Simulation of city network accessibility and its influence on regional development pattern in China based on integrated land transport system

Chen, Zhuo; Liang, Yi; Jin, Fen

doi:10.18306/dlkxjz.2021.02.001

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…As for location attractiveness, it is often measured using indicators such as the level of regional economic development and the number of populations [40]. Studies on the impacts of transportation construction on urban space cover regional and urban agglomeration, city, and station area scales [41], and it is generally believed that changes in spatial structure at macro-regional scales mainly originate from the construction of trans-regional transport corridors such as roads and railways [42,43]. JIN Fengjun et al integrated the indicators of regional transportation network density, the degree of influence of transportation arterials, and the degree of locational advantage and put forward the concept of the degree of transportation advantage [44].…”

Section: Spatial and Temporal Compression Effect Of Regional Transpor...mentioning

confidence: 99%

Research Progress of the Impacts of Comprehensive Transportation Network on Territorial Spatial Development and Protection

Xu,

Zhu,

Zhang

et al. 2024

Land

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Coordination between the construction of transport infrastructure and the development and protection of territorial space is an important factor in promoting sustainable regional development, but there is still a lack of systematic research on the impact of transport on territorial space worldwide. Following the logic of “development trend revealing—theoretical and technological summary—mechanism analysis”, the research progress on the two aspects of development and protection of territorial space related to transport is systematically and comprehensively sorted from the perspective of multi-scale and multi-mode transport. The results show that: (1) The number of research papers on the effect of transport on territorial space is on the rise, and there is an obvious trend of cross-disciplinary research. (2) Transport infrastructure will promote the development of territorial space in terms of land use change, spatial-temporal compression, and economic development, and will affect the protection of territorial space in terms of ecological impacts, energy consumption and carbon emissions, and the crossing of protection zones. (3) In the existing research, the lack of multi-dimensional indicator system construction and analysis, insufficient research at the mechanism level, and insufficient combination of theoretical research and practical application are the main problems at present, and an important direction is urgently needed for future research.

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Section: Spatial and Temporal Compression Effect Of Regional Transpor...mentioning

confidence: 99%

Research Progress of the Impacts of Comprehensive Transportation Network on Territorial Spatial Development and Protection

Xu,

Zhu,

Zhang

et al. 2024

Land

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“…Previous studies on this topic paid more attention to the internal traffic land-use problems of cities, and an inadequate level of research has been conducted on the nationwide use of land for traffic [33,34]. Based on the basic data of land used for transportation at the county level over the past 40 years, since the implementation of the reform and opening-up policy in China, this study explored the spatial-temporal evolution pattern of land used for transportation at the county level in China.…”

Section: The Spatial and Temporal Evolution Of Land Used For Transpor...mentioning

confidence: 99%

“…The connections of talents, resources, technology, and other elements between regions need to be made possible by transportation. However, Chen et al [34] and Chen et al [37] found that the current transportation construction in China has entered a new stage and is now aimed at improving quality and efficiency. Since land resources are becoming more and more precious, authors can study the land used for transportation within and among urban agglomerations.…”

Section: Future Research Directions Of Land Used For Transportationmentioning

confidence: 99%

Spatial–Temporal Pattern and Influence Factors of Land Used for Transportation at the County Level since the Implementation of the Reform and Opening-Up Policy in China

Cao

et al. 2021

Land

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In this paper, we study the characteristics of the spatial–temporal pattern of land used for transportation at the county level since the implementation of the reform and opening-up policy in China and discuss the factors that influence the spatial differences between lands used for transportation in order to provide a reference for the formulation of traffic policies. The authors used ArcGIS spatial analysis, an ordinary least squares (OLS) regression model, and a geographic detector model based on the data of the transportation network at the county level in China from 1978 to 2018. We obtained the following results: (1) The land used for transportation at the county level in China is divided by the Hu Huanyong Line, which is characterized by spatial variation, where the southeastern region is higher than the northwestern region. (2) Counties with a high proportion of land used for transportation show obvious changes, characterized by the transformation from the “corridor” zonal distribution of arteries to the “diamond” group distribution of major city clusters, reducing the gap in land used for transportation at the county level in China. (3) The level of industrialization, per capita gross regional product (PGRP), and ratio of the non-agricultural working population all have an incentivizing impact on the increase in land used for transportation at the county level in China. We conclude that the land used for transportation at the county level in China is jointly decided by the economy, industry, and population. Therefore, we believe that it is necessary to promote fast economic growth, the upgrading of industrial structures, and population density to achieve the balanced development of land used for transportation at the county level in China.

