Research on spatial planning evaluation of Beijing Shanghai high speed railway station based on node-place model

2021 ◽  
Vol 40 (1) ◽  
pp. 733-743
Author(s):  
Wangyang Gui ◽  
Xu Zhang ◽  
Ai Wang

The construction of high-speed rails is regarded as a major opportunity for urban development by local governments in China, so various grand development plans are actively formulated to promote urban economic development. In this paper, the development of station space is evaluated empirically based on the calculated node and place values of 24 high-speed rail stations along the Beijing-Shanghai line and Bertolini’s “node-place” model. The results show that: (1) The 24 stations along the Beijing-Shanghai line have different development scale, which mostly act as sub-centers of the city, where the real estate industry, modern service industry and cultural industry are dominated in station space planning. Moreover, local governments are optimistic about the accelerant effect of high-speed rail stations whose functional configuration along the line is relatively repeated, because all 24 stations are basically set with business centers. (2) The size of cities along the Beijing-Shanghai line is related to the node value, the higher the urban function level, the greater the node value, with great differences among cities. The node value of big cities is far higher than that of small and medium-sized cities, hence there are node-oriented station areas in big cities and place-oriented ones in middle-sized and small cities. However, there is no direct relationship between the urban function level of stations along the line and the value of urban places. In some small and medium-sized cities, the planning and development intensity and scale of station areas even exceed that of big cities. (3) Only Wuxi station and Nanjing station are in a balanced development state in the space planning of railway stations along the Beijing-Shanghai line. Therefore, the risk of long-term development of station area should be considered in the planning, and reasonable measures should be formulated to promote the sustainable development of station area, so as to form the overall development of Station City.

2020 ◽  
Vol 12 (7) ◽  
pp. 2763
Author(s):  
Yu Chen ◽  
Yuandi Wang ◽  
Ruifeng Hu

Haze pollution impacts human health, as well as the competitive capabilities of firms and local economic development. Considerable attention has been given to the study of mechanisms for reducing haze pollution, but few studies have investigated the effect of city-to-city transportation infrastructures on environmental issues based on an institutional perspective. To address this research gap, this study advances our understanding by assessing the effect of city–to–city transportation on haze pollution caused by the operation of high-speed rail, which triggers the rapid flow of individuals and information, improves information transparency, as well as imposes institutional pressure on local governments and firms to reduce haze pollution. To further verify the underlying mechanisms, we tested the development of hard infrastructure (information communication technology) and soft infrastructure (market development level), which represent two conditions for which the mechanism is likely to be critical. We tested our hypotheses using a sample of 288 prefecture-level cities in China during the period from 2005 to 2016. The empirical results indicate that the operation of high-speed rail can reduce haze pollution by 17% on average.


2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Yi-Hsin Lin ◽  
Biling Shi ◽  
Po-Han Chen ◽  
Zhao Xu ◽  
Huimin Liu

With the planning and progress of the construction of the trans-Eurasian high-speed rail (HSR) network, it becomes an important issue for Chinese contractors to enter the European HSR market. Facing the world’s most competitive contractors and their high technology levels, Chinese contractors will need to know their advantages and disadvantages, so as to make necessary improvements. In this study, contractors for HSR are divided into two groups: construction contractors and rail equipment suppliers. In order to evaluate the competitiveness of HSR contractors, a Grey-BPNN model that combines the grey relational analysis and backpropagation neural network (BPNN) is proposed. The Grey-BPNN model is expected to analyze the overall competitiveness of Chinese contractors in the European HSR market and provide informative decision support for them. The study results show the following: (1) in the field of HSR construction, the competitiveness gap between the top-tier Chinese contractors and the most competitive international contractors is small. Chinese contractors’ competitive advantages lie in medium- and low-technology-level projects, with a strong development potential. However, they highly depend on Chinese domestic market and lack in intangible resources, like management ability and market development ability; (2) for rail equipment suppliers, China Railway Rolling Stock Corporation (CRRC) ranks among the top-tier leaders of the international market. CRRC’s greatest competitor in the European HSR market is Siemens, and CRRC is much more competitive than others in the sustainable development capability. However, CRRC needs to increase the quantity of patents and Research and Development (R&D) expenditures in transportation. As a weak transportation patent holder, CRRC has a potential risk of getting intellectual property litigations in the European HSR market.


2019 ◽  
Vol 11 (7) ◽  
pp. 2141
Author(s):  
Xueqiao Yu ◽  
Maoxiang Lang ◽  
Wenhui Zhang ◽  
Shiqi Li ◽  
Mingyue Zhang ◽  
...  

The rapid and stable development of China’s economy has driven the increasing demand for express transportation. Based on network operation, China Railway Corporation of High-speed Railway launched high-speed rail products, which have attracted wide attention from all walks of life. With the application of high-speed express trains, the market structure of express transportation in China will change dramatically, from highways as the main mode of transportation to high-speed railway transportation relying on a high-speed railway network, which will effectively reduce the environmental pollution caused by express transportation and further improve the sustainable development of the economy and the logistics industry. At present, the freight Electric Multiple Units (EMU) has been successfully developed and has entered the final test stage. In the last paper, we have introduced the theory and method of the high-speed rail express train operation plan. In addition, a train diagram is an important foundation of railway transportation organization. In order to ensure the sustainable development of high-speed rail express trains after they are put into use, based on the operation plan of high-speed rail express trains, this paper establishes a comprehensive compilation model of a high-speed rail express train diagram, considering train running time, freight flow distribution scheme, and the operation plan of freight multiple units, and an exact solution algorithm based on the Lagrange relaxation algorithm is designed. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.


