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| EFFECT OF BUILT ENVIRONMENT ON URBAN CONTINUOUS VITALITY IN SHANGHAI: EVIDENCE OF DAYTIME AND NIGHTTIME POPULATION |
| ZHANG Xin-yue1,2, HE Dan3,4, GAO Peng5, LIU Yong6 |
1. School of Geographic Sciences, East China Normal University, Shanghai 200241, China;
2. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
3. Research Center for China Administrative Division, East China Normal University, Shanghai 200241, China;
4. Future City Lab, East China Normal University, Shanghai 200241, China;
5. Institute for Global City, Shanghai Normal University, Shanghai 200234, China;
6. Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200072, China |
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Abstract In response to the goal of establishing a "24-hour dynamic city" in Shanghai, this paper takes the Inner Areas of the Main City of Shanghai (Shanghai IMC) as a case, obtains the daytime and nighttime population data from 2019 to 2021 based on mobile phone signaling data, classifies four types of urban continuous vitality, namely "continuously active", "daytime active", "nighttime active", and "continuously inactive", and depicts the spatial patterns. The study finds that: 1) There are obvious spatial differences and temporal change in the patterns of urban continuous vitality of Shanghai IMC. 2) The urban continuous vitality of Shanghai IMC is significantly positively influenced by functional diversity, traffic-node density, road network diversity, and spatial proximity.
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Received: 16 June 2024
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| [1] |
蒋涤非,李璟兮. 当代城市活力营造的若干思考[J]. 新建筑,2016(1):21-25.[Jiang Difei, Li Jingxi. Several thoughts about the making of vitality in contemporary cities[J]. New Architecture, 2016(1):21-25.]
|
| [2] |
Heath T. The twenty-four hour city concept-A review of initiatives in British cities[J]. Journal of Urban Design, 1997,2(2):193-204.
|
| [3] |
Jacobs J. 美国大城市的死与生[M].金衡山,译.南京:译林出版社, 2020:13,175-176,230-231.[Jacobs J. The Death and Life of Great American Cities[M]. Jin Hengshan, trans. Nanjing:Yilin Press, 2020:13,175-176,230-231.]
|
| [4] |
De Koe D M. Urban Vitality through a Mix of Land-uses and Functions:An Addition to Citymaker[R]. Wageningen:Wageningen University and Research Centre, 2013.
|
| [5] |
Collins A, Greaves S. Daytime population tracking for planning and pollution exposure assessment[J]. Road & Transport Research:A Journal of Australian and New Zealand Research and Practice, 2007, 16(1):55-68.
|
| [6] |
Sulis P, Manley E, Zhong C, et al. Using mobility data as proxy for measuring urban vitality[J]. Journal of Spatial Information Science, 2018(16):137-162.
|
| [7] |
Zeng C, Song Y, He Q, et al. Spatially explicit assessment on urban vitality:Case studies in Chicago and Wuhan[J]. Sustainable Cities and Society, 2018,40:296-306.
|
| [8] |
Mouratidis K, Poortinga W. Built environment, urban vitality and social cohesion:Do vibrant neighborhoods foster strong communities?[J]. Landscape and Urban Planning, 2020, 204:103951. https://doi.org/10.1016/j.landurbplan.2020.103951.
|
| [9] |
Wirth L. Urbanism as a way of life[J]. American Journal of Sociology, 1938,44(1):1-24.
|
| [10] |
Foley D L. The daily movement of population into central business districts[J]. American Sociological Review, 1952,17(5):538-543.
|
| [11] |
Weir T R. Land use and daytime population in metropolitan Winnipeg[J]. Revista Geográfica, 1956,19(45):113-114.
|
| [12] |
李媛,邹永广,杨勇,等.夜间文旅消费聚集区综合活力评价及其影响因素研究——以长三角城市群为例[J]. 人文地理,2023,38(3):182-191.[Li Yuan, Zou Yongguang, Yang Yong, et al. Vitality evaluation of nighttime cultural tourism consumer areas and their influencing factors:Yangtze River Delta Urban Agglomeration[J]. Human Geography, 2023,38(3):182-191.]
