A fuzzy synthetic evaluation of the challenges of smart city development in developing countries
Open accessAbstract
Purpose: This study presents a fuzzy synthetic evaluation of the challenges of smart city realisation in developing countries, using Nigeria as a case study. By defining and delineating the problems faced by the country, more viable directions to attaining smart city development can be achieved. Design/methodology/approach: The study adopted a post-positivist philosophical stance with a deductive approach. A structured questionnaire was used to gather data from built environment professionals involved in the delivery of Nigerian public infrastructures. Six dimensions of the challenges of smart cities were identified from literature and explored. They are governance, economic, social, technological, environmental and legal issues. Data gathered were analysed using Cronbach alpha test for reliability, Shapiro-Wilks test for normality, Kruskal-Wallis H-test for consistency and fuzzy synthetic evaluation test for the synthetic evaluation of the challenges of smart city attainment. Findings: The findings revealed that all six assessed dimensions have a significant impact on the attainment of smart cities in Nigeria. More specifically, issues relating to environmental, technological, social and legal challenges are more prominent. Originality/value: The fuzzy synthetic approach adopted provides a clear, practical insight on the issues that need to be addressed before the smart city development can be attained within developing countries.
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Written from the paper’s full text.
TL;DR
This study identifies and assesses challenges to smart city development in Nigeria using fuzzy synthetic evaluation. It finds all 34 assessed challenges have a high overall impact (OIL 3.62), with environmental challenges ranked highest (3.87).
Key findings
- The overall impact level of the 34 assessed challenges was 3.62 on a 1–5 scale, above the average of 3.0, indicating a high impact on smart city attainment in Nigeria.
- Environmental challenges had the highest impact level (3.87), followed by technology (3.71), social (3.64), and legal (3.57); economic and politics/governance dimensions had the least impact but remained above average.
- Kruskal-Wallis testing found no statistically significant difference in views across Nigeria’s six regions for 32 of 34 variables (p > 0.05); two variables had significant differences (PG2, p = 0.007; EN5, p = 0.000).
- The questionnaire instrument was reliable with an overall Cronbach’s alpha of 0.782.
Methods
- The study adopted a post-positivism stance and deductive approach, using a structured closed-ended questionnaire with 34 variables rated on a 5-point Likert scale.
- A total of 154 responses were collected from built environment professionals with at least five years’ experience across Nigeria’s six regions; electronic questionnaire, convenience sampling, and snowball sampling were used.
- Analysis included Cronbach’s alpha, Shapiro-Wilk normality testing (all 34 variables p = 0.000, non-normal), Kruskal-Wallis H-test, and fuzzy synthetic evaluation using model 3 M(•,⊕) to derive weightings, membership functions, and overall impact levels.
Limitations
- The paper states that the method adopted limited the findings and suggests future studies use a mixed-method approach, first employing Delphi to validate challenges gathered from literature before quantitative assessment.
- The paper states that convenience and snowball sampling made determining the exact number of distributions difficult, so a total response rate could not be calculated.
- Evident from the text: reliance on 154 self-reported Likert ratings from built environment professionals and non-probability sampling may limit generalizability; the non-normal data also restricted analysis to non-parametric methods.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 80 cited sources checked · 0 supported · 0 flagged
- Findingown data
Legal-related variables have an impact level of 3.57.
“This is followed by technology, social and legal-related variables with an impact level of 3.71, 3.64 and 3.57 respectively.”
Quote in the paperNot a substantial claim - Findingreasoning
The membership function for all challenges of smart city development (Level 1) is (0.05, 0.22, 0.16, 0.30, 0.29).
“Membership function for all challenges of smart city development (Level 1) = (0.05 0.22, 0.16, 0.30, 0.29).”
Quote in the paperSubstantial claim - Findingown data
Social-related variables have an impact level of 3.64.
“This is followed by technology, social and legal-related variables with an impact level of 3.71, 3.64 and 3.57 respectively.”
Quote in the paperNot a substantial claim - Findingown data
The situation regarding critical issues facing smart city development in Nigeria is slightly different from the mostly governance-related issues found by Rana et al. (2019).
“AlthoughRana et al. (2019)discovered that the critical issues facing smart city development is mostly governance related, the situation is slightly different in Nigeria.”
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- Findingown data
Technology-related variables have an impact level of 3.71.
“This is followed by technology, social and legal-related variables with an impact level of 3.71, 3.64 and 3.57 respectively.”
