Analysis of structural evolution and its influencing factors of the high-speed railway network in China's three urban agglomerations

Dan, He; Chen, Zixuan; Pei, Tao; Zhou, Jing

doi:10.1016/j.cities.2022.104063

Cited by 14 publications

(7 citation statements)

References 40 publications

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“…This emphasizes the urgent need to optimize resource allocation to address these disparities. This finding is consistent with existing research, as most studies suggest that the current urban agglomeration is in a three-core stage, although some argue that it may still be in a two-core stage [15]. Nevertheless, regardless of the stage, the status of Shijiazhuang within the urban agglomeration needs further enhancement.…”

Section: Discussionsupporting

confidence: 90%

“…Guided by the space of flows theory, urban studies based on flow data has evolved into a novel research paradigm in urban network science [14]. The studies utilize geographic methods such as spatial interaction models and accessibility models to conduct research related to the spatial pattern and interconnectivity of urban networks [15,16]. Transportation serves as the physical foundation of the regional connection, and its interconnectivity offers a method to evaluate the regional spatial interaction.…”

Section: Literature Review 21 Rail Transit and Urban Spatial Networkingmentioning

confidence: 99%

“…Utilizing Equation (15), this study computes the urban integrated quality values for the years 2010 to 2021 within the BTH urban agglomeration, as shown in Table 3. This analysis illustrates the distinctive characteristics of these pivotal urban nodes, which play a foundational role in understanding the cities' roles and influence in the BTHRTN.…”

Section: Node Cities Characteristics Within Bthrtnmentioning

confidence: 99%

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The Interconnectivity and Spatio-Temporal Evolution of Rail Transit Network Based on Multi-Element Flows: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China

Luan,

Xiang,

Jia

2024

Land

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For intercity transportation within urban agglomerations, rail transit interconnectivity not only stimulates city-to-city interactions but also facilitates the networking of urban spaces. Crucially, comprehending the spatial network of urban agglomerations needs a focus on rail transit interconnectivity. Drawing on the space of flows theory, this study establishes a framework to evaluate rail transit interconnectivity and the spatial structure of urban agglomerations, utilizing the Beijing-Tianjin-Hebei urban agglomeration as a case study. The objective of this study is to explore the impact of rail transit interconnectivity on the spatial structure in the urban agglomeration. Firstly, it establishes a coupled concept of urban quality and line quality to elucidate the interaction between rail transits and urban development. Secondly, it employs the AHP-CRITIC-TOPSIS and modified gravity model to evaluate the interconnectivity degree of rail transits and visualize the network. Thirdly, based on the multi-element flows facilitated by rail transit interconnectivity, the evolution of the spatial structure within the urban agglomeration is quantified using social network analysis. The study findings are as follows: (1) From 2010 to 2021, the interconnectivity degree of rail transit in the Beijing-Tianjin-Hebei urban agglomeration experienced substantial growth, emphasizing the correlation between interconnectivity and the city hierarchy within the urban agglomeration. (2) The interconnectivity degree of the Beijing-Tianjin-Hebei urban agglomeration shows an uneven pattern of “three cores and numerous weak links,” characterized by spatial polarization. (3) Rail transit interconnectivity contributes to shaping the spatial structure of urban agglomerations in terms of interconnectivity, polycentricity, and integration, although the enhancement of polycentricity is limited. The framework developed in this study can be extensively employed to investigate the interplay between rail transit interconnectivity and the spatial structure of urban agglomerations, thereby promoting the sustainability of regional planning.

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Section: Discussionsupporting

confidence: 90%

Section: Literature Review 21 Rail Transit and Urban Spatial Networkingmentioning

confidence: 99%

Section: Node Cities Characteristics Within Bthrtnmentioning

confidence: 99%

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The Interconnectivity and Spatio-Temporal Evolution of Rail Transit Network Based on Multi-Element Flows: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China

Luan,

Xiang,

Jia

2024

Land

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“…HSR is an important transportation infrastructure to improve the city's connectivity to the outside community [40]. HSR plays a significant role in driving transformative shifts in urban land use, surpassing the impact of other transportation infrastructure [41].…”

Section: Land Use Pattern With Hsr Openingmentioning

confidence: 99%

Incorporating High-Speed Rail Development Scenario for Tourism Land Use Simulation: A Case Study of Xinxing County, China

Jiao

Zhang

et al. 2023

Land

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High-speed rail (HSR) has been proven to drive the development of regional tourism. However, few studies paid attention to the impact of HSR on future tourism land use. In this study, points of interest (POI) were used to obtain the locations and types of tourism facilities, and high-resolution remote sensing images helped us determine the spatial extents of the tourism facilities, so that tourism land could be identified. A system dynamics (SD) model was coupled with the patch-generating land use simulation (PLUS) model to simulate future tourism land by considering two scenarios, including HSR-led development (HRD) and the historical development pattern (HD) scenario. The SD model was employed to project the amount of tourism land and determine the HSR effects via empirical analysis. The PLUS model was applied to simulate the spatial distribution of tourism land and model the HSR effect by adopting a planned tourism area as the development area. The study area is Xinxing County in Guangdong Province, China, a county dominated by rural tourism, with the HSR expected to open in 2025. The results revealed that the SD-PLUS model has great advantages in simulating tourism land use change, and the HRD scenario leads to major changes in the sources of tourism land growth. This research provides new insights for policymakers on making countermeasures for the sustainability of tourism and rural revitalization at the county level.

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“…Research on regional urban networks has attracted significant academic interest [ 3 , 4 ]. Many studies have centered on intra-regional connections and explored the network structures [ [5] , [6] , [7] ] and evolutionary trajectories [ 8 , 9 ] within a singular spatial dimension by employing complex network analysis. However, it is crucial to recognize that urban and regional developments are profoundly shaped by multi-scale factors.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of urban network and city functions in the Yangtze River Delta Region: A multi-scale perspective

Zhang,

Cai,

Wei

et al. 2024

Heliyon

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Analysis of structural evolution and its influencing factors of the high-speed railway network in China's three urban agglomerations

Cited by 14 publications

References 40 publications

The Interconnectivity and Spatio-Temporal Evolution of Rail Transit Network Based on Multi-Element Flows: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China

The Interconnectivity and Spatio-Temporal Evolution of Rail Transit Network Based on Multi-Element Flows: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China

Incorporating High-Speed Rail Development Scenario for Tourism Land Use Simulation: A Case Study of Xinxing County, China

Characteristics of urban network and city functions in the Yangtze River Delta Region: A multi-scale perspective

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