2019 ◽  
Vol 11 (5) ◽  
pp. 1352 ◽  
Author(s):  
Min Su ◽  
Weixin Luan ◽  
Liuyan Yuan ◽  
Rui Zhang ◽  
Zhenchao Zhang

With the rapid construction of high-speed railways (HSR), the supply structure of the transportation modes in China has changed greatly. In order to seek the sustainable development of HSR and air transport from the perspective of passenger mode choice behavior, this paper applied a binary logit model to explore the mode choice patterns in the Beijing–Shanghai corridor, which has the most successfully operated HSR line in China. By using the data collected in airports and HSR stations in the two cities, passenger flow composition and passenger mode choice behavior was analyzed. It was found that passengers’ preference for air transport decreases with the accompanying number of passengers and access time, and increases with income; female passengers and younger passengers have a higher probability of choosing air transport, ceteris paribus; and leisure passengers are more price-sensitive, they tend to travel by air transport when the air transport prices are lower. The study results reveal the travel characteristics of passengers between Beijing–Shanghai and provide information for policy design and infrastructure management.


2018 ◽  
Vol 3 (4) ◽  
pp. 346
Author(s):  
Cong-yi Jin ◽  
Zhong-wei Shen

<p><em>With the development of urbanization and the arrival of the high-speed rail era in China, railway stations as urban transportation centers, the spatial structure and functional organization of stations have also undergone major changes, and their spatial integration trends and complex forms are becoming increasingly prominent.on this basis, promote the comprehensive development of the station space and the rational construction of its functional system, and conduct research on relevant strategies to rationally utilize the station resources to meet the various needs of urban development, traffic construction and public activities, and help guide stations. The city integrates and contributes to the sustainable development of the city.</em></p>


2021 ◽  
pp. 1-12
Author(s):  
Xuefei Ren

This article examines how China’s rust-belt cities deploy historical preservation for urban revitalization. Drawing upon fieldwork interviews and online debates, it investigates the preservation battle over Jihong Bridge in Harbin in northeast China. Built by Russian settlers in the early 20th century, Jihong Bridge symbolizes the birth of Harbin as a railway city, but a century later, it stood in the way of the local government’s ambitious plan for building high-speed rail. The municipal government elevated the bridge, significantly modifying its structure to allow high-speed trains to pass underneath. The renovation was heavily criticized by local preservationists, who invoked the government’s own preservation regulations to try to save the bridge. The study highlights the dilemma faced by local governments of rust-belt cities, as they are caught between the desire to deploy historical architecture for city branding and competing priorities of infrastructure investment.


2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Xueqiao Yu ◽  
Lingyun Zhou ◽  
Mingkun Huo ◽  
Xiao Yu

The sustained and stable growth of China’s market economy promotes the continuous improvement of transportation demand and puts forward higher requirements for transportation products. At present, as a new product, high-speed rail freight has played an important role in cold chain logistics and high-value-added transportation, which is of great significance to effectively reduce the pollution caused by road transportation and further promote the sustainable development of economy and logistics industry. In the previous study, we studied the organization optimization method of high-speed rail freight train operation scheme and the compilation method of high-speed rail freight train diagram based on the overall demand of freight transportation but did not consider the influence of different high-speed rail freight transportation products on the organization scheme. Therefore, in order to ensure the sustainable development of high-speed rail freight business, based on the demand of high-speed freight products (the freight product for short in the following text), this paper focuses on the optimization method of high-speed rail freight train organization scheme considering different demands. A two-stage freight demand analysis method considering customers’ choice intention and actual supply capacity was designed, comprehensively considering the relationship between operation cost and income, and a model based on different products in order to meet the needs of large-scale case solving was established. In addition, a column generation algorithm was designed. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.


Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 720 ◽  
Author(s):  
Guowei Jin ◽  
Shiwei He ◽  
Jiabin Li ◽  
Yubin Li ◽  
Xiaole Guo ◽  
...  

Studying the interaction between demand forecasting and train stop planning is important, as it ensures the sustainable development of high-speed rail (HSR). Forecasting the demand for high-speed rail (HSR), which refers to modal choice or modal split in this paper, is the first step in high-speed rail (HSR) planning. Given the travel demand and the number of train trips on each route, the train stop planning problem (TSPP) of line planning involves determining the stations at which each train trip stops, i.e., the stop-schedule of each train trip, so that the demand can be satisfied. To integrate and formulate the two problems, i.e., the modal choice problem (MCP) and train stop planning problem (TSPP), a nonlinear model is presented with the objective of maximizing the total demand captured by a high-speed rail system. To solve the model, a heuristic iterative algorithm is developed. To study the relationship between the demand and the service, the Beijing–Shanghai high-speed rail (HSR) corridor in China is selected. The empirical analysis indicates that combining modal choice and train stop planning should be considered for the sustainable design of high-speed rail (HSR) train services. Furthermore, the model simulates the impact of the number of stops on its mode share by reflecting changes in travelers’ behaviors according to HSR train stop planning, and it also provides a theoretical basis for the evaluation of the adaptability of the service network to travel demand.


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