Selected Publications

• Loo, B. P. Y., Li, L., & Namdeo, A. (2023). Reducing road transport emissions for climate policy in China and India. Transportation Research Part D: Transport and Environment, 122, 103895.
• Tsoi, K. H., Loo, B. P. Y., Li, X., & Zhang, K. (2023). The co-benefits of electric mobility in reducing traffic noise and chemical air pollution: Insights from a transit-oriented city. Environment International, 178, 108116.
• Fan, Z., Zhang, F., & Loo, B. P. Y. (2022). Rhythm of transit stations: Uncovering the activity-travel dynamics of transit-oriented development in the U.S. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12503–12517.
• Loo, B. P. Y., & Tang, W. S. M. (2019). Mapping smart cities. Journal of Urban Technology, 26(2), 129–146.
• Wong, W., & Wong, S. C. (2019). Unbiased estimation methods of nonlinear transport models based on linearly projected data. Transportation Science, 53, 665–682.
• Loo, B. P. Y. (2018). Unsustainable transport and transition in China. London & New York: Routledge.
• Sun, C., Pei, X., Hao, J., Wang, Y., Zhang, Z., & Wong, S. C. (2018). Role of road network features in the evaluation of incident impacts on urban traffic mobility. Transportation Research Part B: Methodological, 117, 101–116.
• Lin, Z. Y., Wong, S. C., Zhang, P., & Choi, K. (2018). A predictive continuum dynamic user-optimal model for the simultaneous departure time and route choice problem in a polycentric city. Transportation Science, 52, 1496–1508.
• Jiang, Y. Q., Wong, S. C., Zhang, P., & Choi, K. (2017). Dynamic continuum model with elastic demand for a polycentric urban city. Transportation Science, 51, 931–945.
• Loo, B. P. Y., & Leung, K. Y. K. (2017). Transport resilience: The Occupy Central Movement in Hong Kong from another perspective. Transportation Research Part A: Policy and Practice, 106, 100–115.
• Loo, B. P. Y., & Banister, D. (2016). Decoupling transport from economic growth: Extending the debate to include environmental and social externalities. Journal of Transport Geography, 57, 134–144.

• Loo, B. P. Y., Tsoi, K. H., Axhausen, K. W., Cao, M., Lee, Y., & Koh, K. P. (2023). Spatial risk for a superspreading environment: Insights from six urban facilities in six global cities across four continents. Frontiers in Public Health, 11, 1128889.
• Koh, K., Reno, R., & Hyder, A. (2019). Examining disparities in food accessibility among households in Columbus, Ohio: An agent-based model. Food Security, 11(2), 317–331.
• Koh, K., Grady, S. C., Darden, J., & Vojnovic, I. (2018). Adult obesity prevalence at the county level in the United States, 2000–2010: Downscaling public health survey data using a spatial microsimulation approach. Spatial and Spatio-temporal Epidemiology, 26, 153–164.
• Koh, K., Grady, S. C., Vojnovic, I., & Darden, J. (2018). Impacts of federally funded state obesity programs on adult obesity prevalence in the United States, 1998–2010. Public Health Reports, 133(2), 169–176.
• Koh, K., Reno, R., & Hyder, A. (2018). Designing an agent-based model using group model building: Application to food insecurity patterns in a U.S. Midwestern metropolitan city. Journal of Urban Health, 95(2), 278–289.

• Loo, B. P. Y., Li, X., & Wong, R. W. M. (2023). Environmental comparative case studies on modular integrated construction and cast-in-situ construction methods. Journal of Cleaner Production, 428, 139303.
• Wong, R. W. M., & Loo, B. P. Y. (2022). Sustainability implications of using precast concrete in construction: An in-depth project-level analysis spanning two decades. Journal of Cleaner Production, 378, 134486.
• Yang, Y. F., Ng, S. T., Zhou, S. H., Xu, F. J., Li, D. Z., & Li, H. Y. (2020). A federated pre-event community resilience approach for assessing physical and social sub-systems: An extreme rainfall case in Hong Kong. Sustainable Cities and Society, 52, 101859.
• Yang, Y. F., Ng, S. T., Zhou, S. H., Xu, F. J., & Li, H. Y. (2019). A physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: A climatic extreme event case in Hong Kong. Sustainable Cities and Society, 47, 1–14.
• Li, H. Y., Zhang, X. L., Ng, S. T., & Skitmore, R. M. (2018). Quantifying stakeholder influence in decision/evaluations relating to sustainable construction in China: A Delphi approach. Journal of Cleaner Production, 173, 160–170.
• Yang, Y. F., Ng, S. T., Xu, F. J., & Skitmore, R. M. (2018). Towards sustainable and resilient high-density cities through better integration of infrastructure networks. Sustainable Cities and Society, 42, 407–422.
• Hossain, M. U., & Ng, S. T. (2018). Critical consideration of buildings’ environmental impact assessment towards adoption of circular economy: An analytical review. Journal of Cleaner Production, 205, 763–780.
• Li, J., Ng, S. T., & Skitmore, R. M. (2017). Review of low-carbon refurbishment solutions for residential buildings with particular reference to multi-story buildings in Hong Kong. Renewable and Sustainable Energy Reviews, 73, 393–407.

• Sun, X., Yung, N. H. C., Lam, E. Y., & So, H. K.-H. (2017). Computationally efficient hyperspectral data learning based on the doubly stochastic Dirichlet process. IEEE Transactions on Geoscience and Remote Sensing, 55(1), 363–374.
• Shi, R., Wong, J. S. J., Lam, E. Y., Tsia, K. K., & So, H. K.-H. (2019). A real-time coprime line scan super-resolution system for ultra-fast microscopy. IEEE Transactions on Biomedical Circuits and Systems, 13(4), 781–792.
• Meng, N., Lam, E. Y., Tsia, K. K. M., & So, H. K.-H. (2019). Large-scale multi-class image-based cell classification with deep learning. IEEE Journal of Biomedical and Health Informatics, 23(5), 2091–2098.