scholarly journals The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China

2021 ◽  
Vol 10 (11) ◽  
pp. 776
Author(s):  
Sanwei He ◽  
Lei Mei ◽  
Lei Wang
Keyword(s):  
Spatial Structure ◽  
High Speed ◽  
Northeastern China ◽  
Policy Implications ◽  
Degree Centrality ◽  
Economic Networks ◽  
High Speed Rail ◽  
Spatial Error ◽  
The Impact ◽  
Economic Linkages

Drawing on 185 cities in the northeastern region of China, this paper improves the radiation model by incorporating the accessibility index to characterize the asymmetric process of economic linkages before HSR in 2007 and after HSR in 2016. Then social network analysis is utilized to examine the impact of HSR on the spatial structure of economic networks, including nodal centrality and community structures. Finally, spatial econometric models are employed to explore the driving factors of nodal centrality in economic networks and some policy implications are proposed. The major findings of this paper are the following. First, HSR services can weaken the core-peripheral inequality of economic linkages and a corridor economy is evident in northeastern China. Second, HSR services have significantly improved the out-degree centrality of prefecture-level cities but have slightly decreased the in-degree centrality of Liaoning. Third, there was a slight decline of coherence in the economic network after the construction of HSR and the within-modular connections were strengthened by HSR. Four, the spatial error model (SEM) is more desirable for explaining the distribution of in-degree centrality. GDP, fixed asset investment, education, population, and fiscal expenditure are important contributors to the in-degree centrality in economic networks. These findings give significant insights into city system planning, integrated transport and land use development, formulating regional poles and the coordinated development across administrative boundaries in northeastern China.

scholarly journals Multilevel spatial impact analysis of high-speed rail and station placement: A short-term empirical study of the Taiwan HSR

2020 ◽  
Vol 13 (1) ◽  
pp. 317-341
Author(s):  
Yu-Hsin Tsai ◽  
Jhong-yun Guan ◽  
Yi-hsin Chung
Keyword(s):  
Empirical Study ◽  
Rural Areas ◽  
High Speed ◽  
Impact Analysis ◽  
Local Level ◽  
Influential Factors ◽  
Policy Implications ◽  
High Speed Rail ◽  
Wide Range ◽  
The Impact

Understanding the impact of high-speed rail (HSR) services on spatial distributions of population and employment is important for planning and policy concerning HSR station location as well as a wide range of complementary spatial, transportation, and urban planning initiatives. Previous research, however, has yielded mixed results into the extent of this impact and a number of influential factors rarely have been controlled for during assessment. This study aims to address this gap by controlling for socioeconomic and transportation characteristics in evaluating the spatial impacts of HSR (including station placement) at multiple spatial levels to assess overall impact across metropolitan areas. The Taiwan HSR is used for this empirical study. Research methods include descriptive statistics, multilevel analysis, and multiple regression analysis. Findings conclude that HSR-based towns, on average, may experience growing population and employment, but HSR-based counties are likely to experience relatively less growth of employment in the tertiary sector. HSR stations located in urban or suburban settings may have a more significant spatial impact. This differential in spatial change may be attributed to a high concentration of some subsectors and transportation services in the study area. Policy implications include adopting policies that encourage higher density at the local level, considering rural areas as a last choice for the installation of new HSR stations, and the use of HSR station placement to initiate brownfield urban regeneration in the urban core.

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.

scholarly journals A Mixed Integer Linear Programming Method for Simultaneous Multi-Periodic Train Timetabling and Routing on a High-Speed Rail Network

2020 ◽  
Vol 12 (3) ◽  
pp. 1131
Author(s):  
Wenliang Zhou ◽  
Xiaorong You ◽  
Wenzhuang Fan
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
High Speed ◽  
Programming Model ◽  
Mixed Integer ◽  
High Speed Rail ◽  
Train Timetabling ◽  
Train Timetable ◽  
The Impact

