Construction Timber Waste Management as a Circular Economy Resource:
Open accessAbstract
Construction projects are key economic stimulus with creation of jobs and attraction of investors. These projects suffer inefficiencies and under-utilization of resources. Timber is one of the key inputs for construction projects that if not properly managed results in project failure. This study adopted a cross-sectional survey design and targeted a sample of 73 project managers in six affordable housing projects located in Nairobi and its environs. Stratified sampling technique was applied by grouping the respondents as per project. A drop-and-pick later technique was used to collect data; thereafter appropriated statistical techniques such as regression and correlation were conducted to validate the hypothesis. The study established that technical, organizational, social, legal & environmental factors had positive influence on construction timber waste management in affordable housing projects in Nairobi. The study further inferred that proper community engagement especially employing the gender card in construction timber waste management contributed towards success and sustainable construction projects. The study recommended adoption of modular construction methods for mass production of affordable housing units, use of design visualization tools e.g. BIM, industry regulators such as NEMA and NCA to conduct capacity building programs on need and methodologies for sustainable construction, promote gender equity on construction sites, enhance management controls for timber products procurement and finally legislation & enforcement of policies on accessibility and proximity to government recycling facilities.
AI snapshot
Written from the paper’s full text.
TL;DR
This cross-sectional survey of affordable housing projects in Nairobi finds that technical, organizational, socio-economic, and legal/environmental factors positively influence construction timber waste management. Organizational factors had the highest mean influence (3.9328), and timber reuse was the most implemented practice (M=3.89).
Key findings
- Technical, organizational, socio-economic, and legal/environmental factors all had a positive significant influence on construction timber waste management in affordable housing projects, based on regression and correlation analysis.
- Organizational factors had the highest mean influence (3.9328, SD 0.83), followed by socio-economic (3.7985, SD 1.19), technical (3.5896, SD 1.31), and legal/environmental factors (3.5597, SD 0.88); the overall average mean was 3.79.
- Among implemented practices, reuse of timber across construction phases ranked highest (M=3.89, SD=0.93), followed by increased recycling (M=3.79, SD=0.87), design-stage elimination (M=3.78, SD=0.83), grading for resale (M=3.69, SD=0.82), and reduced creation of timber waste (M=3.5, SD=1.15).
- Highest-rated subfactors included AHP control measures for proper timber waste management (M=4.81, SD=1.68), workers’ reluctance to recycle wood products (M=4.15, SD=0.81), and prefabrication and enforcement mechanisms (both M=4.13, SD=1.00).
Methods
- Cross-sectional survey design in six affordable housing projects in Nairobi and environs, with data collected December 2023–January 2024.
- Target population was 90 management staff; questionnaires were issued to 73 randomly selected respondents, and 67 complete questionnaires were returned (92% response rate).
- Structured questionnaires used a 1–5 scale; analysis used descriptive statistics (mean, SD, frequencies) and inferential statistics including regression and correlation.
Limitations
- Stated limitations: Not stated in the paper; there is no explicit limitations section.
- Evident: the study relies on self-administered questionnaire perceptions, is cross-sectional, and the completed sample was 67 respondents with 92.54% male respondents, limiting generalizability and gender-based comparison.
- Evident: the sample is described inconsistently (abstract says 73 project managers; methods say target of 90, 73 issued, 67 returned), and regression/correlation results are asserted without reported coefficients or p-values.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 3 cited sources checked · 0 supported · 0 flagged
- Findingown data
Exploratory factor analysis established four factors influencing construction timber waste management: technical, legal & environmental, organizational, and socioeconomic.
“The four exploratory factors established; technical, legal & environmental, organizational and socioeconomic are detailed in Table 2.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
Technical, organizational, social, legal and environmental factors had a positive influence on construction timber waste management in affordable housing projects in Nairobi.
“The study established that technical, organizational, social, legal and environmental factors had positive influence on construction timber waste management in affordable housing projects in Nairobi.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
Proper community engagement, especially employing the gender card in construction timber waste management, contributed towards success and sustainable construction projects.
“The study further established that proper community engagement especially employing the gender card in construction timber waste management contributed towards success and sustainable construction projects.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
Lack of awareness among clients and workers had a rating of M = 3.78, SD = 0.83.
“a lack of awareness among clients and workers (M = 3.78, SD = 0.83)”
Quote in the paperNot a substantial claim - Findingown data
Legal framework issues had a rating of M = 3.79, SD = 1.05.
