High-speed Rail Network and Changing Industrial Dynamics in Chinese Regions

2019 ◽  
Vol 42 (5-6) ◽  
pp. 495-518 ◽  
Author(s):  
Shengjun Zhu ◽  
Chong Wang ◽  
Canfei He
Keyword(s):  
High Speed ◽  
Knowledge Spillovers ◽  
Transport Infrastructure ◽  
Transport Cost ◽  
Industrial Dynamics ◽  
High Speed Rail ◽  
Network Characteristics ◽  
Rail Network ◽  
Path Dependent ◽  
Industry Creation

High-speed railway (HSR) network can significantly reduce the transport cost of people and facilitate interregional knowledge spillovers. It may thus affect regional industrial dynamics. By employing the industrial relatedness indicator, this article shows that regional industrial dynamics is path dependent in China. It further adopts several classical accessibility indicators to capture the network characteristics of transport infrastructure and the accessibility of Chinese cities in the HSR network. In response to the endogeneity issue, we design an instrumental variable based on historic transport network. Another econometric strategy is to include only two groups of cities in the sample: cities with existing HSR stations and cities with planned HSR stations. The empirical results suggest that high accessibility in the HSR network not only pushes forward new industry creation but also enables regions to be more pathbreaking and diversify into less related industries.

Inter-city transport infrastructure and intra-city housing markets: Estimating the redistribution effect of high-speed rail in Shenzhen, China

Urban Studies ◽  
2021 ◽  
pp. 004209802110178 ◽  
Author(s):  
Zheng Chang ◽  
Mi Diao
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Local Effect ◽  
Transport Infrastructure ◽  
Network Effect ◽  
Housing Values ◽  
High Speed Rail ◽  
The City ◽  
Redistribution Effect ◽  
Metro Network

This study analyses the changes in intra-city housing values in response to improved inter-city connection brought by high-speed rail (HSR), using the opening of the Hangzhou–Fuzhou–Shenzhen Passenger Dedicated Line (HFSL) in Shenzhen, China, as an example. The opening of the HFSL and its integration into the local metro network at Shenzhen North Station provide exogenous intra-city variations in access to the surrounding economic mass. With a difference-in-differences approach, we find that the HFSL showed a negative local effect as housing values declined by 11.5%–13.3% in the proximity of Shenzhen North Station relative to areas further from the station after the opening, possibly due to the negative externalities of the HFSL. The HFSL effect can spread along the metro network and lead to, on average, a 7% appreciation of housing values around metro stations (network effect). The direction and strength of the network effect vary by metro travel time between Shenzhen North Station and metro stations. Housing values decreased by 7.7% around metro stations within 5–15 minutes of metro travel time but increased by 63.6%, 16.6% and 29.2% around metro stations within 15–25, 25–35 and 35–45 minutes of metro travel time to Shenzhen North Station, respectively. The HFSL effect on housing values diminishes when the rail travel time is above 45 minutes. We interpret these findings as evidence of the redistribution effect in the city related to HSR connection.

scholarly journals Infrastructure costs and benefits of European high-speed rail

2021 ◽  
Vol 1 (2) ◽  
pp. 47-53
Author(s):  
Nedžad Branković ◽  
Aida Kalem
Keyword(s):  
High Speed ◽  
New Technologies ◽  
Operational Parameters ◽  
Negative Effects ◽  
Railway Network ◽  
High Speed Rail ◽  
Rail Network ◽  
High Speed Trains ◽  
Conventional Rail ◽  
Ecologically Sustainable

The development of new technologies has significantly influenced railways modernization and has caused the appearance of high-speed rail which represent a safe, comfortable and ecologically sustainable way of transportation. The high-speed rail present a big step in a relation to conventional railways, where the biggest difference is speed which even entails a change of other organizational and operational parameters, better utilization of trains, higher performance of manpower and better service to users.  That is visible in many cities around the world where high-speed trains are used by billions of users. In the EU there is no unique high-speed railway network, besides that in many EU member countries various operational models are applied. The future of the high-speed railways market depends on political, economical and technical factors and challenges as high infrastructure costs, various rates of return on investment and the negative effects of economic crises. The main objective of the paper is to analyze infrastucture costs of high-speed rail in Europe and benefits such us  time savings, higher reliability, comfort, safety, reducing pollution and the release of capacity in the conventional rail network, roads and airport infrastructure.

Analyzing Intercity Modal Choice and Competition Between High Speed Rail (HSR) and Other Transport Modes in Indian Context

2016 ◽  
pp. 146-160
Author(s):  
Ashish Verma ◽  
Varun Raturi
Keyword(s):  
High Speed ◽  
Mode Choice ◽  
Transport Infrastructure ◽  
Infrastructure Investment ◽  
Theoretic Approach ◽  
Choice Modelling ◽  
Choice Behaviour ◽  
High Speed Rail ◽  
Game Theoretic ◽  
Game Theoretic Approach

In this study, a theoretical framework is developed in order to assess the viability of transport infrastructure investment in the form of High Speed Rail (HSR) by assessing, the mode choice behaviour of the passengers and the strategies of the operators, in the hypothetical scenario. Discrete choice modelling (DCM) integrated with a game theoretic approach is used to model this dynamic market scenario. DCM is incorporated to predict the mode choice behaviour of the passengers in the new scenario and the change in the existing market equilibrium and strategies of the operators due to the entry of the new mode is analysed using the game theoretic approach. The outcome of this market game will describe the strategies for operators corresponding to Nash equilibrium. In conclusion, the impact of introduction of HSR is assessed in terms of social welfare by analysing the mode choice behaviour and strategic decision making of the operators, thus reflecting on the economic viability of the transport infrastructure investment.

scholarly journals Schedule-Based Passenger Assignment for High-Speed Rail Networks considering the Ticket-Booking Process

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Huanyin Su ◽  
Feng Shi ◽  
Guangming Xu ◽  
Jin Qin ◽  
Xinghua Shan
Keyword(s):  
High Speed ◽  
Continuous Process ◽  
Operating Efficiency ◽  
High Speed Rail ◽  
Rail Network ◽  
Assignment Method ◽  
Rail Systems ◽  
Improvement Measures ◽  
Passenger Assignment ◽  
Partition Interval

This paper proposes a schedule-based passenger assignment method for high-speed rail networks considering the ticket-booking process. Passengers book tickets to reserve seats during the presale period in high-speed rail systems and passengers on trains are determined during the ticket-booking process. The ticket-booking process is modeled as a continuous and deterministic predecision process. A solution algorithm is designed using the discretization of the continuous process by partitioning the ticket-booking time and the optimal paths remain constant in any partition interval. Finally, an application to the Chinese high-speed rail network is presented. A comparison of the numerical results with the reality is conducted to validate the efficiency and precision of the method and algorithm. Based on the results, the operating efficiency of the current train schedule is evaluated and some specific improvement measures are proposed.

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.

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