To avoid conflicts among trains at stations and provide passengers with a periodic train timetable to improve service level, this paper mainly focuses on the problem of multi-periodic train timetabling and routing by optimizing the routes of trains at stations and their entering time and leaving time on each chosen arrival–departure track at each visited station. Based on the constructed directed graph, including unidirectional and bidirectional tracks at stations and in sections, a mixed integer linear programming model with the goal of minimizing the total travel time of trains is formulated. Then, a strategy is introduced to reduce the number of constraints for improving the solved efficiency of the model. Finally, the performance, stability and practicability of the proposed method, as well as the impact of some main factors on the model are analyzed by numerous instances on both a constructed railway network and Guang-Zhu inter-city railway; they are solved using the commercial solver WebSphere ILOG CPLEX (International Business Machines Corporation, New York, NY, USA). Experimental results show that integrating multi-periodic train timetabling and routing can be conducive to improving the quality of a train timetable. Hence, good economic and social benefits for high-speed rail can be achieved, thus, further contributing to the sustained development of both high-speed railway systems and society.

The impact of high-speed rail on civil aviation in China

2019 ◽  
Vol 74 ◽  
pp. 187-200 ◽  
Author(s):  
Hongchang Li ◽  
Jack Strauss ◽  
Liu Lu
Keyword(s):  
High Speed ◽  
Civil Aviation ◽  
High Speed Rail ◽  
The Impact

scholarly journals How Does the Spatial Structure of High-Speed Rail Station Areas Evolve? A Case Study of Zhengzhou East Railway Station, China

2021 ◽  
Vol 11 (23) ◽  
pp. 11132
Author(s):  
Xiaomin Wang ◽  
Jingyu Liu ◽  
Wenxin Zhang
Keyword(s):  
Spatial Structure ◽  
High Speed ◽  
Rapid Development ◽  
Economic Activities ◽  
Land Rent ◽  
High Speed Rail ◽  
Production Factors ◽  
Market Factors ◽  
And Diffusion

The rapid development of high-speed rail (HSR) and station areas has shortened the spatial and temporal distances among cities, improved the accessibility of cities, and affected the spatial agglomeration and diffusion of populations and of social and economic activities. This has led to spatial reconfiguration of production factors within cities, which has the potential to drive the reconstruction of urban spatial structures. Based on POI and land-use data, this paper defines the spatial scope of the HSR station area and explores the characteristics and influencing factors of its spatial structure from the perspective of industry. The study area i is set at 2000 m. Since the opening of the HSR, the industrial distribution has exhibited a significant circular, multi-core, and axial belt spatial structure. The spatial structure of each sub-industry is different. On the whole, internal and external transport and agglomeration economies have significant impacts on the industrial spatial distribution, and land rent has gradually decreased in importance with the development of HSR station areas. The intensity of the effects of different factors varies among different industries. The mechanisms by which the spatial structure of the station area is formed are discussed and include location accessibility, micro-market factors, node station attributes, the availability of a sufficient amount of undeveloped land, the characteristics and needs of HSR passengers, and policies and systems.

scholarly journals Factors Determining the Success of HSR Building Projects

2020 ◽  
Vol 6 (2) ◽  
pp. 5-19
Author(s):  
Elena M. Volkova
Keyword(s):  
Construction Projects ◽  
High Speed ◽  
Success Factors ◽  
Economic Effects ◽  
Scientific Result ◽  
High Speed Rail ◽  
Building Projects ◽  
The World ◽  
The Russian Federation ◽  
The Impact

The article reviews the world experience in the construction and operation of high-speed railways in terms of factors that determine the success or failure of such projects. Since the construction of HSR is often considered as a part of national projects on a broader scale, it is proposed to use as criteria for success not only commercial indicators, but also various socio-economic effects arising from their implementation. The author classifies externalities that reflect the impact of HSR on the development of regions and cities and presents the results of foreign research on their quantitative and qualitative analysis. Special attention is paid to the experience of China, since this country significantly differs from the rest of the world in terms of development of high-speed rail traffic. In this regard, the largest amount of representative data that allows us to identify the success factors of HSR projects can be found for Chinese projects. The main scientific result of this article is a generalization of the existing experience of HSR construction projects and justification of the prospects for implementing such projects in the Russian Federation.

Sign in / Sign up

Export Citation Format

Share Document