“legal framework issues (M = 3.79, SD = 1.05)”
Quote in the paperNot a substantial claim
- Findingown data
Experienced designers and government laws had effectiveness ratings of M = 4.02, SD = 1.05.
“Despite the presence of experienced designers and government laws, their effectiveness appears to be slightly lower (M = 4.02, SD = 1.05 for both).”
Quote in the paperNot a substantial claim - Findingown data
The modelling of construction processes had a rating of M = 3.79, SD = 1.05.
“the modelling of construction processes (M = 3.79, SD = 1.05)”
Quote in the paperNot a substantial claim - Findingown data
Technical factors had a positive significant impact on construction timber waste management practices.
“The regression analysis revealed that technical factors had positive significant impact on construction timber waste management practices.”
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
“The findings reveal that technical, organizational, socio-economic, legal and environmental factors significantly influence construction timber waste management in different ways.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
- Findingown data
The need for better guidelines had a rating of M = 3.86, SD = 1.35.
“the need for better guidelines (M = 3.86, SD = 1.35)”
Quote in the paperNot a substantial claim - Findingown data
Organizational factors significantly impact construction timber waste management practices.
“The organization factors were also found to significantly impact construction timber waste management practices.”
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
“The findings reveal that technical, organizational, socio-economic, legal and environmental factors significantly influence construction timber waste management in different ways.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
- Findingown data
Prefabrication and enforcement mechanisms were rated M = 4.13, SD = 1.00.
“Prefabrication and enforcement mechanisms were similarly rated (M = 4.13, SD = 1.00 for both)”
Quote in the paperNot a substantial claim - Findingcitation
Legal and environmental factors significantly affect construction timber waste management practices.
“Additionally, legal and environment factors significantly affected construction timber waste management practices.”
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
“The findings reveal that technical, organizational, socio-economic, legal and environmental factors significantly influence construction timber waste management in different ways.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
- Findingown data
Focus on elimination of timber waste at design had mean 3.78 and standard deviation 0.83.
“and a focus on elimination of timber waste at design at (M=3.78, SD 0.83).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
Cultural factors had a rating of M = 3.79, SD = 0.87.
“Cultural factors (M = 3.79, SD = 0.87)”
Quote in the paperNot a substantial claim - Findingown data
Timber waste grading for sale to individuals or waste processors, such as for firewood, had mean 3.69 and standard deviation 0.82.
“Timber waste is grading for sale to individuals waste processor such as for firewood was at (M = 3.69, SD = 0.82)”
Quote in the paperNot a substantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
Workers' reluctance to recycle wood products had a high rating (M = 4.15, SD = 0.81).
“Workers' reluctance to recycle wood products also scored highly (M = 4.15, SD = 0.81)”
Quote in the paperSubstantial claim - Findingown data
Reuse of timber across different construction phases ranked highest among construction timber waste management elements, with mean 3.89 and standard deviation 0.93.
“From the findings, the reuse of timber across different construction phases ranked highest, with a M=3.89, SD=0.93).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
Institution of construction processes that provide for reduced creation of timber waste was the lowest ranked element, with mean 3.5 and standard deviation 1.15.
“while institution of construction processes that provide for reduced creation of timber waste was the lowest at (M=3.5, SD 1.15).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
Socio-economic factors had a significant impact on construction timber waste management practices.
“The analysis further revealed that socio-economic factors had a significant impact on construction timber waste management practices.”
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
“The findings reveal that technical, organizational, socio-economic, legal and environmental factors significantly influence construction timber waste management in different ways.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- Also stated in: § CONCLUSION AND RECOMMENDATIONS · plain
- Findingown data
Increased recycling measures for construction timber waste ranked second, with mean 3.79 and standard deviation 0.87.
“This was followed by increased recycling measures for timber waste (M=3.79,SD=0.87)”
Quote in the paperNot a substantial claim- The authors state this as an assumption: All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
- Findingown data
High recovery costs had a rating of M = 3.89, SD = 0.93.
“High recovery costs (M = 3.89, SD = 0.93)”
Quote in the paperNot a substantial claim - Premisecitation
Gender equity has a direct influence on construction waste management efforts.
“According to Menegaki and Damigos (2018) gender equity has a direct influence on construction waste management efforts.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Menegaki and Damigos (2018) source
- Interpretationcitation
Gender has a part to play in influencing waste management.
