The relationships between access, transportation equity and their implications on the resulting travel patterns have garnered increasing interest over the recent years in the transportation field. It is agreed that access is not only based on location and proximity to jobs and services, but is also shaped by the opportunities and constraints of individuals’ daily activities and schedules. Therefore, it is important to incorporate these to achieve forecasts that are more accurate. Our research incorporates these details to achieve forecasts that are more accurate. We develop accessibility measures combining individual’s schedules, socio-economic attributes and location characteristics. We examine how accessibility affects resulting travel behavior (mode choice, trip distance, time, trip chaining, etc.). The models we develop can be used by planners and decision makers to assess the direct impacts of transportation system provision and land-use changes as well as their indirect effects through changes to accessibility at the individual level. Our papers make significant contributions to the field.
Chen, N.; Wang, C.H.; Akar, G. (2017). Geographically Weighted Regression Approach to Investigate Spatial Variations in Activity Space. TRANSPORTATION RESEARCH RECORD, (2671), 40-50. doi:10.3141/2671-05
Chen, N.; Akar, G. (2017). How do socio-demographics and built environment affect individual accessibility based on activity space? Evidence from Greater Cleveland, Ohio. Journal of Transport and Land Use, (1), 477-503. doi:10.5198/jtlu.2016.861
Chen,N; Akar,G. (2016). Effects of neighborhood types & socio-demographics on activity space. JOURNAL OF TRANSPORT GEOGRAPHY, 54, 112-121. doi:10.1016/j.jtrangeo.2016.05.017