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Anjomshoa, E (2024) Key performance indicators of construction companies in branding products and construction projects for success in a competitive environment in Iran. Engineering, Construction and Architectural Management, 31(05), 2151-75.
Arora, M, Prakash, A, Mittal, A and Singh, S (2024) Examining the slow acceptance of HR analytics in the Indian engineering and construction industry: a SEM-ANN-based approach. Engineering, Construction and Architectural Management, 31(05), 1973-93.
Aslam, M, Baffoe-Twum, E and Malik, S (2024) Benchmarking lean construction conformance in Pakistan’s construction industry. Engineering, Construction and Architectural Management, 31(05), 2077-100.
Chan, I Y S and Chen, H (2024) Towards an integrative analysis of underground environment and human health: a survey and field measurement approach. Engineering, Construction and Architectural Management, 31(05), 1807-34.
- Type: Journal Article
- Keywords: integrative analysis; physical health; psychosocial health; underground environment
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-12-2021-1120
- Abstract:
Purpose: Due to land resource scarcity, sustainable urban development in high-density cities has long been challenging. As such, many cities are formulating plans to “dig deep”, resulting in more citizens working and/or staying underground for longer periods of time. However, owing to the particularities of underground space, the factors involved in the creation of a healthy environment are different from those involved in aboveground developments. This study thus aims to investigate the influences of various underground environment factors on users' health through a holistic approach. Design/methodology/approach: To achieve this aim, 12 underground sites and 12 corresponding aboveground sites are selected for a large-scale questionnaire survey, resulting in 651 survey samples. The survey covers post-occupancy evaluation of health (physical and psychosocial), underground environmental quality (visual, thermal, acoustic comfort, indoor air quality and ventilation), space design and greenery. Independent-sample T-test, Pearson correlation, multiple regression modelling and structural equation modelling are used to investigate whether significant differences exist between health of underground and aboveground users, and to develop an underground environment-health model for unveiling the significant associations between underground environment factors and users' health. To cross validate the results, an objective field measurement study is further conducted on six underground sites. The objective measurement results are used to cross validate the survey results. Findings: The questionnaire results provide the following evidence: (1) health of underground users is significantly poorer than that of their aboveground counterparts; (2) underground development users' health is significantly affected by space design, greenery and environmental quality in terms of thermal comfort, indoor air quality, ventilation and acoustic comfort but not visual comfort; and (3) amongst the various identified factors, space design has the strongest predicting effects on human health. The field study echoes the survey findings and further unveils the relationships between different environmental factors and human health. Originality/value: The results shed light on the importance of distinguishing between underground developments and aboveground ones in various guidelines and standards, especially those related to space management. © 2022, Emerald Publishing Limited.
Cole-Colander, C (2003) Designing the Customer Experience. Building Research & Information, 31(05), 357–66.
Cong, W, Zhang, S, Liang, H and Xiang, Q (2024) Impact of challenge and hindrance job stressors on informal safety communication of construction workers in China: the moderating role of co-worker relationship. Engineering, Construction and Architectural Management, 31(05), 2011-33.
Cooper, R, Bruce, M, Wootton, A, Hands, D and Daly, L (2003) Managing design in the extended enterprise. Building Research & Information, 31(05), 367–78.
Espinoza, D and Morris, J W F (2013) Decoupled NPV: a simple, improved method to value infrastructure investments. Construction Management and Economics, 31(05), 471-96.
Fazeli, A, Banihashemi, S, Hajirasouli, A and Mohandes, S R (2024) Automated 4D BIM development: the resource specification and optimization approach. Engineering, Construction and Architectural Management, 31(05), 1896-922.
Fellows, R and Liu, A M M (2013) Use and misuse of the concept of culture. Construction Management and Economics, 31(05), 401-22.
Gann, D M, Salter, A J and Whyte, J K (2003) Design Quality Indicator as a tool for thinking. Building Research & Information, 31(05), 318–33.
Ghansah, F A, Lu, W and Ababio, B K (2024) Modelling the critical challenges of quality assurance of cross-border construction logistics and supply chain during the COVID-19 pandemic. Engineering, Construction and Architectural Management, 31(05), 2128-50.
Gibson, E G and Gebken, R J (2003) Design quality in pre-project planning: applications of the Project Definition Rating Index. Building Research & Information, 31(05), 346–56.
Goh, Y M and Chua, D (2013) Neural network analysis of construction safety management systems: a case study in Singapore. Construction Management and Economics, 31(05), 460-70.
Guo, Y, Liu, J, Chen, C, Luo, X and Martek, I (2024) PPP project price mode typologies: a China-based comparative case study. Engineering, Construction and Architectural Management, 31(05), 2034-52.
Han, Y, Shen, J, Zhu, X, An, B and Bao, X (2024) Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework. Engineering, Construction and Architectural Management, 31(05), 2101-27.
Hansen, K L and Vanegas, J A (2003) Improving design quality through briefing automation. Building Research & Information, 31(05), 379–86.
Hu, Y, Song, J and Zhao, T (2024) Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects. Engineering, Construction and Architectural Management, 31(05), 1835-56.
Huang, W, Zhong, D and Chen, Y (2024) The relationship between construction workers’ emotional intelligence and safety performance. Engineering, Construction and Architectural Management, 31(05), 2176-201.
Li, H, Chen, Y, Zheng, J, Fang, Y, Yang, Y, Skitmore, M, Rusch, R and Jiang, T (2024) The influence of the psychological contract on the safety of performance of construction workers in China. Engineering, Construction and Architectural Management, 31(05), 1879-95.
Liao, L, Ye, Y, Wei, N, Li, H and Fan, C (2024) Exploring blockchain technology acceptance among non-managerial construction practitioners in Shenzhen, China. Engineering, Construction and Architectural Management, 31(05), 2053-76.
Odeyinka, H A, Lowe, J and Kaka, A P (2013) Artificial neural network cost flow risk assessment model. Construction Management and Economics, 31(05), 423-39.
Onubi, H O, Carpio, M and Hassan, A S (2024) Job satisfaction in green construction projects: antecedent roles of green work climate, pro-environmental construction practice and green human capital. Engineering, Construction and Architectural Management, 31(05), 1857-78.
Orr, S and Jadhav, A (2024) The effect of construction sustainability system interactions on financial performance: a sociotechnical perspective. Engineering, Construction and Architectural Management, 31(05), 1923-46.
Pinder, J, Iii, R S and Saker, J (2013) Stakeholder perspectives on developing more adaptable buildings. Construction Management and Economics, 31(05), 440-59.
Thomson, D S, Austin, S A, Devine-Wright, H and Mills, G R (2003) Managing value and quality in design. Building Research & Information, 31(05), 334–45.
Tiew, S Y (2024) Factors affecting performance of graduate architects in contract implementation management: a case study on housing projects in Malaysia. Engineering, Construction and Architectural Management, 31(05), 1789-806.
Wang, D, Luo, J and Wang, Y (2024) Multifactor uncertainty analysis of prefabricated building supply chain: qualitative comparative analysis. Engineering, Construction and Architectural Management, 31(05), 1994-2010.
Whyte, J K and Gann, D M (2003) Design Quality Indicators: work in progress. Building Research & Information, 31(05), 387–98.
Wu, X, Qian, Q and Zhang, M (2024) Impact of supervisor leadership on construction worker safety behavior in China: the moderating role of social capital. Engineering, Construction and Architectural Management, 31(05), 1947-72.