Correlation Analysis of Waterway Passenger Transport and Tourism Development in Beihai City

Xiaolei Liu (), Xiaofeng Li (), Wenpeng Fei (), Qilong Huang () and Yin Li ()
Additional contact information
Xiaolei Liu: China Academy of Transportation Science
Xiaofeng Li: China Academy of Transportation Science
Wenpeng Fei: China Academy of Transportation Science
Qilong Huang: China Academy of Transportation Science
Yin Li: China Academy of Transportation Science

A chapter in LISS 2020, 2021, pp 747-763 from Springer

Abstract: Abstract Along with China to build a well-off society in an all-round way, to further improve people’s requirement for better life, water transportation as a traditional way of passenger transport, Its transportation function has gradually transformed into both transportation and tourism functions. On the one hand, the acceleration of tourism rise has inspired passenger routes vitality, transform and upgrade the waterway passenger transport on the other hand also further impetus to the development of the tourism industry. This paper selects waterway transportation and tourism in Beihai city as the object, analyzes their interactive development characteristics, and establishes VAR model to empirically analyze the intrinsic correlation between them. and Judge the trend of the development of waterway passenger transport and tourism interaction, put forward the corresponding development countermeasures on this basis, to provide effective policy support for the development of waterway passenger transport in Beihai City.

Keywords: Waterway passenger transport; Tourism; Correlation analysis (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-4359-7_52

Ordering information: This item can be ordered from
http://www.springer.com/9789813343597

DOI: 10.1007/978-981-33-4359-7_52

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().