Analysis of spatial features and determination of metropolitan area boundaries in the Guanzhong region affected by intercity rail transit
This study explores how intercity rail transit reshapes spatial structures, which underpins the optimization of regional resource allocation. Taking 54 county-level units in the Guanzhong region as research subjects, we constructed a dual-model analytical framework combining “field potential” and “h...
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Published in | Discover applied sciences Vol. 7; no. 8; pp. 798 - 16 |
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Language | English |
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18.07.2025
Springer Nature B.V Springer |
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Abstract | This study explores how intercity rail transit reshapes spatial structures, which underpins the optimization of regional resource allocation. Taking 54 county-level units in the Guanzhong region as research subjects, we constructed a dual-model analytical framework combining “field potential” and “hydrological network” models. A counterfactual simulation approach was adopted to compare spatial field potential distributions under scenarios with and without rail transit, while topological relationships of river networks were used to delineate metropolitan areas. Key findings include: (1) Under scenarios with and without intercity rail transit, the mean field potential values of county-level units in Guanzhong were 9.59 and 8.50, respectively, with standard deviations of 205.65 and 170.45. This indicates that rail transit significantly enhances field potential while amplifying spatial heterogeneity. (2) The “layered-corridor” composite structure in Guanzhong exhibits stability. However, intercity rail transit introduces coexisting “corridor effects” and “shielding effects” in non-corridor areas, enabling potential leapfrog development in metropolitan areas. (3) Fractal differences in county-level field potential distributions help identify the spatial boundaries of three metropolitan areas: Xi’an, Baoji, and Weinan. The Xi’an metropolitan area already dominates Guanzhong, whereas the Linwei District of Weinan exhibits a field potential attenuation slope toward Xi’an that is 2.3 times faster than its local attenuation, suggesting future integration of Weinan into Xi’an’s framework. (4) The study concludes that intercity rail networks reconstruct regional energy fields through space-time compression effects. Future planning should leverage rail transit’s positive role in spatial regulation and resource allocation, adopting a “layered-corridor” organizational model to promote integration and structural optimization.
Article Highlights
Accurately analyze the spatial field energy distribution characteristics of county - level units in the Guanzhong area under the influence of intercity rail transit.
Reveal the dual effects of “time - space compression - polarization amplification” triggered by rail transit.
Objectively identify the spatial scopes of the three major metropolitan areas in the Guanzhong area, namely Xi’an, Baoji, and Weinan. |
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AbstractList | This study explores how intercity rail transit reshapes spatial structures, which underpins the optimization of regional resource allocation. Taking 54 county-level units in the Guanzhong region as research subjects, we constructed a dual-model analytical framework combining “field potential” and “hydrological network” models. A counterfactual simulation approach was adopted to compare spatial field potential distributions under scenarios with and without rail transit, while topological relationships of river networks were used to delineate metropolitan areas. Key findings include: (1) Under scenarios with and without intercity rail transit, the mean field potential values of county-level units in Guanzhong were 9.59 and 8.50, respectively, with standard deviations of 205.65 and 170.45. This indicates that rail transit significantly enhances field potential while amplifying spatial heterogeneity. (2) The “layered-corridor” composite structure in Guanzhong exhibits stability. However, intercity rail transit introduces coexisting “corridor effects” and “shielding effects” in non-corridor areas, enabling potential leapfrog development in metropolitan areas. (3) Fractal differences in county-level field potential distributions help identify the spatial boundaries of three metropolitan areas: Xi’an, Baoji, and Weinan. The Xi’an metropolitan area already dominates Guanzhong, whereas the Linwei District of Weinan exhibits a field potential attenuation slope toward Xi’an that is 2.3 times faster than its local attenuation, suggesting future integration of Weinan into Xi’an’s framework. (4) The study concludes that intercity rail networks reconstruct regional energy fields through space-time compression effects. Future planning should leverage rail transit’s positive role in spatial regulation and resource allocation, adopting a “layered-corridor” organizational model to promote integration and structural optimization.Article HighlightsAccurately analyze the spatial field energy distribution characteristics of county - level units in the Guanzhong area under the influence of intercity rail transit.Reveal the dual effects of “time - space compression - polarization amplification” triggered by