01555471

Component

Urbanization is always associated with the process of residential relocation, which may result in significant changes in residents’ travel behavior. This study proposes a multi-agent-based simulation model to explore the effect of residential relocation resulting from urban expansion on travel behavior and urban transportation in terms of both work-related and discretionary travel in China. The simulation environment for the model is developed based on Tongling City, China. Six scenarios are used to identify how the residents in an urban central area and in a suburban area are affected by different strategies, such as higher land diversity in suburban areas, a decreased speed of growth in the number of private cars and greater public transit accessibility. The simulation results indicate that residential relocation driven by urban expansion leads to longer daily trips and more motorized trips. From a policy perspective, the findings suggest that strategies to reduce travel demand and trip distances after residential relocation will perform better in improving traffic than other strategies. In addition, a combination of various strategies is preferable to using one strategy alone if planners want to affect the travel behavior of more people.

This paper was sponsored by TRB committee ADB10 Traveler Behavior and Values.

01550057

15-1984

English

21p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Residential location; Suburbs; Travel behavior; Travel demand; Urban transportation; Urbanization

Relocation

Tongling (China)

Planning and Forecasting; Society; Transportation (General); I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-1984

TRIS, TRB, ATRI

Dec 30 2014 12:43PM