Presenting the behavioral model of citizens in selection of trip vehicle with emphasis on how to go to work

Abstract

Understanding the factors that influence individual vehicle choice behavior will reveal changes in preferences and attitudes. These changes can provide insights into travel patterns, improve transportation planning, prepare for future infrastructure needs and services, and inform better design and implementation of sustainable and inclusive transportation. The purpose of this research is to provide a behavioral model of citizens in choosing a travel vehicle with an emphasis on how to go to work in Shiraz, Iran. The statistical method used in this research is the logit mathematical model. SPSS software was used to analyze the research results. Different hypothetical scenarios were investigated according to the final vehicle selection model and the possibility of choosing different travel vehicles in each of the hypothetical scenarios. The results of the comparison of logit models for all travel destinations showed that the behavior of Shiraz citizens in choosing a means of transportation is not nested. For this reason, the final model was chosen for business trips. The results obtained from the hypothetical scenarios of the business travel selection tool in Shiraz showed that if none of the demand management policies and the creation of high-speed buses are applied, the share of private cars is 38 %, the share of buses and subways is 32 %, the share of taxi travel is 30 %, and the share of walking will be 33 %. Also, social conditions and demographic characteristics do not have a significant effect on the choice of vehicle and travel behavior of citizens to the workplace.