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

Zhang Ling Qing; Deng Wei; Zhang Cheng Yan; Ding Yu Hui; Wan Jiang Jun

doi:doi:10.11648/j.urp.20200503.11

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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

Zhang Ling Qing, Deng Wei, Zhang Cheng Yan, Ding Yu Hui, Wan Jiang Jun

Published in Urban and Regional Planning (Volume 5, Issue 3)

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), 2020. Published by Science Publishing Group

Keywords

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

References

[1]	Wu Z. Q., Li D. H. Principles of Urban Planning [M]. Beijing: China Construction Industry Press, 2010.
[2]	Wu Z. Q., Yang X., Liu W. Intellectual or Physical Urbanization —— Strategic Thinking on Urbanization in China [J]. Urban Planning Journal, 2015 (01): 15-23.
[3]	Liu Y. L., Zhang Y., Zhang Y., et al. Spatial Patterns and Influencing Factors of "Third Line Conflict" in Mega-City [J]. Advances in Geography, 2018 (12): 1672-1681.
[4]	Zhu X. G., Zhou Y., Wang H. C. Minimally Invasive Planning under Strong Stock Constraints —— Dialectical Thinking and Innovation based on Master Planning Paradigm [J].] Planners, 2018 (04): 75-82.
[5]	Tao H. Y., Zhou S. L., Zhuo Li. Group Decision-making for Orderly Transformation of Villages in Cities —— A Case Study of the Transformation of Urban Villages in Guangzhou City [J].] Geographic Studies, 2014 (07): 1207-1216.
[6]	Huang W. W., Yuan Z. J. Social and Cultural Investigation on the Transformation of Place, Locality and Urban Villages —— A Case Study of Liede Village [J].] Human Geography, 2015 (03): 42-49.
[7]	Wu C., Ding N. Development Planning of King's Cross Central District and Urban Renaissance in London [J]. Beijing Planning and Construction, 2017 (01): 86-90.
[8]	Scott A J. Land Redevelopment and the Built Environment in Third-Wave Cities: Review and Synthesis [J]. Journal of urban technology, 2019 (1): 57-81.
[9]	Li Q., Pan L., Chen L. L. Study on Urban Center Renewal from the Cultural Renaissance View: A Case Study of Shanghai Zhenru Area [J]. Modern Urban Research, 2019 (03): 68-74.
[10]	Zhang M. R. Coupstrategies Of Urban Public Space Design in the Revival of Historic Areas in the old City Centre [J]. Architecture and Culture, 2017 (03): 190-192.
[11]	Radosavljevic U., đorđevic A., Lalovic K., et al. Nodes and Networks: The Generative Role of Cultural Heritage for Urban Revival in Kikinda [J]. Sustainability, 2019 (9): 2509.
[12]	Cheng L. Q. On the Non-motorized Traffic Development in Dalian [J]. Technology & Economy in Areas of Communications, 2019 (01): 14-17.
[13]	He Y. Wang L. Y., Wang X., et al. Development and Experience Reference of Non-motorized Traffic [J]. Urban Public Transport, 2019 (02): 31-34.
[14]	MICHAEL R. G., Wang Z. Y. To Pursue Delicate Street Design- Discussion on Streetscape Guidance: A Guide to Better London Streets [J]. Urban Transport, 2015 (04): 56-64.
[15]	Zhang L. Q., Deng W., Yan J., et al. The Influence of Multi-Dimensional Cognition on the Formation of the Sense of Place in an Urban Riverfront Space [J]. Sustainability, 2019 (1): 178.
[16]	Long Y., Zhou Y. Pictorial Urbanism: ANew Approach For Human Scale Urban Morphology Study [J]. Planners, 2017 (02): 54-60.
[17]	Li Z., Long Y. An Analysis on Variation of Quality of Street Space in Shrinking Cities Based on Dynamic Street View Pictures Recognition: A Case Study of Qiqihaer [J]. Urban Architecture, 2018 (06): 21-25.
[18]	Duan Y. M., Liu Y., Liu X. H., et al. Measuring Polycentric Urban Structure Using Easygo Big Data: A Case Study of Chongqing Metropolitan Area [J]. Progress in Geography, 2019 (12): 1957-1967.
[19]	Wu Z. Q., Ye Z. N. Research on Urban Spatial Structure Based on Baidu Heat Map: A Case Study on the Central City of Shanghai [J]. Urban Planning, 2016 (04): 33-40.
[20]	Zhang Y., Li C. J., Huang J. Y., et al. Spatial Characteristics of Jobs- housing Relationship of Beijing City Based on Multi- source Data Integration [J]. Urban Development Studies, 2019 (12): 37-45.
[21]	Gu C. L. Introduction to Human Geography [M]. Beijing: Science Press, 2012.
[22]	Paul B. Environmental Psychology [M]. Beijing: Renmin University Press, 2009.
[23]	Kevin L. Image of the City [M]. Taiwan: Yuanliu Publishing Co., Ltd., 2014.
[24]	Liu L., Zhou B., Zhao J., et al. C-IMAGE: city cognitive mapping through geo-tagged photos [J]. Geojournal, 2016 (6): 817-861.
[25]	Zhang F., Zhang D., Liu Y., et al. Representing place locales using scene elements [J]. Computers Environment &Urban Systems, 2018 (71): 153-164.
[26]	Wu L. Y. Introduction to Sciences of Human Settlements [M]. Beijing: China Construction Industry Press, 2001.
[27]	Guo H., Guo Yo. P., Cui N. N. Research on Typical Population Aggregation Districts in the Beijing 's Sixth Ring Road Based on Baidu Heat Map and Points of Interest [J]. Urban Development Studies, 2018 (12): 107-112.
[28]	Wang J. F., Xu C. D. Geodetectors: Principles and Prospects [J]. Acta Geographica Sinica, 2017 (01): 116-134.
[29]	Wang J. F., Li X. H, Christakos G, et al. Geographical Detectors-Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China [J]. International Journal of Geographical Information Science, 2010 (1-2): 107-127.
[30]	Cao F., Ge Y., Wang J. F. Optimal discretization for geographical detectors-based risk assessment [J]. Giscience & Remote Sensing, 2013 (1): 78-92.
[31]	Ye Y., Dai X. L. Spatial Perception and Design Potentials in the Context of New Analytical Techniques and New Data [J]. Time Architecture, 2017 (05): 6-13.
[32]	Liu X., Sheng Q., Yang Z. S. A Feasibility Study of Streets View Map on Street Quality Evaluation [J]. Urbanism and Architecture, 2018 (06): 40-43.
[33]	Tang J. X., Long Y., Zhai W., Ma X. T. Measuring Quality of Street Space, Its Temporal Variation and Impact Factors: An Analysis Based on Massive Street View Pictures [J]. New Architecture, 2016 (05): 110-115.
[34]	Dou W. S., Wang C. X., Xue M. Y., et al. Identification and evaluation of urban functional land based on POI data: A case study of five districts in Jinan [J]. World Regional Studies, 2020, 29 (4): 804-813.
[35]	Chen D. Q., Lan Z. Y. Study on ldentification of Urban Center System and Boundary Extraction Based on POI Data: A Case Study of Six Center Districts of Changsha [J]. Modern Urban Research, 2020 (04): 82-89.

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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

Zhang Ling Qing

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

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

School of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu, China
Ding Yu Hui

School of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu, China
Wan Jiang Jun

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

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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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