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- Findingown data
The Kruskal-Wallis test showed a statistically significant difference among respondents for T1 (p = 0.044).
“T1 | 11.409 | 0.044 | 3.88 | 0.15”
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The Kruskal-Wallis test showed a statistically significant difference among respondents for L1 (p = 0.021).
“L1 | 13.296 | 0.021 | 4.03 | 0.29”
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The Kruskal-Wallis test showed a statistically significant difference among respondents for PG2 (p = 0.007).
“PG2 | 15.902 | 0.007** | 3.94 | 0.24”
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The Kruskal-Wallis test showed a statistically significant difference among respondents for EN5 (p = 0.000).
“EN5 | 23.702 | 0.000** | 3.65 | 0.18”
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The research findings stressed the negative influence of the slow adoption of technology on cities development, as observed in previous studies.
“The research findings further stressed the negative influence of the slow adoption of technology on cities development that has been observed in previous studies (Al-”
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Instability in government is a hindrance to smart city attainment in cities in the South and East of the Mediterranean.
“Similarly, instability in government is a hindrance to smart city attainment in the case of cities in the South and East of the Mediterranean (Monzon, 2015).”
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- Premisecitation
Issues surrounding governance are the bane of smart city development in most countries.
“Issues surrounding governance are the bane of smart city development in most countries (Rana et al., 2019).”
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- Premisecitation
Economic growth in Nigeria is influenced by a substantive deficit in the country's basic physical infrastructure.
“Bello-Schünemann and Porter (2017) noted that economic growth in Nigeria is influenced by substantive deficit in the country's basic physical infrastructure.”
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This lack of adoption affects the attainment of smart cities in these countries.
“This lack of adoption affects the attainment of smart cities in these countries (Bibri, 2019).”
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In most developing countries, lack of a supportive environment can deter the actualisation of smart cities.
“Datta (2015) emphasised that in most developing countries, lack of a supportive environment can deter the actualisation of smart cities.”
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- Premisecitation
Proper adoption of big data analytics is mostly hindered by factors such as privacy and security of data.
“However, its proper adoption is mostly hindered by factors such as privacy and security of data (Pärn and Edwards, 2019).”
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- Interpretationown data
The attainment of a smart city in Nigeria depends mostly on the government and stakeholders' ability to overcome critical challenges in the six different dimensions assessed.
“The study's findings revealed that the attainment of a smart city in Nigeria depends mostly on the government and stakeholders' ability to overcome critical challenges in the six different dimensions assessed.”
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Lack of sustainability consideration (such as proper waste management) can generate poor living conditions for city's citizens.
“Neirotti et al. (2014) and Rana et al. (2019) have earlier noted that lack of sustainability consideration (such as proper waste management) can generate poor living conditions for city's citizens.”
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- cites Rana et al., 2019
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- Study design and conductcitation
The questionnaire instrument is reliable, with an overall Cronbach's alpha of 0.782 for all assessed variables.
“An overall alpha value of 0.782 was derived for all the assessed variables, thus indicating that the instrument is reliable as suggested by Moser and Kalton (1999).”
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- Interpretationreasoning
A failure in the availability of functional connectivity will impede smart city development.
“a failure in the availability of functional connectivity will impede smart city development.”
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Nigeria is confronted with economic instability due to its historical economic instability.
“Unfortunately, Nigeria is confronted with these issues because of its historical economic instability (Abioye 2017;Aghimien et al., 2018).”
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- cites Aghimien et al., 2018
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In Europe and South and East Mediterranean, most countries are faced with social issues such as unemployment, lack of social cohesion, poverty and inequality and poor education, which deters their attainment of smart cities.
“Monzon (2015) noted that in Europe and South and East Mediterranean, most countries are faced with social issues such as unemployment, lack of social cohesion, poverty and inequality and poor education which deters their attainment of smart cities.”
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- Premisecitation
Lack of citizens' participation is a problem facing smart cities.
“Kummitha and Crutzen (2019) and Nam and Pardo (2011) noted the issue of lack of citizens participation as a problem facing smart cities.”
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- cites Nam and Pardo, 2011
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Poor governance/lack of trust in government is a challenge of smart city development.
“Poor governance/lack of trust in government (PG3) Ruhlandt (2018)”
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- Premisecitation
Cyber insecurity is a challenge of smart city development.
