Characterizing the polycentric spatial structure of Beijing Metropolitan Region using carpooling big data

Liu, Xiaobing; Yan, Xuedong; Wei, Wang; Titheridge, H; Wang, Rui; Liu, Yang

doi:10.1016/j.cities.2020.103040

Cited by 36 publications

(13 citation statements)

References 66 publications

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“…Urban land use maps have facilitated this work. In fact, scholars have been able to identify the different kinds of functional urban spaces or areas through a variety of data [11][12][13]26]. We suggest that scholars can use the above identified functional urban space or area data to further analyze the replacement between different functional urban land types in order to explore the inherent characteristics of urban spatial evolution.…”

Section: Discussionmentioning

confidence: 99%

“…Regarding the study of urban land within a city, scholars have focused on the identification of functional urban areas or land. Big data are often used to identify functional urban space and to analyze the organization of functional urban spaces [23][24][25][26]. Tian et al (2010) used POI data to divide the functional urban space of Beijing and pointed out that Beijing belongs to an urban spatial structure similar to that of the concentric zone mode [24].…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al (2020) compared the similarities and differences in the spatial organization of the urban functions in 25 Chinese cities with help of POI data [25]. In contrast to Tian et al's conclusions, Liu et al (2021) used carpooling big data to identify the regional centers and highlighted the polycentric spatial structure of Beijing [26]. In addition, the redevelopment of a certain type of urban land occasionally appears in the existing literature.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Pattern of Functional Urban Land Conversion and Expansion under Rapid Urbanization: A Case Study of Changchun, China

Zhou

Zhang

et al. 2022

Land

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As populations continue to be concentrated in cities, the world will become entirely urbanized, and urban space is undergoing a drastic evolution. Understanding the spatial pattern of conversion and expansion of functional urban land, in the context of rapid urbanization, helps us to grasp the trajectories of urban spatial evolution in greater depth from a theoretical and practical level. Using the ESRI ArcGIS 9.3 software platform, methods, such as overlay analysis, transition matrix, and kernel density estimation, were used in order to analyze the spatiotemporal characteristics of different types of functional urban land conversion and expansion in the central city of Changchun. The results show that different types of functional urban land were often expanded and replaced, and the urban spatial structure was constantly evolving. The conversion and expansion of functional urban land show similar characteristics to concentric zone and sector modes and show dynamic changes in different concentric circles and directions at different periods. Our method can accurately identify the different types of functional urban land, and also explore the evolutionary trajectory of urban spatial structure. This study will help to coordinate the development of different functional urban spaces and to optimize the urban spatial structure in the future.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Pattern of Functional Urban Land Conversion and Expansion under Rapid Urbanization: A Case Study of Changchun, China

Zhou

Zhang

et al. 2022

Land

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“…The spatial characteristics of the population and employment spatial distribution for the six central city districts were quite similar, and the largest difference emerged for the central city vs. non-central city (i.e. urban vs. suburban) comparisons as opposed to the within-district comparisons (Liu et al 2021;Shi and Cao 2020). Ideally, district fixed effects variables would have been a better option than a central city dummy variable since it could control for district-level unobserved characteristics.…”

Section: Control Variablesmentioning

confidence: 98%

The roads one must walk down: Commute and depression for Beijing’s residents

Wang

Liu

2022

Transportation Research Part D: Transport and Environment

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“…We also collected some data reflecting the stations' locations. Some scholars have demonstrated that Shanghai presents a polycentric structure [47]. The general population distribution in the central area of Shanghai is dense and a drastic decline can be witnessed outside the Outer Ring Road, So we decided to take distance to the Outer Ring Road as an indicator instead of distance to city center.…”

Section: Transport Datamentioning

confidence: 99%

How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai

Yunzheng¹

2021

URP

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With the acceleration of urban sprawl, many cities have extended their metro lines into peripheral areas. It is hoped that the expansion of transport network can promote the construction of less developed regions and help relieve overpopulation in city centers. When measuring the spatial quality of station catchment areas, land use and transport conditions are two main dimensions that should be paid attention to. But how they affect population distribution hasn't been carefully studied yet. Up to now, there have been a substantial amount of studies relating to the comparatively well-developed transit stations in city centers whereas suburban stations still require further exploration. To fill this gap, our study aims to learn about current land use types, transport conditions and population aggregation around 97 suburban metro stations in Shanghai based on available information and data from Baidu Map and employs a stepwise regression approach to examine how the environmental variables affect population aggregation. The study shows that six land use variables and three transport-related variables are significantly associated with population aggregation on weekday while four land use variables and three transport-related variables show their significance on weekend. By finding out the coefficients of different land use and transport variables, this study hopes to guide government and urban planners in future planning in order to attract more people to live and work around suburban metro stations.

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Characterizing the polycentric spatial structure of Beijing Metropolitan Region using carpooling big data

Cited by 36 publications

References 66 publications

Spatial Pattern of Functional Urban Land Conversion and Expansion under Rapid Urbanization: A Case Study of Changchun, China

Spatial Pattern of Functional Urban Land Conversion and Expansion under Rapid Urbanization: A Case Study of Changchun, China

The roads one must walk down: Commute and depression for Beijing’s residents

How Do Land Use Types and Transport Conditions Affect Population Aggregation Around Suburban Metro Stations: A Case Study in Shanghai

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