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Title:

An Exploration of the Relationship between Travel Mode Choice and Trip Chain Pattern Evidence from Commuters' Multi-Day Trips in Shanghai, China

Accession Number:

01764245

Record Type:

Component

Abstract:

Effective Transportation Demand Management (TDM) strategies depend on the accuracy of forecasting in travel demand. Research on joint choice behavior of travel mode choice and trip chain pattern as well as their relationship is helpful for travel demand forecast. However, previous studies believed commuting trips remained unchanged, and did not consider the dynamic changes of multi-day commuting trips. This paper proposes two Nested Logit (NL) models with different structures (trip chain above travel mode structure and travel mode above trip chain structure) to investigate joint choice behavior using multi-day travel data from Shanghai, China. Based on the best structure, Monte Carlo (MC) method is used to simulate the switch of trip chain and travel mode under possible policies changes. The authors arrive at conclusions: (1) the nesting structure of trip chain above travel mode is the best, which means trip chain pattern decision precedes travel mode choice; (2) decrease in car ownership makes commuters switch from cars to public transit and increase in bicycle ownership makes commuters switch from public transit to bicycles; (3) complex trip chains are more dependent on cars and simple trip chains are more dependent on public transit; (4) decrease in car ownership and increase in bicycle may have a mutually restrictive relationship. These findings are beneficial to implement TDM strategies to develop sustainable transportation systems and optimize urban trip structure.

Supplemental Notes:

This paper was sponsored by TRB committee AEP30 Standing Committee on Traveler Behavior and Values.

Report/Paper Numbers:

TRBAM-21-00424

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Huang, Yuqiao
Gao, Linjie
Ni, Anning
Liu, Xiaoning

Pagination:

20p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Web

Features:

Figures; References; Tables

Geographic Terms:

Shanghai (China)

Subject Areas:

Data and Information Technology; Highways; Pedestrians and Bicyclists; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-00424

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:23AM