Citation

Li J, Chen D, Li X, Godding L. Travel Behav. Soc. 2018; 10: 53-59.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.tbs.2017.11.001

PMID

unavailable

Abstract

The current study aims to explore the association between individual characteristics and traveler's attitudes toward weather information. A stated adaptation survey was conducted to collect traveler's attitudes, and hypotheses of dependence of travel attitudes on individual characteristics were formally tested. 408 samples collected in 4 businesses or service centers in urban areas of Nanjing, China, were employed in analyses. Based on the aggregated individual characteristics by factor analysis, various independence tests and strength of association analyses were conducted both on disaggregated and aggregated levels.

RESULTS confirmed that the individual characteristics mattered and that the likelihood of travelers changing their travel behaviors (or willingness to change their travel behaviors) in response to weather information they acquired was highly dependent on some of individual characteristics. For example, the attitude of changing commuting departure time indicates significant dependence on gender, age, personal income, car and non-motor ownership, while attitude of changing shopping/leisure departure time depends on age and transit accessibility. Additionally, education has a larger impact on the attitude of changing home-based mode choices than gender and age. On aggregated level, non-motor ownership and transit availability show significant effects on the attitudes toward shopping/leisure departure time change and destination change. This paper contributes to the literature by looking at the underlying association between the changes in travelers' attitudes and individual characteristics by means of a multifaceted stated adaptation approach and combined analysis method, and by proposing a deeper understanding of traveler's characteristics when modeling travel behavior (attitudes) in inclement weather conditions.

Language: en

Keywords

Association strength analysis; Independence test; Individual characteristics; Traveler’s attitudes; Weather information