Influence of Travel Information on Choices of Inter-city Travel Modes: A Case Study of Shanghai-Nanjing Transport Corridor
- DOI
- 10.2991/seeie-19.2019.64How to use a DOI?
- Keywords
- transport corridor; inter-city travel; information service; travel mode; Multinominal Logit Model (MNL) Introduction
- Abstract
Multimodal travel information is expected to affect people’s choices of travel modes. The objective of this research is to identify the impacts of travel information, specifically for travelers traveling between cities along Shanghai-Nanjing transport corridor in Yangtze River Delta. Firstly, data gleaned from a questionnaire survey, which investigated information preferences when travelling between cities along the Shanghai-Nanjing high-speed railway, is statistically analyzed. The analysis explores correlations between travelers' attributes, typical travel modes and information requirements at different journey stages. Travelers’ occupations and travel purposes turns out to be significantly relevant to traveler information. Secondly, a Multinominal Logit (MNL) model is established and calibrated by the multi-log logistic in SPSS. Thus the influence of travel information on travel-mode choices can be investigated with constraints of travelers’ socio-economic attributes, travel attributes, and journey stages. Finally, the results show that travelers with various occupations and travel purposes have varying needs for multimodal travel information, and inter-city travel mode choices can be impacted by multimodal travel information at different levels.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lijuan Shi AU - Xiangyu Li PY - 2019/05 DA - 2019/05 TI - Influence of Travel Information on Choices of Inter-city Travel Modes: A Case Study of Shanghai-Nanjing Transport Corridor BT - Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019) PB - Atlantis Press SP - 277 EP - 280 SN - 2352-5401 UR - https://doi.org/10.2991/seeie-19.2019.64 DO - 10.2991/seeie-19.2019.64 ID - Shi2019/05 ER -