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  1. K-2. 理工研究域-関連研究施設(研究拠点)
  2. 1. 研究所発行の出版物, 学術雑誌
  3. International Review for Spatial Planning and Sustainable Development(IRSPSD International)
  4. vol.08 issue 3

A Study on Spatial and Temporal Aggregation Patterns of Urban Population in Wuhan City based on Baidu Heat Map and POI Data

https://doi.org/10.24517/00062360
https://doi.org/10.24517/00062360
3053acaf-8752-4593-9844-72c1ad71484a
名前 / ファイル ライセンス アクション
IRSPSD-8-3-101-121.pdf IRSPSD-8-3-101-121.pdf (1.7 MB)
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Item type 学術雑誌論文 / Journal Article(1)
公開日 2021-06-02
タイトル
タイトル A Study on Spatial and Temporal Aggregation Patterns of Urban Population in Wuhan City based on Baidu Heat Map and POI Data
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
ID登録
ID登録 10.24517/00062360
ID登録タイプ JaLC
著者 Shi, Peipei

× Shi, Peipei

WEKO 98042

Shi, Peipei

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Xiao, Yinghui

× Xiao, Yinghui

WEKO 98043

Xiao, Yinghui

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Zhan, Qingming

× Zhan, Qingming

WEKO 98044

Zhan, Qingming

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書誌情報 International Review for Spatial Planning and Sustainable Development
en : International Review for Spatial Planning and Sustainable Development

巻 8, 号 3, p. 101-121, 発行日 2020-07-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 2187-3666
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.14246/irspsda.8.3_101
出版者
出版者 International Community of Spatial Planning and Sustainable Development / SPSD Press
抄録
内容記述タイプ Abstract
内容記述 Advanced technologies and big data have brought new visions and methods to urban planning research. Based on the Baidu heat map and POI data of two typical days (a weekend day and a workday) in 2018, this paper analyses the spatial and temporal aggregation patterns of crowds in the urban centre of Wuhan using ArcGIS. Aggregation patterns are defined by the intensity of population activities and the places where crowds gather. In terms of time, the daily change of population aggregation intensity is studied by counting the heat value of 24 moments captured throughout the day. The results show that on rest days, people prefer to travel around noon and in the afternoon, reaching the highest peak of the day around 15:00, while on workdays, residents' activities are affected by commuting, with obvious 'morning rush hours' and 'evening rush hours'. Firstly, the spatial correlation between the density of POI distribution and the degree of population aggregation has been studied by the spatial coupling relationship between the Baidu heat map and POI data. Secondly, the index of correlation between the aggregation of different POIs and population (ICPP) are mentioned to analyse the purposes and the degrees of aggregation during weekend and workday rush hours. Based on the ICPP, we analyse activities from three aspects: the different ICPPs between the workday and the weekend; the different ICPPs between the morning, afternoon and evening; and the different ICPPs among different POIs.
権利
権利情報 copyright © International Community of Spatial Planning and Sustainable Development / SPSD Press
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
関連URI
識別子タイプ URI
関連識別子 https://spsdpress.jimdofree.com/
関連URI
識別子タイプ URI
関連識別子 https://www.jstage.jst.go.jp/browse/irspsd/list/-char/en
関連URI
識別子タイプ URI
関連識別子 https://www.jstage.jst.go.jp/browse/irspsd
関連URI
識別子タイプ URI
関連識別子 https://kanazawa-u.repo.nii.ac.jp/?action=repository_opensearch&index_id=2491
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