|
| [13] |
Freire S, Aubrecht C, Rodrigues A, et al. Improving the planning of public facilities:Considering the spatio-temporal distribution of population[J]. Proceedings of 7VCT, 2011,11:193-196.
|
| [14] |
Sleeter R, Wood N. Estimating daytime and nighttime population density for coastal communities in Oregon[C]//Urban and Regional Information Systems Association (URISA). Urban and Regional Information Systems Association Annual Conference Proceedings. British Columbia, 2006:973-988.
|
| [15] |
Summers W K, Rund D A, Levin M. Psychiatric illness in a general urban emergency room:Daytime versus nighttime population[J]. The Journal of Clinical Psychiatry, 1979,40(8):340-343.
|
| [16] |
刘云舒,赵鹏军,梁进社.基于位置服务数据的城市活力研究——以北京市六环内区域为例[J].地域研究与开发,2018,37(6):64-69, 87.[Liu Yunshu, Zhao Pengjun, Liang Jinshe. Study on urban vitality based on LBS data:A case of Beijing within 6th ring road[J]. Areal Research and Development, 2018,37(6):64-69,87.]
|
| [17] |
塔娜,曾屿恬,朱秋宇,等.基于大数据的上海中心城区建成环境与城市活力关系分析[J]. 地理科学,2020,40(1):60-68.[Ta Na, Zeng Yutian, Zhu Qiuyu, et al. Relationship between built environment and urban vitality in Shanghai downtown area based on big data[J]. Scientia Geographica Sinica, 2020,40(1):60-68.]
|
| [18] |
戚伟,李颖,刘盛和,等. 城市昼夜人口空间分布的估算及其特征——以北京市海淀区为例[J]. 地理学报,2013,68(10):1344-1356.[Qi Wei, Li Ying, Liu Shenghe, et al. Estimation of urban population at daytime and nighttime and analyses of their spatial pattern:A case study of Haidian District, Beijing[J]. Acta Geographica Sinica, 2013,68(10):1344-1356.]
|
| [19] |
杨振山,苏锦华,杨航,等.基于多源数据的城市功能区精细化研究——以北京为例[J]. 地理研究,2021,40(2):477-494.[Yang Zhenshan, Su Jinhua, Yang Hang, et al. Exploring urban functional areas based on multi-source data:A case study of Beijing[J]. Geographical Research, 2021,40(2):477-494.]
|
| [20] |
Nelson H J. A service classification of American cities[J]. Economic Geography, 1955,31(3):189-210.
|
| [21] |
周怡薇,朱文一.伦敦24小时城市政策解读[J].城市设计,2021(3):58-65.[Zhou Yiwei, Zhu Wenyi. A study on London's 24-hour city policies[J]. Urban Design, 2021(3):58-65.]
|
| [22] |
韩会然,许艺哲,王文强,等.社区建成环境对老年人居住满意度的影响研究——以安徽省合肥市为例[J].人文地理,2022,37(6):118-128.[Han Huiran, Xu Yizhe, Wang Wenqiang, et al. The influence of community built environment on the residential satisfaction of the elderly:A case study of Hefei city, Anhui province[J]. Human Geography, 2022,37(6):118-128.]
|
| [23] |
王娜,吴健生,李胜,等.基于多源数据的城市活力空间特征及建成环境对其影响机制研究——以深圳市为例[J]. 热带地理,2021, 41(6):1280-1291.[Wang Na, Wu Jiansheng, Li Sheng, et al. Spatial features of urban vitality and the impact of built environment on them based on multi-source data:A case study of Shenzhen[J]. Tropical Geography, 2021,41(6):1280-1291.]
|
| [24] |
关文川,吴志峰,吴卓,等.基于微信宜出行数据的城市人口活动时空探测及其影响因素分析[J]. 现代城市研究,2021(8):2-9.[Guan Wenchuan, Wu Zhifeng, Wu Zhuo, et al. Study on spatial-temporal detection and influencing factors of urban population activity based on Easygo data[J]. Modern Urban Research, 2021(8):2-9.]
