Exploring factors associated with commute mode choice: An application of city-level general social survey data
By Joonho Ko, Sugie Lee, Miree Byun. Transport Policy, 2019
104 citations recorded by the source corpus.
Abstract Developing sustainable transportation systems in a city can be substantially assisted by promoting environmentally friendly transportation modes such as walking, cycling, and public transit rather than private cars. Strategies for promoting these desirable transportation modes can be effectively identified based on a sound understanding of how citizens choose a travel mode. In this study, we sought to enhance this understanding by exploring factors associated with commute mode choice utilizing data from a general social survey in Seoul, South Korea. Based on the data, parametric and non-parametric statistical models based on classification tree and multilevel logistic regression approaches, respectively, were developed as a way to capture influential factors associated with the mode choice decision. The models illustrate that commuters' socio-demographic characteristics such as income, occupation, gender, and residence duration tend to significantly influence mode choice. In addition, they showed that respondents' attitudes and behaviors, including the amount of time spent on the internet and self-assessed social status, can be strongly associated with mode choice. This study is also meaningful in that it demonstrates the potential applicability of general social survey data for investigating travel behavior considering various factors that are rarely included in general transportation surveys.
Subfields: Transportation
View Paper: https://www.semanticscholar.org/paper/2cf8ef929a9c173300e35c2736ca130b4b455045
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- Consumers’ Intention to Purchase Electric Vehicles: Influences of User Attitude and Perception (2021, background): “Studies have shown that the two approaches may be used together to provide a complete explanation of the causal relationships between response and explanatory factors [30,31].”