“For instance, the issue of gender also has a part to play in influencing waste management.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Menegaki and Damigos (2018) source
- Interpretationreasoning
Proper community engagement in matters related to waste management can contribute towards suitable waste management practices.
“These findings infer that proper community engagement in matters related to waste management can contributes towards suitable waste management practices.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- Interpretationown data
Workers' reluctance to recycle wood products is a significant barrier to waste management efforts.
“Workers' reluctance to recycle wood products also scored highly (M = 4.15, SD = 0.81), suggesting a significant barrier to waste management efforts.”
Quote in the paperSubstantial claim- Rests on an assumption: The subfactor ratings accurately reflect the actual importance or barrier effect of those factors on timber waste management.
- Interpretationown data
Deployment of advanced technical aspects in handling timber material can enhance management of timber waste in the construction industry.
“These findings imply that deployment of advanced technical aspects in relation to handling timber material can enhance management of timber waste in the construction industry.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- Interpretationreasoning
Proper governing laws and policies on recycling and disposal of waste can improve management of construction timber waste.
“The findings allude that proper governing laws and policies on recycling and disposal of waste can improve management of construction timber waste.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- Interpretationown data
Organization structure in a construction project has an impact on management of construction timber waste practices.
“These findings allude that organization structure in a construction project has an impact on management of construction timber waste practices.”
Quote in the paperSubstantial claim- Rests on an assumption: The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 3
- May combine two claims. 11
The quote only partly states this claim.
Findingown dataThe highest-ranked subfactor indicates strong agreement that AHP has control measures for proper timber waste management (M = 4.81, SD = 1.68).
“The highest-ranked factor indicates strong agreement that AHP has control measures for proper timber waste management (M = 4.81, SD = 1.68).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataA majority (30%) had 6 to 10 years of experience in the construction industry, while the minority (7%) had 0 to 5 years of experience.
“A majority constituting 30%, had 6 to 10 years of experience in the construction industry, while the minority, 7%, had 0 to 5 years of experience (Figure 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe highly influencing technical factors are choice of technology to construct AHP project, designer experience on methods and sequence of construction, adequacy of building information modelling in the project, project managers compliance to specification during procurement, and use of design replication (type designs) across AHP projects.
“Under the technical factors, the following are the highly influencing factors: choice of technology to construct AHP project, Designer experience on methods and sequence of construction, Adequacy of building information modelling in the project, Project managers compliance to specification during procurement and Use of design replication (type designs) across AHP projects.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe highly influencing organizational factors are organizational policies on construction timber waste management, waste minimization & gender equity, adequacy of infrastructure for timber waste separation and grading, and contractors skewed project delivery objectives.
“The following are highly influencing factors under organizational factors: the organizational policies on construction timber waste management, waste minimization & gender equity, adequacy of infrastructure for timber waste separation and grading, contractors skewed project delivery objectives.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe most influential legal and environmental factors include institutional capacity for government to enforce regulations and policies on timber waste management, adequacy and practicality of existing regulations on construction waste management, and lack of a specific regulation for construction timber waste management.
“The most influential factors under legal and environmental include institutional capacity for government to enforce regulations and policies on timber waste management, adequacy and practicality of existing regulations on construction waste management and lack of a specific regulation for construction timber waste management.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe demographics showed that 92.54% of respondents were male and 7.46% were female, indicating that the male gender highly dominates the AHP projects.
“The demographics showed that 92.54% of the respondents were male, and 7.46% were female indicating that the male gender highly dominates the AHP projects.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe most influencing socio-economic factors are attitude of demolition workers towards recycling, high recovery costs for waste, developer awareness level of eco-friendly construction, and financial incentives for good waste management practice.
“The most influencing factors under the social economic were attitude of demolition workers towards recycling, high recovery costs for waste, developer awareness level of eco-friendly construction and financial incentives for good waste management practice.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataA majority of respondents were architects (30%), followed by project construction managers (22%), engineers (21%), quantity surveyors (15%), and project developers (12%).
“distribution of respondents based on their roles revealed a majority were architects (30%) followed by project construction managers (22%) engineers (21%) while quantity surveyors (15%) and finally project developers (12%).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataCultural factors, legal framework issues, and lack of awareness among clients and workers impede effective waste management.
“Cultural factors (M = 3.79, SD = 0.87), legal framework issues (M = 3.79, SD = 1.05), and a lack of awareness among clients and workers (M = 3.78, SD = 0.83) further impede effective waste management.”