“Cyber insecurity (T1) Al-Nuaimi et al. (2015); Bawa et al. (2016); Rana et al. (2019)”
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- Rests on an assumption: Virus threats and lack of privacy are important issues of technology adoption.
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Cultural diversity is a challenge of smart city development.
“Cultural diversity (L2) Chourabi et al. (2012); Nam and Pardo (2011)”
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- cites Nam and Pardo (2011)
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Political instability is a challenge of smart city development.
“Political instability (PG4) Kogan and Lee (2014); Monzon (2015)”
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- cites Monzon (2015)
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Lack of awareness of the concept of smart cities among citizens is a challenge of smart city development.
“Lack of awareness of the concept of smart cities among citizens (S7)Kogan and Lee (2014)”
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- Premisecitation
Legal restrictions impeding easy access to data is a challenge of smart city development.
“Legal restrictions impeding easy access to data (L4) Al-Nuaimi et al. (2015); Khan et al. (2014); Kogan and Lee”
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- cites Khan et al. (2014)
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Lack of regulatory norms, policies and directions for smart city is a challenge of smart city development.
“Lack of regulatory norms, policies and directions for smart city (L1) Chourabi et al. (2012)”
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Poor information storage and data retrieval is a challenge of smart city development.
“Poor information storage and data retrieval (T7) Al-Nuaimi et al. (2015)”
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Traffic congestions in cities is a challenge of smart city development.
“Traffic congestions in cities (EN4) Neirotti et al. (2014)”
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Lack of citizen participation is a challenge of smart city development.
“Lack of citizen participation (S6)Datta (2015);Kogan and Lee (2014);Kummitha and Crutzen (2019); Nam and Pardo (2011)”
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- cites Kogan and Lee (2014)
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- cites Kummitha and Crutzen (2019)
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Poor waste management is a challenge of smart city development.
“Poor waste management (EN6) Neirotti et al. (2014); Rana et al. (2019)”
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- cites Rana et al. (2019)
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Absence of a common information system (IS) model is a challenge of smart city development.
“Absence of a common information system (IS) model (T4) Chourabi et al. (2012); Monzon (2015)”
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- cites Monzon (2015)
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Increase in population rate is a challenge of smart city development.
“Increase in population rate (EN3) Al-Nuaimi et al. (2015); George and Ukpong (2013); Kramers et al. (2014); Neirotti et al. (2014)”
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- cites George and Ukpong (2013)
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Lack of integration and convergence across IT networks is a challenge of smart city development.
“Lack of integration and convergence across IT networks (T6) Bawa et al. (2016);”
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Epileptic power supply is a challenge of smart city development.
“Epileptic power supply (PG2) Oladapo (2007)”
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- Premisecitation
Poor utilisation of digital technologies is a challenge of smart city development.
“Poor utilisation of digital technologies (T2) Bibri (2019)”
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Lack of technological knowledge among city planners is a challenge of smart city development.
“Lack of technological knowledge among city planners (T5) Scuotto et al. (2016)”
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Lack of standardisation is a challenge of smart city development.
“Lack of standardisation (L3) Bawa et al., (2016); Kogan and Lee (2014)”
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- cites Kogan and Lee (2014)
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Fear of potential systems failure is a challenge of smart city development.
“Fear of potential systems failure (S8) Datta (2016)”
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- Premisecitation
Lack of sustainability consideration is a challenge of smart city development.
“Lack of sustainability consideration (EN5) Bibri (2019); Neirotti et al. (2014); Rana et al. (2019)”
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Poor internet connectivity/provision is a challenge of smart city development.
“Poor internet connectivity/provision (T3) Adepetun (2017); Datta (2016)”
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- cites Datta (2016)
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Poor infrastructure maintenance culture is a challenge of smart city development.
“Poor infrastructure maintenance culture (S5)Abigo et al. (2012)”
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- Premisecitation
High rate of urbanisation is a challenge of smart city development.
“High rate of urbanisation (EN2) Ogundare and Ogunbodede (2014)”
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Lack of cooperation and coordination between city's networks is a challenge of smart city development.
“Lack of cooperation and coordination between city's networks (PG1) Kogan and Lee (2014); Nam and Pardo (2011);”
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- cites Nam and Pardo (2011)
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Absence of public-private partnership participation is a challenge of smart city development.
