Analyzing the Impact of High-Speed Rail on Tourism with Parametric and Non-Parametric Methods: The Case Study of China

被引：4
|
作者：
Pagliara, Francesca [1 ]
Mauriello, Filomena [1 ]
Ping, Yin [2 ]
机构：
[1] Univ Naples Federico II, Dept Civil Architectural & Environm Engn, I-80125 Naples, Italy
[2] Beijing Jiaotong Univ, Sch Econ & Management, Dept Tourism Management, Beijing 100044, Peoples R China
来源：
SUSTAINABILITY | 2021年 / 13卷 / 06期
关键词：
high-speed rail; tourism market; generalized estimating equation; classification and regression tree; Chinese provinces; ACCESSIBILITY; NETWORK;
D O I：
10.3390/su13063416
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
High-speed rail (HSR) and tourism are closely related activities since improved mobility is perceived to facilitate tourist behavioral changes. The interest in research is very high and this contribution tries to provide an insight into this topic by making a comparison between the estimation of the parametric Generalized Estimating Equation (GEE) approaches with the non-parametric Classification and Regression Tree (CART). A dataset containing information both on tourism and transport for thirty Chinese provinces, during the 2001-2017 period, has been collected. The finding of this paper shows that the presence of HSR has value in the explanation of tourist arrivals.
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页数：10
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