Measuring polycentric structures of megaregions in China: Linking morphological and functional dimensions

Chen, Wei; Golubchikov, Oleg; Liu, Zhigao

doi:10.1177/2399808320974687

Cited by 10 publications

(7 citation statements)

References 43 publications

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“…Social network analyses can quantitatively assess complex linkages in socio-economic development [11]. They align with research approaches that explore changes in the patterns and processes of geographical phenomena.…”

Section: Introductionmentioning

confidence: 99%

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Chen

Zhang

2022

Foods

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Cereal trade is essential for economic and commercial cooperation among countries along the “Belt and Road” (BRI). It helps ensure food security and contributes to building a community of interests and destinies for the BRI countries. Based on the UN Comtrade database, this study, using a network analysis approach, investigates the structural characteristics and spatiotemporal dynamics of cereal trade networks among the “Belt and Road” countries. Results show that: (1) The cereal trade among the BRI countries has formed well-connected and complex trade networks, and the “Belt and Road” initiative has significantly promoted cereal trade networks among the BRI countries. (2) The backbone structures of cereal trade networks along the BRI are in geographical proximity. India, Russia, and Ukraine are the most important trading partners and absolute core nodes in the trade networks, influencing the entire cereal trade networks. (3) The BRI cereal trade networks exhibit significant core-periphery structures, with considerable power asymmetries between the countries reflecting food supply and demand differences. In general, the BRI cereal trade networks have developed from relatively diversified to polarized. Supply chains in the cereal trade network are dominated by a few large countries and are fragile, with weak resilience and low resistance to risk. Therefore, governments should continue to strengthen regional cooperation, optimize cereal trade network structure, enhance their reserve capacity, and build a stronger system to guarantee food security and prevent risk. All these measures will support the food security of the “Belt and Road” countries.

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Section: Introductionmentioning

confidence: 99%

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Chen

Zhang

2022

Foods

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“…Although many studies have measured the polycentric urban spatial structure from the perspective of morphology, studies on functional connection between centers in a city are limited [3,13]. Investigations on the relationship between morphological and functional centrality are also lacking [14]. This study investigates the urban spatial structure of Shenzhen, a large Chinese city, to fill these gaps.…”

Section: Introductionmentioning

confidence: 99%

Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China

Lai

Chen

et al. 2022

Land

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Debate on the shift from a monocentric to polycentric urban structure has been extensive. Polycentricity generally refers to the co-existence of several centers in a city. Existing studies regarding China have mainly focused on the morphological characteristics of urban centers, but few recent studies have focused on functional dimensions of urban centers. Emerging big data sources provide new opportunities to explore the morphological and functional perspectives of urban spatial structure. This study uses mobile phone signaling data and develops a new methodology to measure urban centers’ functional centrality. The study area focuses on Shenzhen City, which has rapidly transformed from a village into a metropolitan city in the past few decades. As the first economic special zone in China, Shenzhen has adopted a polycentric urban plan since the beginning of the urbanization process. This study explores the spatial employment structure of the city from the morphological and function dimensions. Based on the findings, this study discusses the role of urban planning in forming an urban spatial structure and provides implications for future planning.

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“…The movement of people between cities is often influenced more by specific differences in industrial structures than by a strong hierarchical structure based on city size and scale. The PRD and YRD regions serve as representatives of such urban regions where inter-city population movement has formed a network and established a more functional polycentric structure compared to other urban regions [62]. We argue that these functional urban regions no longer focus solely on the economic size and hierarchy of individual cities but emphasize the role played by specific city functions in shaping intercity connections.…”

Section: Parameter Estimatesmentioning

confidence: 91%

Spatial Relationship of Inter-City Population Movement and Socio-Economic Determinants: A Case Study in China Using Multiscale Geographically Weighted Regression

Liu,

Niu

2024

IJGI

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In the current field of regional studies, there is a growing focus on regional spatial relationships from the perspective of functional linkages between cities. Inter-city population movement serves as an embodiment of the integrated functionality of cities within a region, and this is closely tied to the socio-economic development of urban areas. This study utilized Location-Based Services (LBSs) to collect the scale of inter-city population movement across 355 cities in China. Additionally, socio-economic data published by local governments were incorporated. By establishing a Multiscale Geographically Weighted Regression (MGWR) model, this research explores the spatial relationships between inter-city population movement and socio-economic influencing factors in China. This study aims to elucidate the spatial scales of the relationships between various variables. Our research findings indicate that the relationship between inter-city population movement and potential socio-economic determinants exhibits spatial non-stationarity. It is better to explore this spatial relationship through the MGWR model as there are different determinants operating on inter-city population movement at different spatial scales. The spatial distribution of the coefficient estimates shows significant regional differences and numerical variations. In China’s economically developed coastal regions, there is relatively balanced development among cities, with advanced manufacturing and producer service industries acting as significant drivers of mobility. In inland regions of China, city size is the most influential variable, directing a substantial flow of human and economic resources towards regional socio-economic hubs such as provincial capitals. The main contribution of this study is the re-examination of the relationship between inter-city population movement and socio-economic factors from the perspective of spatial scales. This approach will help China to consider the heterogeneity of different regions more extensively when formulating regional development policies, thereby facilitating the targeted promotion of regional element flow.

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Measuring polycentric structures of megaregions in China: Linking morphological and functional dimensions

Cited by 10 publications

References 43 publications

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China

Spatial Relationship of Inter-City Population Movement and Socio-Economic Determinants: A Case Study in China Using Multiscale Geographically Weighted Regression

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