scholarly journals The Impact of High Speed Rail on Tourism Development: A Case Study of Japan

2016 ◽  
Vol 10 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Takeshi Kurihara ◽  
Lingling Wu
Keyword(s):  
High Speed ◽  
Great Influence ◽  
Tourism Development ◽  
Least Square ◽  
First Year ◽  
Tourism Demand ◽  
High Speed Rail ◽  
Tourist Behavior ◽  
The Impact

In order to clarify the impact of Shinkansen network extension on tourism development in Japan, this study investigates the change of tourism demand and tourist behavior in Tohoku and Kyushu Region by using statistical data collected by MLIT and JTA. The results suggest that tourism arrivals increased significantly in cities that were connected by the extended Shinkansen network. In addition, modal share of railway showed obvious increase as well. This paper also reviews the policies that have been adopted to promote tourism development by utilizing Shinkansen through a case study of Hirosaki and Ibusuki city. In order to clarify the impact of HSR and policy effort on tourism demand, Ordinary Least Square (OLS) regression analysis is conducted in this study. The model estimation result suggests that the shorter distant from HSR station will result in an increase of tourism demand to a certain destination. In addition, it indicates that the simultaneously operation of Shinkansen and scenic trains will significantly increase the tourism demand. However, such influence will decay over time. Specifically speaking, although it has great influence on tourism demand in the first year, such influence becomes insignificant in the second year.

Who Rides the High Speed Rail in the United States: The Acela Express Case Study

2010 ◽  
Author(s):  
Zhenhua Chen
Keyword(s):  
High Speed ◽  
The United States ◽  
External Factors ◽  
Least Square ◽  
High Speed Train ◽  
High Speed Rail ◽  
Rail Network ◽  
Policy Suggestions ◽  
Internal And External Factors

In this study, we focus on the Acela Express, and try to find out how selected internal and external factors affect the Acela Express’s ridership. A two-stage least square regression model is introduced in order to eliminate the endogeneity problem caused by price and ridership. Also the Cochrane-Orcutt Procedure is adopted to solve autocorrelation. The result shows that ticket price and train on-time performances, which are used to being thought as important factors affect ridership become insignificant, while other factors like employment of business and professional in the Northeast Corridor areas have higher influence on high speed train ridership. The broader objective of this research is to provide policy suggestions for building of an efficient high-speed rail network that can both be profitable and solve practical problems that the contemporary transportation system faces.

scholarly journals How Does High-Speed Rail Affect Tourism? A Case Study of the Capital Region of China

2019 ◽  
Vol 11 (2) ◽  
pp. 472 ◽  
Author(s):  
Ping Yin ◽  
Francesca Pagliara ◽  
Alan Wilson
Keyword(s):  
High Speed ◽  
Current Knowledge ◽  
Spatial Interaction ◽  
High Speed Rail ◽  
Capital Region ◽  
Tourism Management ◽  
Spatial Distribution Characteristics ◽  
The Future ◽  
The Impact

The objective of this study is to analyze the tourism spatial interaction that defines two scenarios, i.e., the actual one with the current high-speed rail (HSR) network, and the future one with an extension of the HSR network, considering as a case study the Capital region of China. The impact of HSR on the spatial distribution characteristics is investigated. The main outcome of this study is that the extension of the HSR network in the future scenario will significantly increase the total tourism spatial interaction and will reduce the spatial difference. What this paper adds to the current knowledge about HSR and tourism is that smaller cities, such as Tangshan, Zhangjiakou, and Chengde, connected via HSR to core cities will benefit the most from the HSR network’s operation. Those cities should take the HSR network as a development opportunity to enhance their attractiveness and strengthen their marketing to achieve sustainable tourism competitiveness. The study found that effects can also be registered on larger cities, but they are smaller. So, larger cities, such as Beijing and Tianjin, should reassess their attractiveness to the tourist market and take corresponding countermeasures. The findings of this study can be used by tourism management authorities to develop short-term and long-term plans.

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

2021 ◽  
Vol 13 (6) ◽  
pp. 3416
Author(s):  
Francesca Pagliara ◽  
Filomena Mauriello ◽  
Yin Ping
Keyword(s):  
High Speed ◽  
Regression Tree ◽  
Estimating Equation ◽  
Classification And Regression Tree ◽  
High Speed Rail ◽  
Parametric Classification ◽  
Interest In Research ◽  
The Impact ◽  
Non Parametric

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.

The impact of high-speed rail operations: A case study in Shanghai-Kunming line

2021 ◽  
pp. 1-7
Author(s):  
Cheng Zhang ◽  
Min Liu ◽  
Ping Wan ◽  
Junhua Guo
Keyword(s):  
High Speed ◽  
Point Of View ◽  
Adverse Impact ◽  
Jiangxi Province ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Peripheral Areas ◽  
Empirical Point ◽  
The Impact

High-speed railway is an indispensable part of the transportation system. The construction and opening of high-speed railway will contribute to the economic development of cities along the route, but it will also have an adverse impact on peripheral areas. The research of the article is mainly carried out from an empirical point of view, using comparative analysis, regression analysis and other methods to measure and quantitatively describe the impact of high-speed railways on urban and regional spatial development. The study found that the operation of the Shanghai-Kunming high-speed rail had a siphon effect on cities along the Jiangxi Province, leading to unbalanced regional development.

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