“Absence of public-private partnership participation (PG4) Koppenjan and Enserink (2009)”
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- May combine two claims. 19
- The quote only partly states this claim. 1
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Findingown dataAmong the six dimensions, variables relating to the environment have the highest significance level, with an overall impact level of 3.87.
“However, on an individual basis, variables relating to the environment have a higher significance level with an overall level of 3.87.”
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Findingown dataThe economic and political/governance dimensions have impact levels above average (3.0).
“Despite being the dimensions with the least impact level, the economic and political/governance dimensions still have impact level of above average.”
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FindingreasoningThe overall impact level (OIL) of all 34 assessed challenges on smart city attainment in Nigeria is 3.62, which is above the average of 3.0 and indicates a high impact.
“Considering the Likert scale of one to five with three being average, the OIL of 3.62 derived implies that all the assessed 34 variables have a high impact on the attainment of a smart city in Nigeria as this is above average of 3.0.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLack of awareness and poverty are crucial challenges of smart city development discovered in the study.
“Other crucial challenges discovered include lack of awareness and poverty that has characterised the country in recent times.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe issue of rapid urbanisation emanating from the continuous rise in population is significant.
“More significantly, the issue of rapid urbanisation emanating from the continuous rise in population.”
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Findingown dataDespite governance having a significant impact, the major challenge facing smart city development in Nigeria lies in the environment.
“Despite governance having a significant impact, it was observed that the major challenge facing smart city development in Nigeria lies in the environment.”
Quote in the paperSubstantial claim- Rests on an assumption: Poor planning of cities is a challenge of smart city development.
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Findingown dataThe study found that epileptic internet connectivity in Nigeria and the lack of embrace of digital technologies are critical technological issues facing smart city development in the country.
“Furthermore, the study found that the epileptic internet connectivity in Nigeria and the lack of embrace of digital technologies are critical technological issues facing smart city development in the country.”
Quote in the paperSubstantial claim- Rests on an assumption: High cost, lack of access, and slow internet connectivity are critical issues in most African countries.
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PremisecitationIt is practically impossible to have an all-inclusive smart city without cooperation between a city's network such as public institutions, private sector, voluntary sector and citizens.
“Nam and Pardo (2011) posited that it is practically impossible to have an all-inclusive smart city in an environment wherein cooperation between city's network such as public institutions, private sector, voluntary sector and citizens is absent.”
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PremisecitationBarriers to smart city attainment can be categorised into six distinct groups: economic, social, technology, governance, environmental, and legal and ethical.
“Rana et al. (2019) assessed the barriers of smart cities in India and concluded based on existing literature that the barriers towards smart city attainment can be categorised into six distinct groups.”
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PremisecitationWhen governance is poor and trust does not exist between the government and its citizens, smart city development cannot be attained.
“When governance is poor, and trust does not exist between the government and its citizen, smart city development cannot be attained (Ruhlandt, 2018).”
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PremisecitationThe Lagos State Governor signed a smart city deal with Dubai in 2016 to transform Lagos into a smart city, but the deal has not been realised.
“For instance, in 2016, the Lagos State Governor signed a smart city deal with Dubai with the sole aim of transforming Lagos -one of the major commercial cities in Nigeria-into a smart city.Unfortunately, the realisation of this deal is yet to occur (Ekwealor, 2016).”
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PremisecitationPoor education engenders a poor awareness of the concept of smart cities, which is a crucial challenge of attaining smart cities.
“A poor education engenders a poor awareness of the concept of smart cities which is another crucial challenge of attaining smart cities (cf.Kogan and Lee, 2014;Rana et al., 2019).”
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- cites Rana et al., 2019
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PremisecitationPeople within an environment have an important role to play in the proper deployment of smart applications.
“Similarly, people within an environment have an important role to play in the proper deployment of smart applications (Al-Nuaimi et al., 2015;Kramers et al., 2014).”
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PremisecitationThe internet is the backbone of any connected city.
“With the internet being the backbone of any connected city (Silva et al., 2018)”
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PremisecitationThe major culprits of Nigeria's high level of poverty are unemployment, high level of dependent population, and overpopulation.
“According to George and Ukpong (2013), the major culprits of this high level of poverty are unemployment, high level of dependent population, and overpopulation.”
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PremisecitationEconomic instability is a vital issue; instability and uncertainty in any economy have severe effects on long-term growth, cost of living and infrastructure delivery.