Quote in the paperSubstantial claim- Rests on an assumption: The subfactor ratings accurately reflect the actual importance or barrier effect of those factors on timber waste management.
May combine two claims.
Interpretationown dataPrefabrication and enforcement mechanisms are important in managing timber waste.
“Prefabrication and enforcement mechanisms were similarly rated (M = 4.13, SD = 1.00 for both), demonstrating their importance in managing timber waste.”
Quote in the paperSubstantial claim- Rests on an assumption: The subfactor ratings accurately reflect the actual importance or barrier effect of those factors on timber waste management.
May combine two claims.
Study design and conductown dataThe response rate was 92% after receiving 67 complete questionnaires, meeting the 75% threshold.
“The response rate was recorded at 92% after receiving 67 complete questionnaires, which met the threshold of 75% and above, which has been set by many researchers.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationWomen in the construction industry are generally more aware and conscious about waste and abiding in waste management practices.
“The researchers found that women who are in the construction industry are generally more aware and conscious about waste and abiding in waste management practices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Menegaki and Damigos (2018)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
Timber is a key input for construction projects and if not properly managed results in project failure.
“Timber is one of the key inputs for construction projects that if not properly managed results in project failure.”
The authors state this as an assumption.
All respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.
“Random selection was used because it was assumed that all the respondents had an understanding of the construction process and thus had an equal chance of inclusion to participate in the study.”
The paper relies on this without support.
The AHP project in Nairobi City County is representative of affordable housing construction projects in Kenya.
“These factors are important to enhance construction timber waste management in affordable housing construction projects with a focus of adopting construction timber as a circular economy resource.”
The paper relies on this without support.
The regression analysis's significant associations reflect causal impacts of the factors on timber waste management practices.
“The regression analysis revealed that technical factors had positive significant impact on construction timber waste management practices.”
The paper relies on this without support.
The subfactor ratings accurately reflect the actual importance or barrier effect of those factors on timber waste management.
“The highest-ranked factor indicates strong agreement that AHP has control measures for proper timber waste management (M = 4.81, SD = 1.68).”
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.
Literature review identifies both 19 and 28 factors
MinorThe paper gives two different counts for the factors identified by its literature review: 19 and 28.
“Literature review identified 19 factors that influence construction timber waste management in construction sites.”
“A comprehensive literature review identified 28 factors that influence construction timber waste management practices in AHP projects with Nairobi City County.”
Reported average of four factor means is incorrect
MinorThe four means in Table 5 average to 3.72015, or 3.72 to two decimal places, not 3.79.
Reported 3.79 · recomputed 3.72015
“average mean was 3.79 indicating that generally”
Reported standard deviation is impossible on the stated scale
MinorOn a 1-5 scale, observations with a mean of 4.81 cannot have a standard deviation of 1.68; even allowing for a sample standard deviation, the maximum is approximately 0.86 for the study's respondent count.
“AHP has control measures for proper timber waste management (M = 4.81, SD = 1.68).”
“The influence was rated on a 1-5-point scale to capture both quantitative and qualitative information, where 1 means not affected, and 5 means very highly affected.”
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- Authors
- Nyang’au, S. N., Mbuge, D. O., Amedi, D. M., Mati, B., & Vodohi, C.
- Affiliations
- National Construction Authority (NCA)
- University of Nairobi (KE)
- ORCID
- Mbuge, Duncan O.
- Venue
- AFRICA HABITAT REVIEW
- Publisher
- The University of Nairobi
- Published
- 2024-12-06
- Volume
- 19
- Issue
- 3
- Pages
- 3062-3074
- ISSN
- 2519-7851 (ISSN-L)
- 2524-1354
- OpenAlex
- W7170142820
- Semantic Scholar
- fffa71808ceb78ac0da168264604f5b111af0a37
- Cited by
- 0
- References
- 14
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- AFRICA HABITAT REVIEW (publishedVersion, cc-by-nc-sa)
- AFRICA HABITAT REVIEW (publishedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › Recycled Aggregate Concrete Performance
- Physical Sciences › Engineering › Building and Construction › Sustainable Building Design and Assessment
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Keywords
- waste management, circular economy, affordable housing, sustainable construction, community participation, gender equity, modular construction, building information modeling, wood procurement, recycling facilities, Nairobi
About these checks
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-18.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-18.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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