01472834

Component

Modeling commuters’ choice behavior in response to Transportation Demand Management (TDM) helps to predict the policies’ consequences. Although, research in the choice behavior has evolved to investigate preference heterogeneity in response to factors influencing their choice, none of them considered taste variation across commuters in response to multiple TDM policies. This paper investigates the presence of systematic preference heterogeneity across commuters’ in response to the TDM policies that can be explained by their socio-economic or commuting-related characteristics. The analysis is based on the results of a stated preferences survey developed through the design of experiments approach. Five policies includes increasing parking cost, increasing fuel cost, cordon pricing, transit time reduction, and transit access improvement are assessed in order to study their impact on commuters' consideration of six modes of transportation to travel to work. For the sake of assessing both systematic and random preference heterogeneity across car commuters, an extended form of Mixed Multinomial Logit (MMNL) model was developed for the 366 individuals who regularly commute to their workplace in the center of the city of Tehran, Iran as a developing country. In addition to a number of commuting and contextual variables, the model shows that the taste variations across commuters result in differences in effectiveness of increasing parking cost, transit time reduction, and transit access improvement policies. The analysis includes examining several distributions for random parameters to test the impacts of restricting distributions to allow only normality, confirming the potential to improve model fit with alternative distributions.

This paper was sponsored by TRB committee ABE50 Transportation Demand Management.

01470560

13-3509

English

17p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

References; Tables

Accessibility; Commuters; Large cities; Multinomial logits; Parking fees; Public transit; Socioeconomic factors; Stated preferences; Surveys; Transportation policy; Travel demand management; Travel time

Heterogeneity (Models)

Tehran (Iran)

Highways; Passenger Transportation; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2013 Paper #13-3509

TRIS, TRB, ATRI

Feb 5 2013 12:42PM