Approximating actual flows in physical infrastructure networks: the case of the Yangtze River Delta high-speed railway network

Zhang, Weiyang; Derudder, Ben; Wang, Jianghao; Witlox, Frank

doi:10.1515/bog-2016-0010

Cited by 9 publications

(16 citation statements)

References 37 publications

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“…Due to the difficulty of obtaining relational data between cities, scholars are committed to discovering relational data to represent the linkages between cities for empirical research [11]. Airline passenger data [16], railway networks [17], bus networks [18], telecommunication flows [19], Bluetooth data [20], knowledge collaboration networks [21,22], and enterprise linkages [23,24] have all become important means of providing new perspectives for research on urban networks at home and abroad. However, there are many limitations to these studies.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Core-Periphery Structure in the Yangtze River Delta: An Enterprise Linkage Perspective, 1978–2019

Jie-ying

Zhang

et al. 2021

Complexity

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Metropolitan areas are important for engaging in fierce global competition. Cities in metropolitan areas in China are generally characterized by a core-periphery structure. The Yangtze River Delta metropolitan area (YRD) is a national strategic region in which Shanghai, as a central city, drives the economic growth of hinterland cities. Exploring the spatiotemporal characteristics and influencing factors between the central city and its hinterland cities in the YRD can provide a basis for promoting regional development. Based on the headquarters-branches and enterprise investment data from 1978 to 2019, this study analyzes the spatiotemporal characteristics and influencing factors of enterprise linkages between Shanghai and its hinterland cities in the YRD. Our results reveal the following: (1) the headquarters-branch linkages between Shanghai and its hinterland cities manifest polarization characteristics, with different polarized characteristics among the three provinces; (2) the enterprise investment linkages between Shanghai and its hinterland cities are getting closer, but the key cities for investment in each province are different; (3) economic strength is a core factor that affects whether Shanghai establishes enterprise branches in its hinterland cities; and (4) the enterprise investment linkages between Shanghai and its hinterland cities depend on whether a city has a comparative advantage.

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Section: Literature Reviewmentioning

confidence: 99%

“…e measurement method of monitoring telecommunication flows and knowledge collaboration networks encounters difficulty in distinguishing the starting point from the ending point between cities [17]. is method focuses more on judging the hierarchical status of the city in the network structure [21].…”

Section: Literature Reviewmentioning

confidence: 99%

The Core-Periphery Structure in the Yangtze River Delta: An Enterprise Linkage Perspective, 1978–2019

Jie-ying

Zhang

et al. 2021

Complexity

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“…Previous research was usually based on HSR frequency, because the actual passenger flow data are difficult to obtain [7]. Zhang et al [8] proposed an inter-city HSR passenger flow simulated model; therefore, in order to serve our research, we will explore how to transform the passenger flow simulation model based on inter-city to the situation based on inter-station, which is one of the purposes of this research. Moreover, another purpose of this research is to pay attention to the spatial structure evolution characteristics of the HSR network, including regional and local scales, so that the structural analysis of the HSR network will go deep into the city and compare the development differences of the HSR network structure in different cities.…”

Section: Introductionmentioning

confidence: 99%

“…This is justified by research that showed that the remaining tickets (unsold tickets) and dwell time (the time spent by a train) for HSR are related to actual passenger flow [9,10], meaning that HSR passenger flow can be inferred from dwell time. In our study, we use simulated HSR passenger flow based on dwell time [8] as a measure of the interaction between nodes, which allows us to construct a more precise HSR network.…”

Section: Introductionmentioning

confidence: 99%

The Regional and Local Scale Evolution of the Spatial Structure of High-Speed Railway Networks—A Case Study Focused on Beijing-Tianjin-Hebei Urban Agglomeration

Dan

Chen

Pei

et al. 2021

IJGI

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China has entered an era of rapid high-speed railway (HSR) development and the spatial structure of urban agglomerations will evolve in parallel with the development and evolution of the spatial structure of the HSR network. In this study, we explore how the spatial structure of an HSR network evolves at regional and local scales. Existing research into HSR network structures has mostly been carried out at a regional scale, and has therefore failed to reveal the spatial connections within a city. In this work, we progress the science by exploring it at a local scale. To describe the HSR network more accurately, we use the dwell time to simulate the passenger flow between stations and use the simulated passenger flow as the network weight. We use complex network analysis to investigate the evolution of the network’s spatial structure. Our results present the evolution of station locations, of community structure, and of the locations of connections between stations at a regional scale, and also show how HSR network development within core cities has impacted structures and connectivity at a local scale. These results help us to understand the spatial structure of urban agglomerations and cities, and provide evidence that can be used to optimize the structure of the HSR network within regions and cities.

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“…In many studies, traffic flow is usually replaced by actual shift information. Early studies based on traffic flow focused more on the perspective of air passenger flow [6] followed by research studies based on rail passenger flow and air passenger flow [7][8][9]. Data on passenger air and railway flow are easy to obtain and have great advantages in large-scale network research, but there are considerable limitations on urban connection research in smaller areas.…”

Section: Introductionmentioning

confidence: 99%

Exploring Spatial and Temporal Connection Patterns among the Districts in Chongqing Based on Highway Passenger Flow

et al. 2019

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Investigating regional connections and their influencing factors from the perspective of "flow" space is one of the foundations of promoting regional development. In this article, the data we used includes actual highway passenger flow data, National Polar-orbiting Partnership/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light remote sensing data, and socioeconomic data. We analyzed the spatial distribution pattern, connection intensity and spatial autocorrelation of highway passenger flow in Chongqing during the working day, weekend and May Day and revealed the influencing factors by means of a geographic detector. Three key conclusions resulted from this research. First, highway passenger flow in Chongqing districts exhibits spatial agglomeration that is clearly higher in western Chongqing than in eastern Chongqing and forms an obviously dual-core "star" structure, with the main urban area and Wanzhou serving as the core. Second, a factor detector notes that the nighttime light area index (0.9251, 0.9512, 0.9541) has the strongest explanatory power for the spatial differentiation of passenger traffic in Chongqing districts, which is the key factor. Third, interaction detection shows that the interaction between the two factors displays an enhancement effect at different times. The nighttime light area index shows the strongest explanatory power under the synergy of tourist attractions, which are 0.9850, 0.9903 and 0.9908. But the per capita GDP and highway mileage have the most obvious enhancement effect after interaction (0.9544, 0.9661, 0.9652). Therefore, in future planning and development, we should pay attention to cooperation and exchanges between districts and use the nighttime light area index as an important reference factor to provide a scientific basis for the construction of public transport and economic construction in Chongqing.

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Approximating actual flows in physical infrastructure networks: the case of the Yangtze River Delta high-speed railway network

Cited by 9 publications

References 37 publications

The Core-Periphery Structure in the Yangtze River Delta: An Enterprise Linkage Perspective, 1978–2019

The Core-Periphery Structure in the Yangtze River Delta: An Enterprise Linkage Perspective, 1978–2019

The Regional and Local Scale Evolution of the Spatial Structure of High-Speed Railway Networks—A Case Study Focused on Beijing-Tianjin-Hebei Urban Agglomeration

Exploring Spatial and Temporal Connection Patterns among the Districts in Chongqing Based on Highway Passenger Flow

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