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Afzali Borujeni, S H, Zare, M and Adelzade Saadabadi, L (2024) Comparison of factors affecting the acceptance of the trenchless technology and open-trench method using ANP and AHP: Case study in Iran. Journal of Construction Engineering and Management, 150(01).
Aghililotf, M, Ramezanianpour, A M, Arbabi, H and Maghrebi, M (2024) Identifying construction managers' challenges: A novel approach based on social network analysis. Journal of Construction Engineering and Management, 150(01).
Alikhani, H and Latifi, M (2024) Evaluation of the healing performance of hot-mix asphalt containing waste steel shavings under different microwave induction healing cycles. Journal of Construction Engineering and Management, 150(01).
Anwer, S, Li, H, Antwi-Afari, M F, Mirza, A M, Rahman, M A, Mehmood, I, Guo, R and Wong, A Y L (2024) Evaluation of data processing and artifact removal approaches used for physiological signals captured using wearable sensing devices during construction tasks. Journal of Construction Engineering and Management, 150(01).
Arowoiya, V A, Oke, A E, Ojo, L D and Adelusi, A O (2024) Driving factors for the adoption of digital twin technology implementation for construction project performance in Nigeria. Journal of Construction Engineering and Management, 150(01).
D'Orazio, M, Bernardini, G and Di Giuseppe, E (2024) Improving sustainable management of university buildings based on occupancy data. Journal of Construction Engineering and Management, 150(01).
Da Silva, W O P, Farias, B A, Monteiro, I B, Pegorini, V, Casanova, D and Bisconsini, D R (2024) Development of global quality index of unpaved roads. Journal of Construction Engineering and Management, 150(01).
- Type: Journal Article
- Keywords: ride quality; smartphone; unpaved road; unpaved road management; unsurfaced road
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14085
- Abstract:
Unpaved roads often are in poor condition, especially in developing countries, due to limited resources, resulting in discomfort, accident risk, vehicle operating costs (VOCs), freight transport damage, and difficulties accessing essential services by rural populations. Previous studies proposed methods that do not enable a complete and cost-effective unpaved road evaluation in the context of an integrated unpaved road management system (URMS). Developing global condition indexes is crucial in establishing a hierarchical classification of the whole road network, rationalizing resource allocation, and facilitating planning maintenance and rehabilitation candidate projects within a medium to long timeframe. The Global Quality Index of Unpaved Roads (GQIUR) development in this work provides data for management at the network and project levels, allowing the evaluation of riding quality and both distress at specific road sections. The GQIUR combines the Ride Quality Index of Unpaved Roads (RQIUR), proposed in this study, with the Unsurfaced Road Condition Index (URCI). By capturing data from cameras, accelerometers, and Global Positioning System (GPS) sensors on smartphones affixed to a vehicle's windshield, it is possible to determine the RQIUR by evaluating ride quality while traveling. Recording surface distresses during walking surveys allows URCI calculation. The URCI and RQIUR classification was established based on the existing literature and the practicality of URMS. The GQIUR incorporates these attributes in a balanced manner, considering the comparable importance of the URCI and RQIUR for managers and users. The evaluation covered more than 10 km of unpaved roads. Asphalt and cobblestone pavement samples were compared with unpaved road data. GIS application to the GQIUR shows the general classification of unpaved roads. Unpaved roads present structural and functional distresses, and gravel roads cause excessive vibrations due to roughness and loose aggregates. The method enables priority section identification in a practical, objective, and cost-effective manner.
Ding, S, Hu, H, Chai, Z and Wang, W (2024) Secure and formalized blockchain-IPFS information sharing in precast construction from the whole supply chain perspective. Journal of Construction Engineering and Management, 150(01).
Garcia-Lopez, N P and Fischer, M (2024) Managing on-site production using an activity and flow-based construction model. Journal of Construction Engineering and Management, 150(01).
Jalloul, H, Choi, J, Manheim, D, Yesiller, N and Derrible, S (2024) Incorporating disaster debris into sustainable construction research and practice. Journal of Construction Engineering and Management, 150(01).
Koc, K, Budayan, C, Ekmekcioǧlu, Ö and Tokdemir, O B (2024) Predicting cost impacts of nonconformances in construction projects using interpretable machine learning. Journal of Construction Engineering and Management, 150(01).
Leung, M Y, Wei, X and Ojo, L D (2024) Developing a value-risk management model for construction projects. Journal of Construction Engineering and Management, 150(01).
Liu, Y, Wang, X, Guo, S, Shi, X and Wang, D (2024) Analyzing the optimization of subsidies for PPP urban rail transit projects: A choice between passenger demand, vehicle kilometer, or an improved efficiency-oriented framework. Journal of Construction Engineering and Management, 150(01).
Miao, K, Lou, W, Schonfeld, P and Xiao, Z (2024) Optimal earthmoving-equipment combination considering carbon emissions with an indicator-based multiobjective optimizer. Journal of Construction Engineering and Management, 150(01).
Ning, X, Zhai, F, Xia, N and Hu, X (2024) Protecting the ego: Anticipated image risk as a psychological deterrent to construction workers' safety citizenship behavior. Journal of Construction Engineering and Management, 150(01).
Olayiwola, J, Yusuf, A, Akanmu, A, Gonsalves, N and Abraham, Y (2024) Efficacy of annotated video-based learning environment for drawing students' attention to construction practice concepts. Journal of Construction Engineering and Management, 150(01).
Salih, F, Eissa, R and El-Adaway, I H (2024) Data-driven analysis of progressive design build in water and wastewater infrastructure projects. Journal of Construction Engineering and Management, 150(01).
Zhong, B, Shen, L, Pan, X, Zhong, X and He, W (2024) Dispute classification and analysis: Deep learning-based text mining for construction contract management. Journal of Construction Engineering and Management, 150(01).