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    Delineation of the Shanghai Megacity Region of China from a Commuting Perspective: Study Based on Cell Phone Network Data in the Yangtze River Delta

    Source: Journal of Urban Planning and Development:;2021:;Volume ( 147 ):;issue: 003::page 04021022-1
    Author:
    Kaike Li
    ,
    Xinyi Niu
    DOI: 10.1061/(ASCE)UP.1943-5444.0000702
    Publisher: ASCE
    Abstract: This study presents a method for delineating a megacity region with functional linkages in a continuous urbanized area. We examine commuting from cellphone network data and delimitate the Shanghai megacity region from 16 cities in the Yangtze River Delta, China. First, we identify places of residence and work based on certain durations of stay in one location from cellphone network data and obtain commuting data in 1 km2 grids. Second, the core area of the megacity region can be defined as a continuous high-density area by applying incoming employment density as a functional linkage. We use local spatial autocorrelation to define the hotspots of continuous high-density areas and identify a Shanghai-centered continuous high-value area. Third, we choose an algorithm that gradually increases the density threshold based on the results of local spatial autocorrelation to eliminate areas with weak functional connectivity, and delineate the boundary of the core area of the Shanghai megacity region. Results show that the core area exceeds the boundary of Shanghai Municipality and comprises the main urbanized areas of Shanghai and Suzhou. This study provides an effective method for delineating megacity regions by using functional linkages from cellphone network data and for accurately delimitating the boundary of megacity regions.
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      Delineation of the Shanghai Megacity Region of China from a Commuting Perspective: Study Based on Cell Phone Network Data in the Yangtze River Delta

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4270536
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    • Journal of Urban Planning and Development

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    contributor authorKaike Li
    contributor authorXinyi Niu
    date accessioned2022-01-31T23:53:32Z
    date available2022-01-31T23:53:32Z
    date issued9/1/2021
    identifier other%28ASCE%29UP.1943-5444.0000702.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270536
    description abstractThis study presents a method for delineating a megacity region with functional linkages in a continuous urbanized area. We examine commuting from cellphone network data and delimitate the Shanghai megacity region from 16 cities in the Yangtze River Delta, China. First, we identify places of residence and work based on certain durations of stay in one location from cellphone network data and obtain commuting data in 1 km2 grids. Second, the core area of the megacity region can be defined as a continuous high-density area by applying incoming employment density as a functional linkage. We use local spatial autocorrelation to define the hotspots of continuous high-density areas and identify a Shanghai-centered continuous high-value area. Third, we choose an algorithm that gradually increases the density threshold based on the results of local spatial autocorrelation to eliminate areas with weak functional connectivity, and delineate the boundary of the core area of the Shanghai megacity region. Results show that the core area exceeds the boundary of Shanghai Municipality and comprises the main urbanized areas of Shanghai and Suzhou. This study provides an effective method for delineating megacity regions by using functional linkages from cellphone network data and for accurately delimitating the boundary of megacity regions.
    publisherASCE
    titleDelineation of the Shanghai Megacity Region of China from a Commuting Perspective: Study Based on Cell Phone Network Data in the Yangtze River Delta
    typeJournal Paper
    journal volume147
    journal issue3
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000702
    journal fristpage04021022-1
    journal lastpage04021022-11
    page11
    treeJournal of Urban Planning and Development:;2021:;Volume ( 147 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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