rail transit.Objectively identify the spatial scopes of the three major metropolitan areas in the Guanzhong area, namely Xi’an, Baoji, and Weinan. This study explores how intercity rail transit reshapes spatial structures, which underpins the optimization of regional resource allocation. Taking 54 county-level units in the Guanzhong region as research subjects, we constructed a dual-model analytical framework combining “field potential” and “hydrological network” models. A counterfactual simulation approach was adopted to compare spatial field potential distributions under scenarios with and without rail transit, while topological relationships of river networks were used to delineate metropolitan areas. Key findings include: (1) Under scenarios with and without intercity rail transit, the mean field potential values of county-level units in Guanzhong were 9.59 and 8.50, respectively, with standard deviations of 205.65 and 170.45. This indicates that rail transit significantly enhances field potential while amplifying spatial heterogeneity. (2) The “layered-corridor” composite structure in Guanzhong exhibits stability. However, intercity rail transit introduces coexisting “corridor effects” and “shielding effects” in non-corridor areas, enabling potential leapfrog development in metropolitan areas. (3) Fractal differences in county-level field potential distributions help identify the spatial boundaries of three metropolitan areas: Xi’an, Baoji, and Weinan. The Xi’an metropolitan area already dominates Guanzhong, whereas the Linwei District of Weinan exhibits a field potential attenuation slope toward Xi’an that is 2.3 times faster than its local attenuation, suggesting future integration of Weinan into Xi’an’s framework. (4) The study concludes that intercity rail networks reconstruct regional energy fields through space-time compression effects. Future planning should leverage rail transit’s positive role in spatial regulation and resource allocation, adopting a “layered-corridor” organizational model to promote integration and structural optimization. Article Highlights Accurately analyze the spatial field energy distribution characteristics of county - level units in the Guanzhong area under the influence of intercity rail transit. Reveal the dual effects of “time - space compression - polarization amplification” triggered by rail transit. Objectively identify the spatial scopes of the three major metropolitan areas in the Guanzhong area, namely Xi’an, Baoji, and Weinan. Abstract This study explores how intercity rail transit reshapes spatial structures, which underpins the optimization of regional resource allocation. Taking 54 county-level units in the Guanzhong region as research subjects, we constructed a dual-model analytical framework combining “field potential” and “hydrological network” models. A counterfactual simulation approach was adopted to compare spatial field potential distributions under scenarios with and without rail transit, while topological relationships of river networks were used to delineate metropolitan areas. Key findings include: (1) Under scenarios with and without intercity rail transit, the mean field potential values of county-level units in Guanzhong were 9.59 and 8.50, respectively, with standard deviations of 205.65 and 170.45. This indicates that rail transit significantly enhances field potential while amplifying spatial heterogeneity. (2) The “layered-corridor” composite structure in Guanzhong exhibits stability. However, intercity rail transit introduces coexisting “corridor effects” and “shielding effects” in non-corridor areas, enabling potential leapfrog development in metropolitan areas. (3) Fractal differences in county-level field potential distributions help identify the spatial boundaries of three metropolitan areas: Xi’an, Baoji, and Weinan. The Xi’an metropolitan area already dominates Guanzhong, whereas the Linwei District of Weinan exhibits a field potential attenuation slope toward Xi’an that is 2.3 times faster than its local attenuation, suggesting future integration of Weinan into Xi’an’s framework. (4) The study concludes that intercity rail networks reconstruct regional energy fields through space-time compression effects. Future planning should leverage rail transit’s positive role in spatial regulation and resource allocation, adopting a “layered-corridor” organizational model to promote integration and structural optimization. |
ArticleNumber | 798 |
Author | Zhang, Pei Cai, Chunjie |
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SubjectTerms | Applied and Technical Physics Attenuation Boundaries Chemistry/Food Science Cities Composite structures Compression Decision making Earth Sciences Energy Energy distribution Engineering Environment GDP Geography Gross Domestic Product Guanzhong region Heterogeneity High speed rail Hydrological model Hydrology Influence Intercity rail transit Land use Materials Science Metropolitan area Metropolitan areas Optimization Regional planning Research methodology Resource allocation River networks Roads & highways Spatial analysis Spatial characteristics Spatial field energy Spatial heterogeneity Time compression |
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Title | Analysis of spatial features and determination of metropolitan area boundaries in the Guanzhong region affected by intercity rail transit |
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