Afandizadeh, S., & Bigdeli Rad, H. (2021). Developing a model to determine the number of vehicles lane changing on freeways by Brownian motion method. Nonlinear Engineering, 10(1),
450-460.
-Afandizadeh, S., Aziz Jalali, D., & Bigdeli Rad, H. (2023). Optimal routing for shared autonomous vehicles feeder services in urban networks. Journal of Transportation Research.
-Alobaydi, D., Al-Mosawe, H., Lateef, I. M., & Albayati, A. H. (2020). Impact of urban morphological changes on traffic performance of Jadriyah intersection. Cogent Engineering, 7(1), 1772946.
-Ameri, A., Bigdeli Rad, H., Shaker, H., & Ameri, M. (2021). Cellular Transmission and Optimization Model Development to Determine the Distances between Variable Message Signs. Journal of Transportation Infrastructure Engineering, 7(1), 1-16.
-Berghauser Pont, M., Stavroulaki, G., & Marcus, L. (2019). Development of urban types based on network centrality, built density and their impact on pedestrian movement. Environment and Planning B: Urban Analytics and City Science, 46(8),1549-1564.
-Bivina, G. R., & Parida, M. (2019). Modelling perceived pedestrian level of service of sidewalks: A structural equation approach. Transport, 34(3), 339-350.
-Georgiou, A., Skoufas, A., & Basbas, S. (2021). Perceived Pedestrian Level of Service in an urban central network: The case of a medium size Greek city. Case Studies on Transport Policy, 9(2), 889-905.
-Greenberg, E., Natapov, A., & Fisher-Gewirtzman, D. (2020). A physical effort-based model for pedestrian movement in topographic urban environments. Journal of Urban Design, 25(1),86-107.
-Habib, M. A., Alam, M. J., & Holmes, D. (2021). Pedestrian Micro-Simulation for Evaluating the Impacts of Social Distancing Regulations on a Dense Urban Street in Halifax, Canada (No. TRBAM-21-01362).
-Hajisoleimani, M. M., Abdi, A., & Bigdeli Rad, H. (2021). Intermodal Non-Motorized Transportation Mode Choice; Case Study: Qazvin City. Space Ontology International Journal, 10(3), 31-46.
-Lakmali, N., & Gamage, R. (2020). Pedestrian Movement Tracking and Tracing in Public Space.
Lerman, Y., & Omer, I. (2016). Urban area types and spatial distribution of pedestrians: Lessons from Tel Aviv. Computers, Environment and Urban Systems, 55, 11-23.
-Lerman, Y., Rofè, Y., & Omer, I. (2014). Using space syntax to model pedestrian movement in urban transportation planning. Geographical Analysis, 46(4), 392-410.
-Lindelöw, D., Koglin, T., & Svensson, Å. (2016). Pedestrian planning and the challenges of instrumental rationality in transport planning: emerging strategies in three Swedish municipalities. Planning Theory & Practice, 17(3), 405-420.
-Monokrousou, K., & Giannopoulou, M. (2016). Interpreting and predicting pedestrian movement in public space through space syntax analysis. Procedia-Social and Behavioral Sciences, 223, 509-514.
-Rossetti, S., Tiboni, M., Vetturi, D., Zazzi, M., & Caselli, B. (2020). Measuring pedestrian accessibility to public transport in urban areas: A GIS-based discretisation approach. European Transport/Trasporti Europei, (76).
-Stanitsa, A., Hallett, S. H., & Jude, S. (2023). Investigating pedestrian behaviour in urban environments: A Wi-Fi tracking and machine learning approach. Multimodal Transportation, 2(1), 100049.
-Sun, G., Webster, C., & Zhang, X. (2021). Connecting the city: A three-dimensional pedestrian network of Hong Kong. Environment and Planning B: Urban Analytics and City Science, 48(1), 60-75.
-Van Nes, A., Yamu, C., van Nes, A., & Yamu, C. (2021). Space syntax applied in urban practice. Introduction to space syntax in Urban studies, 213-237.
-Zargari, S. A., & Rad, H. B. (2023). Development of a gray box system identification model to estimate the parameters affecting traffic accidents. Nonlinear Engineering, 12(1), 20220218.