An Empirical Study on HSR Demand Through Tourism Variables

DOI

10.2991/icmess-18.2018.316How to use a DOI?

Keywords

MCDA; Tourism; HSR; City pair; GIS

Abstract

The existence of HSR has gradually become an important indicator to judge the degree of development of a city. Under the conditions of limited budget and resources, how to choose the best suitable city? In order to answer these questions, this paper studied the impact of tourism on HSR, and sorted out the city pairs using multi-criteria decision analysis method, the ranking model and geographic information system technology. This paper considered the aspects of transportation, population, economy, location, distance, congestion and tourism, with the data of 36 Chinese cities above vice provincial level. The results show that it is helpful to effectively measure the impact of tourism on the high speed rail potential demand by adding a tourism variable in the ranking model. Of course, the role of tourism cannot be generalized, but it depends on the importance of tourism in the economic development.

Copyright

© 2018, 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/).

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TY  - CONF
AU  - Zenghui Duan
AU  - Erda Wang
PY  - 2018/06
DA  - 2018/06
TI  - An Empirical Study on HSR Demand Through Tourism Variables
BT  - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
PB  - Atlantis Press
SP  - 1440
EP  - 1445
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-18.2018.316
DO  - 10.2991/icmess-18.2018.316
ID  - Duan2018/06
ER  -