|M.Sc Student||Weiss Anat|
|Subject||Modeling the Generation of Shopping Trips and their|
Integration in the Travel Pattern
|Department||Department of Civil and Environmental Engineering||Supervisors||Professor Yoram Shiftan|
|Professor Shlomo Bekhor|
The importance of trip chaining analysis and especially the chaining of shopping trips in a daily activity pattern has grown significantly over the last few decades and has captured the attention of policy makers. In order to investigate the generation of shopping trips, there is a need to develop behavioral models that can better explain how people actually make choices.
The model looks at the daily level because of its importance in deciding if to travel to shop and how to combine it in a chain of activities. The daily activity chain consists of mandatory trips and discretionary trips. Mandatory trips are usually observed more in peak hours and have more homogenous patterns copmared to discretionary trips, which are performed all over the day and are more flexible to changes and therefore are more complex. The purpose of this research is to identify significant variables influencing the generation of travel for shopping. The explanatory variables of these models are socioeconomics and chain`s characteristics. In this research we modelled shopping trips using discrete choice models: multinomial and ordered logit models were tested. These models relate a utility value for each alternative and The decision maker chooses the alternative that yields the highest utility for him. The ordered logit considers the natural order of choice alternatives The results of the multinomial and ordered logit models are compared and showed similar results. The model is an improvement over the traditional four steps model.