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“…Due to differences in efficiency and experience among different modes of transportation, their spatial patterns and spatial organization models are diverse. As a result, some scholars have comparatively analyzed the hierarchical structure and organizational models of urban networks based on the railway flow and aviation flow [16], or the highway flow and railway flow [17], but, overall, they still focus on the analysis of a single transportation network and lack a comprehensive, weighted analysis of multiple transportation networks. In terms of the research methodology, the approaches commonly used include the agglomerative subgraph algorithm [18], community detection models [19], and others to achieve the segmentation of regional sub-networks.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a Multiple Traffic Flow Network’s Spatial Organization Pattern Recognition Based on a Network Map

Liang,

Xie,

Bao

2024

Sustainability

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Detecting the spatial organization patterns of urban networks with multiple traffic flows from the perspective of complex networks and traffic behavior will help to optimize the urban spatial structure and thereby promote the sustainable development of the city. However, there are notable differences in regional spatial patterns among the different modes of transportation. Based on the road, railway, and air frequency data, this article investigates the spatial distribution and accessibility patterns of multiple transportation flows in the Yangtze River Economic Belt. Next, we use the TCD (Transportation Cluster Detection) community discovery algorithm and integrate it with the Baidu Maps API to obtain real-time time cost data to construct a community detection model of a multiple traffic flow network. We integrate the geographical network and topological network to perform feature extraction and rule mining on the spatial organization model of the urban network in the Yangtze River Economic Belt. The results show that: (1) The multiple traffic flow network of the Yangtze River Economic Belt has significant spatial differentiation. The spatial differentiation of aviation and railway networks is mainly concentrated between regions and within provinces, while the imbalance of highway networks is manifested as an imbalance within regions and between provinces. (2) The accessibility pattern of the highway network in the Yangtze River Economic Belt presents a “core–edge” spatial pattern. The accessibility pattern of the railway network generally presents a spatial pattern of “strong in the east and weak in the west”. Compared with sparse road and railway networks, the accessibility pattern of the aviation network shows a spatial pattern of “time and space compression in western cities”. (3) A total of 24 communities were identified through the TCD algorithm, mainly encompassing six major “urban economic communities” located in Guizhou, Yunnan, Anhui, Sichuan–Chongqing, Hubei–Hunan–Jiangxi, and Jiangsu–Zhejiang–Shanghai. (4) The urban network space organization model of the Yangtze River Economic Belt can be roughly divided into three models: the “single-core” model, with Guizhou, Kunming, and Hefei as the core, the “dual-core” model, constructed by Chengdu–Chongqing, and the “multi-core” model, constructed by Changsha–Wuhan–Nanchang and Shanghai–Nanjing–Hangzhou. This model of urban network spatial organization holds indicative significance in revealing the spatial correlation pattern among prefecture-level city units.

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Simulation of city network accessibility and its influence on regional development pattern in China based on integrated land transport system

Cited by 5 publications

References 8 publications

Research Progress of the Impacts of Comprehensive Transportation Network on Territorial Spatial Development and Protection

Research Progress of the Impacts of Comprehensive Transportation Network on Territorial Spatial Development and Protection

Spatial–Temporal Pattern and Influence Factors of Land Used for Transportation at the County Level since the Implementation of the Reform and Opening-Up Policy in China

Analysis of a Multiple Traffic Flow Network’s Spatial Organization Pattern Recognition Based on a Network Map

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