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Influence of Visual Proportion of Urban Street Cultural Landscape on Crowd Aggregation —— An Empirical Study on Street Space in Downtown Chengdu

Received: 31 July 2020    Accepted: 14 August 2020    Published: 27 August 2020
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Abstract

This paper explored the correlation between the visual proportion of urban street cultural landscape and crowd aggregation. In the study, the relevant theoretical assumptions and measurement scales were established first; Then the street panoramic images of 535 sampling points were obtained through systematic sampling and field shooting; Easygo and POI (Points of Interest) data of the research area collected every two hours within one week were picked up through big data capture; Finally, the driving force of geographical differentiation was detected by using the geographic detector. The results showed that: (1) in the artificial landscape, the visual proportion of architectural landscape had a significant impact on crowd aggregation and the explanatory power q was 0.15. Neither the visual proportion of roadway landscape nor that of sidewalk landscape had significant impact on crowd aggregation; (2) In the natural landscape, both the visual proportion of greenery landscape and that of sky landscape had significant impact on crowd aggregation and the explanatory power q was 0.09 and 0.05 respectively; (3) The interaction between the visual proportion of architectural landscape and that of greenery landscape or between the former and that of sky landscape showed a two-factor enhancement and the interaction between the visual proportion of greenery landscape and that of sky landscape showed non-linear enhancement; (4) There were significant two-factor enhancement effects in the interactions among the the visual proportion of architectural landscape, that of greenery landscape, of sky landscape and aggregation of POI facilities, of which the biggest q value was 0.76.

Published in Urban and Regional Planning (Volume 5, Issue 3)
DOI 10.11648/j.urp.20200503.11
Page(s) 77-87
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Urban Street, Cultural Landscape, Crowd Aggregation, POI, Geographic Detector, Downtown Chengdu

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Cite This Article
  • APA Style

    Zhang Ling Qing, Deng Wei, Zhang Cheng Yan, Ding Yu Hui, Wan Jiang Jun. (2020). Influence of Visual Proportion of Urban Street Cultural Landscape on Crowd Aggregation —— An Empirical Study on Street Space in Downtown Chengdu. Urban and Regional Planning, 5(3), 77-87. https://doi.org/10.11648/j.urp.20200503.11

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    ACS Style

    Zhang Ling Qing; Deng Wei; Zhang Cheng Yan; Ding Yu Hui; Wan Jiang Jun. Influence of Visual Proportion of Urban Street Cultural Landscape on Crowd Aggregation —— An Empirical Study on Street Space in Downtown Chengdu. Urban Reg. Plan. 2020, 5(3), 77-87. doi: 10.11648/j.urp.20200503.11

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    AMA Style

    Zhang Ling Qing, Deng Wei, Zhang Cheng Yan, Ding Yu Hui, Wan Jiang Jun. Influence of Visual Proportion of Urban Street Cultural Landscape on Crowd Aggregation —— An Empirical Study on Street Space in Downtown Chengdu. Urban Reg Plan. 2020;5(3):77-87. doi: 10.11648/j.urp.20200503.11

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  • @article{10.11648/j.urp.20200503.11,
      author = {Zhang Ling Qing and Deng Wei and Zhang Cheng Yan and Ding Yu Hui and Wan Jiang Jun},
      title = {Influence of Visual Proportion of Urban Street Cultural Landscape on Crowd Aggregation —— An Empirical Study on Street Space in Downtown Chengdu},
      journal = {Urban and Regional Planning},
      volume = {5},
      number = {3},
      pages = {77-87},
      doi = {10.11648/j.urp.20200503.11},
      url = {https://doi.org/10.11648/j.urp.20200503.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20200503.11},
      abstract = {This paper explored the correlation between the visual proportion of urban street cultural landscape and crowd aggregation. In the study, the relevant theoretical assumptions and measurement scales were established first; Then the street panoramic images of 535 sampling points were obtained through systematic sampling and field shooting; Easygo and POI (Points of Interest) data of the research area collected every two hours within one week were picked up through big data capture; Finally, the driving force of geographical differentiation was detected by using the geographic detector. The results showed that: (1) in the artificial landscape, the visual proportion of architectural landscape had a significant impact on crowd aggregation and the explanatory power q was 0.15. Neither the visual proportion of roadway landscape nor that of sidewalk landscape had significant impact on crowd aggregation; (2) In the natural landscape, both the visual proportion of greenery landscape and that of sky landscape had significant impact on crowd aggregation and the explanatory power q was 0.09 and 0.05 respectively; (3) The interaction between the visual proportion of architectural landscape and that of greenery landscape or between the former and that of sky landscape showed a two-factor enhancement and the interaction between the visual proportion of greenery landscape and that of sky landscape showed non-linear enhancement; (4) There were significant two-factor enhancement effects in the interactions among the the visual proportion of architectural landscape, that of greenery landscape, of sky landscape and aggregation of POI facilities, of which the biggest q value was 0.76.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Influence of Visual Proportion of Urban Street Cultural Landscape on Crowd Aggregation —— An Empirical Study on Street Space in Downtown Chengdu
    AU  - Zhang Ling Qing
    AU  - Deng Wei
    AU  - Zhang Cheng Yan
    AU  - Ding Yu Hui
    AU  - Wan Jiang Jun
    Y1  - 2020/08/27
    PY  - 2020
    N1  - https://doi.org/10.11648/j.urp.20200503.11
    DO  - 10.11648/j.urp.20200503.11
    T2  - Urban and Regional Planning
    JF  - Urban and Regional Planning
    JO  - Urban and Regional Planning
    SP  - 77
    EP  - 87
    PB  - Science Publishing Group
    SN  - 2575-1697
    UR  - https://doi.org/10.11648/j.urp.20200503.11
    AB  - This paper explored the correlation between the visual proportion of urban street cultural landscape and crowd aggregation. In the study, the relevant theoretical assumptions and measurement scales were established first; Then the street panoramic images of 535 sampling points were obtained through systematic sampling and field shooting; Easygo and POI (Points of Interest) data of the research area collected every two hours within one week were picked up through big data capture; Finally, the driving force of geographical differentiation was detected by using the geographic detector. The results showed that: (1) in the artificial landscape, the visual proportion of architectural landscape had a significant impact on crowd aggregation and the explanatory power q was 0.15. Neither the visual proportion of roadway landscape nor that of sidewalk landscape had significant impact on crowd aggregation; (2) In the natural landscape, both the visual proportion of greenery landscape and that of sky landscape had significant impact on crowd aggregation and the explanatory power q was 0.09 and 0.05 respectively; (3) The interaction between the visual proportion of architectural landscape and that of greenery landscape or between the former and that of sky landscape showed a two-factor enhancement and the interaction between the visual proportion of greenery landscape and that of sky landscape showed non-linear enhancement; (4) There were significant two-factor enhancement effects in the interactions among the the visual proportion of architectural landscape, that of greenery landscape, of sky landscape and aggregation of POI facilities, of which the biggest q value was 0.76.
    VL  - 5
    IS  - 3
    ER  - 

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Author Information
  • Research Center for Mountain Development/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China

  • Research Center for Mountain Development/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China

  • School of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu, China

  • School of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu, China

  • School of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu, China

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