2014•Journal of Transportation Systems Engineering and Information TechnologyRequires access

Commuters' Trip-chain and Mode Choice Relationship

Wang Xiao-ku

Abstract

A stratified sampling survey is conducted to collect data in Central Business District of Dalian city to analyze the relationships between commuter's trip-chain types and trip mode choices. With a cross analysis of this set of data, a simultaneous Logit model is used to examine the relationships. In investigating the relationships between trip-chain types and trip mode choices, the impact from monthly-income is also considered in this study. The results indicate that the relationships among collected data set are statistically significant. One crucial finding is that commuters' personal attributes and family attributes have prominent effects on trip mode choice, trip-chain type and their relationships. Due to the limitation of public transportation service level, the commuters who drive cars usually generate complex trip chains, especially those with high-incomes.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Transport engineering, Mode choice, Mode (computer interface), Trip generation, Logit, Public transport, Travel behavior, Set (abstract data type)