Activity-Based Approach for Modelling Travel Demand Accessibility in the Port Said City – Egypt

Mobility in urban areas is a subject of current concern. Individual mode choice is one of the travel demand modeling basic steps that depends on the mode utility function. Port-Said (PS) city, as an Egyptian urban area, has a problem of increasing number of population using private modes including private car and taxi that caused peak road jam in the last few years. This paper aims at applying Logit calibration of advanced discrete choice models with several individual and mode attributes affecting the prediction of individual choice. The models investigate innovative transport systems like Bus Rapid Transit (BRT) as a hypothetical mode situation beside the regular modes of transport (car and taxi). The methodology provides data collection of PS transportation mode system and develops Multinomial Logit model (MNL), Nested Logit model (NL), and Mixed Logit model (MXL) using Visual-tm Software. The survey was formed by the Stated Preference (SP) technique conducted for individuals from all PS zones and the predictable travel mode choice behavior was analyzed. The results were briefly analyzed to demonstrate the three models. Finally, travel velocity and time budget sensitivity were calculated, for different income levels, as a result of the supposed policy.