Research Article
Analysis on The Decision-Making Characteristics of The Transportation Connection Modes Selection for Tourists in Railway Hubs During Short Holidays in The Post-Epidemic Era: Taking Chengdu East Railway Station as An Example
@INPROCEEDINGS{10.4108/eai.2-12-2022.2327961, author={Lan Chen and Hui Gan and Jinghong Xu and Liang Yun}, title={Analysis on The Decision-Making Characteristics of The Transportation Connection Modes Selection for Tourists in Railway Hubs During Short Holidays in The Post-Epidemic Era: Taking Chengdu East Railway Station as An Example}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={transportation connection; mode selection; decision-making characteristics; railway hub; post-epidemic; short holidays}, doi={10.4108/eai.2-12-2022.2327961} }- Lan Chen
Hui Gan
Jinghong Xu
Liang Yun
Year: 2023
Analysis on The Decision-Making Characteristics of The Transportation Connection Modes Selection for Tourists in Railway Hubs During Short Holidays in The Post-Epidemic Era: Taking Chengdu East Railway Station as An Example
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2327961
Abstract
The tourism industry is gradually recovering in the post-epidemic era, but the impact of the epidemic on tourists' choice of connection modes in transportation hubs remains to be studied. Based on the field investigation during the "May Day" period of 2022 at the railway passenger transport hub of Chengdu East Railway Station, this paper analyzed the characteristics and influencing factors of the transportation connection modes selection for tourists, so as to support the improvement of railway hub transportation services for short-term tourists in the post-epidemic era. We first obtained data on 1,062 passengers through a questionnaire survey, of which 236 were for tourism purposes, and then used statistical software to analyze. According to the data of these 236 tourists (including 137 departing passengers and 99 arriving passengers) we found: First, tourists were mainly young and low-income people, generally within three people and carrying a small amount of luggage, whose destinations or starting points were mainly in the central urban area.