“Economic instability is also a vital issue.Studies have shown that the resultant effect of instability and uncertainty in any economy is severe on long-term growth, cost of living and infrastructure delivery (Adefeso and Mobolaji, 2010;Akanni and Osinowo, 2013).”
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InterpretationreasoningSmart city development will continue to be more of a dream than a reality in Nigeria unless policymakers checkmate the high rate of urbanisation and increased population through proper development of rural areas.
“The implication of these findings is that smart city development will continue to be more of a dream than a reality in Nigeria unless policymakers find a way to checkmate the issue of high rate of urbanisation and increased population through proper development of rural areas.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe study's findings were limited by certain factors, most significantly the method adopted.
“the findings were limited by certain factors.Most significant is the method adopted.”
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PremisecitationThere is a fine line between gathering citizens' data and ensuring privacy rights are protected.
“Khan et al. (2014) noted that there is a fine line between gathering citizens' data and ensuring privacy rights are protected.”
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Interpretationown dataThe study's findings indicate that Nigeria has more urgent issues to tackle before considering city transformation, including high urbanisation, increased population growth, poor basic infrastructure, poverty, poor legislation and regulations, economic instability, and poor governance.
“Practically, the study's findings revealed that the country has more urgent issues to tackle before considering city transformation.These issues include high urbanisation, increased population growth, poor basic infrastructure, poverty, poor legislation and regulations, economic instability, poor governance etc.”
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Study design and conductown dataA total of 154 responses were collected after one month and three weeks of questionnaire administration.
“However, a total of 154 responses were collected after one month and three weeks of questionnaire administration.”
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PremisecitationNigeria has the highest number of people living in extreme poverty compared to other countries around the world.
“The Vanguard (2018) reported that the country has the highest number of people living in extreme poverty when compared to other countries around the world.”
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PremisecitationBig data analytics has a significant influence on the attainment of smart cities.
“For instance, Al-Nuaimi et al. (2015) noted a significant influence of big data analytics on the attainment of smart cities.”
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PremisecitationPersistent poverty is a common issue in Nigeria.
“The situation is similar in Nigeria as persistent poverty is a common issue (Danaan, 2018).”
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Study design and conductreasoningThe exact number of questionnaire distributions and total response rate could not be calculated because of the snowball sampling approach.
“Based on the approach adopted, determining the exact number of distributions becomes difficult, thus making the calculation of a total response rate impossible.”
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PremisecitationAt present, Nigeria has the highest population in Africa, with over 196 million people.
“At present, Nigeria has the highest population in Africa, with over 196 million people (United Nations, 2019).”
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PremisecitationPopulation increase generates traffic congestion, pollution and increased social inequality.
“Also, population increase generate traffic congestion, pollution and increased social inequality (Monzon, 2015;Neirotti et al., 2014).”
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Not checked in the free run.
May combine two claims.
Study design and conductreasoningModel 3 (M(•, ⨁)) is the most suitable fuzzy synthetic evaluation model for this study because many factors (34) are considered and the difference in their weights is minimal.
“While these four models have their unique characteristics, only model 3 is most suitable for this study as it can be adopted when many factors are being considered, and the difference in their weight is minimal (refer to Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe data gathered from the 34 assessed challenges is not normally distributed, as the Shapiro-Wilk test p-value for all 34 challenges is 0.000, below 0.05.
“Shapiro-Wilk test revealed that the p-value of all the 34 assessed challenges is 0.000, which is < 0.05 required criteria for normality.This means that the data gathered is not normally distributed, hence only statistical methods that do not require a data to normally distributed approach can be adopted.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAkamai, a global content delivery platform, ranked the internet speed of Nigeria at 114 out of 143.
“Akamai -a global content delivery platform -ranked the internet speed of Nigeria at 114 out of 143”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Akamai
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne essential dimension needed for smart city attainment is having smart people derived from a proper education.
“Giffinger et al. (2007) noted that one of the essential dimensions needed for smart city attainment is having smart people derived from a proper education.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Giffinger et al., 2007
Not checked in the free run.
May combine two claims.
PremisecitationLack of adoption and poor development of industry 4.0 technologies is evident in most African countries.
“However, the case is not the same for most African countries where lack of adoption and poor development is still evident (Aghimien et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Aghimien et al., 2019
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe high population in Nigeria results in severe pressure on scarce resources and high urban migration in search of green pastures.
“The resultant effect of this is the severe pressure on scarce resources and high urban migration in search of green pastures.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The situations in other developing countries, particularly in Africa, are similar to those observed in Nigeria.
