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Alashari, M, El-Rayes, K and Alotaibi, M (2023) Optimizing the planning of maintenance activities in education buildings. Journal of Construction Engineering and Management, 149(10).
Chang, R, He, T, Han, Y, Xue, R and Zhang, W E (2023) Geographical imbalance and influential characteristics of the green building market. Journal of Construction Engineering and Management, 149(10).
- Type: Journal Article
- Keywords: geographical imbalance; green building market; spatial autocorrelation; spatial distribution; spatial regression
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-12971
- Abstract:
Green buildings have gained increasing momentum during the past decade, evidenced by an uptick in green building construction worldwide. To facilitate green building development, it is crucial to understand the current geographical distribution of green buildings, thereby identifying emerging markets and opportunities for future growth. However, very few studies investigated the spatial characteristics of the green building market and the factors influencing the distribution of green buildings. By examining the national green building market in the United States, we studied the spatial distribution patterns and significant influencing factors of the county-level US green building markets. Cluster mapping and hot spots of the green building markets were identified through spatial autocorrelation analysis. A spatial regression model with high performance (R2 of 0.83) was developed to identify the significant influencing factors. We found a statistically significant clustering phenomenon of county-level US green building markets. The spatial error model reveals that three factors, namely, the number of housing units, gross domestic product, and the local green building company index, significantly influence the number of green buildings at the county level. We also found that the county-level green building market is influenced by these factors of not only the host county, but also the neighboring counties. Our findings provide a useful reference for stakeholders' decision-making process concerning local green building market development.
Cong, W, Goh, Y M, Zhang, S, Liang, H, Zhou, Z and Guo, N (2023) Linking leader-member exchange and informal safety communication of construction workers in China: A cognitive psychology perspective. Journal of Construction Engineering and Management, 149(10).
Dias Barkokebas, R and Li, X (2023) VR-ret: A virtual reality-based approach for real-time ergonomics training on industrialized construction tasks. Journal of Construction Engineering and Management, 149(10).
Elbashbishy, T and El-Adaway, I H (2023) System dynamic modeling to study the impact of construction industry characteristics and associated macroeconomic indicators on workforce size and labor retention rate. Journal of Construction Engineering and Management, 149(10).
Han, J, Gu, F and Wu, G (2023) Managing cooperation in multipartner project teams with heterogeneous team members. Journal of Construction Engineering and Management, 149(10).
Koc, K, Ekmekcioglu, Ö and Işlk, Z (2023) Developing a hybrid fuzzy decision-making model for sustainable circular contractor selection. Journal of Construction Engineering and Management, 149(10).
Lachance, E, Lehoux, N and Blanchet, P (2023) A simulation model to analyze different automation scenarios in a mixed-assembly manufacturing line: Timber-frame prefabrication industry. Journal of Construction Engineering and Management, 149(10).
Saeed, F, Mostafa, K, Rauch, C and Hegazy, T (2023) Environmental impact and cost assessment for reusing waste during end-of-life activities on building projects. Journal of Construction Engineering and Management, 149(10).
Singh, V V and Tommelein, I D (2023) Visual workload leveling and zoning using work density method for construction process planning. Journal of Construction Engineering and Management, 149(10).
Tran, H, Robert, D, Gunarathna, P and Setunge, S (2023) Stochastic prediction of road network degradation based on field monitoring data. Journal of Construction Engineering and Management, 149(10).
Wu, S, Xie, H, Zeng, Z, Wang, M, Zhao, H and Liu, Y (2023) Influence of pea-gravel layer on segment ring support performance in shield TBM tunnels: A discrete-continuous coupling simulation and model test. Journal of Construction Engineering and Management, 149(10).