarded as a metric, not normally distributed variable.
“The disaster preparedness index can be regarded as a metric, not normally distributed variable.”
The paper relies on this without support.
In reality, the interrelationship between socio-demographic/experiential factors and disaster risk perception/preparedness is a multivariate one.
“The advantage of such an approach is on the one hand that in reality the interrelationship is a multivariate one.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conclusion overlooks a significant age-risk-perception relationship
MinorThe conclusion says age has no significant relationship with any perception item. Earlier, the paper identifies a significant relationship between age and knowledge of earthquake risk-reduction measures, and Table 7 marks it as highly significant.
“In contrast, no significant relations can be found for age, household size or home ownership, neither for perception nor for preparedness items.”
“The only significant influence of 'age' on the evaluation of proper risk reduction measures is for earthquakes.”
Cites
The publisher hasn’t deposited this paper’s reference list.
Research works printed but not linked: 4
- MDN (Myanmar Development Network) (2019) Urban disaster risk reduction (UDRR). Myanmar Red Cross Society, Yangon. https://www.researchgate.net/publi- cation/343333110
- NOAA (2023) (National Geophysical Data Center / World Data Service (NGDC/WDS)) NCEI/WDS Global Sig- nificant earthquake database. https://doi.org/10.7289/ V5TD9V7K nyan win MyinT, KaewKungwal J, SinghaSivanOn P, ChaiSiri K, pOnpeT P, Sirivan P. MalliK AK, TheT KW (2011) Community awareness and perceptions of health sector preparedness and response to cyclone Nargis. Southeast Asian Journal of Tropical Medical Public Health 42: 1014-1021 · DOI
- wang y (2014) Active tectonics and earthquake po- tential of the Myanmar region. Journal of Geo- physical Research: Solid Earth 119: 3767. https://doi. org/10.1002/2013JB010762 wang y, TappOnnier p, TOe aung, SOe Thura Tun, Saw ngwe Khaing, lin Thu aung, Sieh K (2014) Morpho- tectonics of the central Sagaing fault west of Mandalay: Trace of the 1839 Ava earthquake rupture. AGU Fall Meeting Abstracts 2014: https://agu.confex.com/agu/ fm14/webprogram/Paper20751.html · DOI
- Zin Mar Than, Tin Tin Kyi, KraaS F (2020) Institutional preparedness for multiple risks in Yangon, Myanmar. Journal of the Myanmar Academy of Arts and Science XVIII, No. 5B: 61-74.
Cited by
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Towards integrated flood management: Vulnerability and flood risk in the Ayeyarwady Delta of Myanmar
Vogel, A., Seeger, K., Brill, D., Brückner, H., Kyaw, A., Myint, Z. N., & Kraas, F. (2024) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2024.104723 · Cited by 22 · see citing works
Self-citationInstitutional risk and crisis communication on natural hazards and disaster risks in Yangon, Myanmar
Heinkel, S.-B., Miller, C., Thiebes, B., Than, Z. M., Kyi, T. T., Aung, T., Oo, S. S., Mar, W. L., Willkomm, M., Maung, W., et al. (2024) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2024.105064 · Cited by 10 · see citing works
Self-citationBachri, S., Hakiki, A. R. R., Sumarmi, S., Putra, A. K., Wibowo, N. A., & Hidiyah, D. T. M. (2025) · KnE Social Sciences · doi:10.18502/kss.v10i31.20391
Than, Z. M., Oo, H. M., Heinkel, S.-B., Aung, T., Kyi, T. T., Oo, S. S., Mar, W. L., Maung, W., Myint, Z. N., Soe, K. K., et al. (2026) · Natural Hazards · doi:10.1007/s11069-025-07758-3
Self-citation
- Authors
- Than, Z. M., Oo, H. M., Aung, T., Kyi, T. T., Oo, S. S., Mar, W. L., Willkomm, M., Miller, C., Martini, S., Myint, Z. N., Soe, K. K., Maung, W., Heinkel, S.-B., Thiebes, B., Spohner, R., & Kraas, F.
- ORCID
- Venue
- ERDKUNDE
- Publisher
- Erdkunde
- Published
- 2023-12-28
- ISSN
- 0014-0015 (ISSN-L)
- 2702-5985
- OpenAlex
- W4390339942
- Semantic Scholar
- c38507fcdf510fdd0733b7b3977fd0ceaa05723d
- Cited by
- 4
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2
- FWCI
- 1.72
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Erdkunde (publishedVersion, cc-by)
- Funders
- Bundesministerium für Bildung und Forschung
- Topics
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Social Sciences › Transportation › Earthquake and Disaster Impact Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
- Keywords
- disaster risk perception, disaster preparedness, household resilience, sociodemographic factors, disaster experience, spatial variability, Yangon, natural hazards, disaster management, flood risk, cyclones, drought, earthquakes
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