“Theoretically, the work creates a strong theoretical foundation for future studies on the attainment of a smart city in developing countries, particularly in Africa where the situations are similar to those observed in the current study area.”
The paper relies on this without support.
High cost, lack of access, and slow internet connectivity are critical issues in most African countries.
“Another critical issue is the high cost, lack of access, and slow internet connectivity that has bedevilled most Africa countries.”
The paper relies on this without support.
Poor planning of cities is a challenge of smart city development.
“Poor planning of cities (EN1)”
The paper relies on this without support.
Virus threats and lack of privacy are important issues of technology adoption.
“also added that virus threats and lack of privacy are important issues of technology adoption.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Weak citizen involvement, poor governance, and threats of system failure are the main concerns hampering the development of sustainable smart cities.
“While weak citizen involvement, poor governance, and threats of system failure are the main concerns hampering the development of sustainable smart cities (Aghimien et al. 2020)”
From Blockchain technology in the smart city: A bibliometric review (2022) · cites this paper as Aghimien et al. 2020
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.
Environmental impact exceeds every component score
MajorThe reported environmental impact of 3.87 exceeds all six environmental sub-attribute mean scores; the highest is 3.67. The described weighting of those components cannot produce a score above every component.
“variables relating to the environment have a higher significance level with an overall level of 3.87.”
“| Environment | EN1 | 10.146 | 0.071 | 3.06 | 0.15 | 20.77 | 0.18 | | | EN2 | 3.480 | 0.626 | 3.67 | 0.18 | | | | | EN3 | 4.200 | 0.521 | 3.56 | 0.17 | | | | | EN4 | 10.675 | 0.058 | 3.32 | 0.16 | | | | | EN5 | 23.702 | 0.000** | 3.65 | 0.18 | | | | | EN6 | 4.213 | 0.519 | 3.52 | 0.17 | | |”
Overall membership result does not match its displayed calculation
MinorThe displayed products for the third membership category total 0.17764, which rounds to 0.18, not the reported 0.16. Substituting 0.18 into the paper's stated overall-impact calculation raises its reported 3.62 to about 3.68.
“0.11x0.20+0.24x0.216+0.21x0.14+0.14x0.15+0.18x0.21+0.12x0.13”
“Membership function for all challenges of smart city development (Level 1) = (0.05 0.22, 0.16, 0.30, 0.29).”
Governance membership differs between table and calculation
MinorTable 3 gives the governance dimension's fifth membership value as 0.97, whereas the overall-membership calculation uses 0.26 for that same value.
“| Politics/Governance PG1 | 0.14 | (0.10, 0.34, 0.27, 0.16, 0.12) | (0.07, 0.22, 0.15, 0.26, 0.97) |”
“0.11x0.22+0.24x0.29+0.21x0.34+0.14x0.26+0.18x0.27+0.12x0.31”
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Sorted by citations
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- Authors
- Aghimien, D. O., Aigbavboa, C., Edwards, D. J., Mahamadu, A.-M., Olomolaiye, P., Nash, H., & Onyia, M.
- Affiliations
- University of Johannesburg (ZA)
- Birmingham City University (GB)
- University of the West of England (GB)
- University of Nigeria (NG)
- ORCID
- Venue
- Smart and Sustainable Built Environment
- Publisher
- Emerald
- Published
- 2020-10-02
- Volume
- 11
- Issue
- 3
- Pages
- 405-421
- ISSN
- 2046-6099 (ISSN-L)
- OpenAlex
- W3087914010
- Semantic Scholar
- 7564144321a11e1846a8d45e2b5125ed0e565860
- Cited by
- 94
- References
- 72
- Citations by year
- 2026: 11 · 2025: 8 · 2024: 21 · 2023: 10 · 2022: 18 · 2021: 25 · 2020: 1
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Smart and Sustainable Built Environment (publishedVersion)
- BCU Open Access Repository (Birmingham City University) (acceptedVersion)
- UWE Research Repository (UWE Bristol) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Social Sciences › Urban Studies › Sustainable Urban and Rural Development
- Physical Sciences › Engineering › Building and Construction › Construction Management and Sustainability
- Keywords
- smart city development, developing countries, Nigeria, fuzzy comprehensive evaluation, smart city challenges, governance, economic problems, social challenges, technical challenges, environmental problems, legal challenges, public infrastructure, built environment professionals
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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