Investigating the impact of high-speed rail equipment visualization on mode choice models: Case study in central Texas

2017 ◽  
Vol 5 (4) ◽  
pp. 560-572 ◽  
Author(s):  
Benjamin R. Sperry ◽  
Mark Burris ◽  
Kyle M. Woosnam
Keyword(s):  
High Speed ◽  
Mode Choice ◽  
Choice Models ◽  
High Speed Rail ◽  
Central Texas ◽  
The Impact

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.

Parsimonious Modeling and Uncertainty Quantification for Transportation Systems Planning Applied to California High-Speed Rail

2012 ◽  
Vol 2266 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Quentin Noreiga ◽  
Mark McDonald
Keyword(s):  
Uncertainty Quantification ◽  
High Speed ◽  
Travel Demand ◽  
Mode Choice ◽  
Demand Model ◽  
Parameter Uncertainties ◽  
Main Mode ◽  
High Speed Rail ◽  
The Impact ◽  
Travel Demand Model

This paper presents a parsimonious travel demand model (PTDM) derived from a proprietary parent travel demand model developed by Cambridge Systematics (CS) for the California high-speed rail system. The purpose of the PTDM is to reduce computational expense for model simulations, optimization and sensitivity analyses, and other repetitive analyses. The PTDM is used to quantify the significance of parameter uncertainties with the use of mean value first-order second moment methods for uncertainty quantification and sensitivity analysis. The PTDM changes the model resolution of the parent travel demand model from a traffic analysis zone to a county-level analysis. The three-step model contains trip frequency, destination choice, and main mode choice models and is calibrated to match the results of the CS model. The main mode choice model predicts primary mode choice results for car, commercial air, conventional rail, and high-speed rail. The PTDM uses data and models similar to parent models to show how uncertainty in travel demand model predictions can be quantified. This paper does not attempt to assess the reliability of parent model forecasts, and the results should not be used to evaluate uncertainty in the California High-Speed Rail Authority's rider ship and revenue forecasts. However, the uncertainty quantification methodology presented here, when applied to the CS model, can be used to quantify the impact of parameter uncertainty on the forecast results.

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.

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.

The Impact of High-Speed Rail on the Spatial Structure of Chinese Urban Agglomerations

2020 ◽  
Vol 46 (3) ◽  
pp. 379-397
Author(s):  
Chunyang Wang
Keyword(s):  
High Speed ◽  
River Delta ◽  
City Size ◽  
High Speed Rail ◽  
Local Conditions ◽  
Urban Agglomerations ◽  
Large Cities ◽  
Spatial Systems ◽  
Economic Concentration ◽  
The Impact

This paper measures the spatial evolution of urban agglomerations to understand be er the impact of high-speed rail (HSR) construction, based on panel data from fi ve major urban agglomerations in China for the period 2004–2015. It is found that there are signi ficant regional diff erences of HSR impacts. The construction of HSR has promoted population and economic diff usion in two advanced urban agglomerations, namely the Yang e River Delta and Pearl River Delta, while promoting population and economic concentration in two relatively less advanced urban agglomerations, e.g. the middle reaches of the Yang e River and Chengdu–Chongqing. In terms of city size, HSR promotes the economic proliferation of large cities and the economic concentration of small and medium-sized cities along its routes. HSR networking has provided a new impetus for restructuring urban spatial systems. Every region should optimize the industrial division with strategic functions of urban agglomeration according to local conditions and accelerate the construction of inter-city intra-regional transport network to maximize the eff ects of high-speed rail across a large regional territory.

scholarly journals Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 303
Author(s):  
Xinhai Lu ◽  
Yifeng Tang ◽  
Shangan Ke
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
High Speed ◽  
Urban Land ◽  
Urban Land Use ◽  
Western China ◽  
High Speed Rail ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Impact

The construction and operation of high-speed rail (HSR) has become an important policy for China to achieve efficiency and fairness and promote high-quality economic growth. HSR promotes the flow of production factors such as labor and capital and affects economic growth, and may further affect urban land use efficiency (ULUE). To explore the impact of HSR on ULUE, this paper uses panel data of 284 cities in China from 2005 to 2018, and constructs Propensity Score Matching-Differences in Differences model to evaluate the effect of HSR on ULUE. The result of entire China demonstrates that the HSR could significantly improves the ULUE. Meanwhile, this paper also considers the heterogeneity of results caused by geographic location, urban levels and scales. It demonstrates that the HSR has a significantly positive effect on ULUE of Eastern, Central China, and large-sized cities. However, in Western China, in medium-sized, and small-sized cities, the impact of HSR on ULUE is not significant. This paper concludes that construction and operation of HSR should be linked to urban development planning and land use planning. Meanwhile, the cities with different geographical locations and scales should take advantage of HSR to improve ULUE and promote urban coordinated development.

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