|
| [25] |
李炅之,王梦珂,何丹.社区商业模式选择的思考——以苏州工业园区邻里中心为例[J]. 世界地理研究,2010,19(4):138-144.[Li Jiongzhi, Wang Mengke, He Dan. Choice of the community commercial model:A case study of neighborhood center in Suzhou industrial park[J]. World Regional Studies, 2010,19(4):138-144.]
|
| [26] |
赵广英,宋聚生.城市用地功能混合测度的方法改进[J].城市规划学刊,2022(1):51-58.[Zhao Guangying, Song Jusheng. Improving the measurement of urban land-use mix[J]. Urban Planning Forum, 2022(1):51-58.]
|
| [27] |
范冬婉. 时空大数据支持下的城市活力测量方法及增长策略研究[D].武汉:武汉大学,2019:24-26.[Fan Dongwan. Quantifying Urban Vitality and Its Growth Strategy Using Spatio-temporal Big Data[D]. Wuhan:Wuhan University, 2019:24-26.]
|
| [28] |
石璋铭,江朦朦.并购、融合与高技术企业成长[J].宏观经济研究, 2019(10):78-87.[Shi Zhangming, Jiang Mengmeng. Merger and acquisition, convergence and growth of high-tech enterprises[J]. Macroeconomics, 2019(10):78-87.]
|
| [29] |
季民河,武占云,姜磊.空间面板数据模型设定问题分析[J].统计与信息论坛,2011,26(6):3-9.[Ji Minhe, Wu Zhanyun, Jiang Lei. Issues in spatial panel data model specification[J]. Statistics & Information Forum, 2011,26(6):3-9.]
|
| [30] |
杨秋彬,何丹,高鹏.上海市体验型商业空间格局及其影响因素[J]. 城市问题,2018(3):34-41.[Yang Qiubin, He Dan, Gao Peng. Spatial pattern and influencing factor analysis of experience business in Shanghai[J]. Urban Problems, 2018(3):34-41.]
|
| [31] |
李琪琳,鹿应荣,丁川,等.城市建成环境对出租车出行需求影响研究——基于空间溢出效应的分析[J].交通运输系统工程与信息,2016, 16(5):39-44.[Li Qilin, Lu Yingrong, Ding Chuan, et al. Analysis of the impact of built environment on taxi travel demand considering spatial spillover effect[J]. Journal of Transportation Systems Engineering and Information Technology, 2016,16(5):39-44.]
|
| [32] |
程小云,张学宇,施澄,等.基于多源数据的夜间出行需求空间效应及其异质性分析[J]. 中国公路学报,2021,34(12):288-301.[Cheng Xiaoyun, Zhang Xueyu, Shi Cheng, et al. Analysis of spatial effect and its heterogeneity on night-time travel based on multisource data[J]. China Journal of Highway and Transport, 2021,34(12):288-301.]
|
| [33] |
Yeo I, Johnson A R. A new family of power transformations to improve normality or symmetry[J]. Biometrika, 2000,87(4):954-959.
|
| [34] |
孙立坚. 城市人口集聚时空差异研究[D]. 武汉:武汉大学,2021:35.[Sun Lijian. Study on Spatio-temporal Heterogeneity of Urban Population Agglomeration:A Case Study of the Central Urban Area of Wuhan[D]. Wuhan:Wuhan University, 2021:35.]
|
| [35] |
曹钟茗,甄峰,李智轩,等.基于手机信令数据的城市时间活力模式及影响因素研究——以南京市中心城区为例[J].人文地理,2022, 37(6):109-117.[Cao Zhongming, Zhen Feng, Li Zhixuan, et al. Urban temporal vibrancy mode and its influencing factors based on mobile signaling data:A case study of Nanjing, China[J]. Human Geography, 2022,37(6):109-117.]
|
| [36] |
张宁,张志斌,郭倩倩,等.西北内陆国家级新区城市活力空间格局及影响因素[J]. 干旱区资源与环境,2024,38(4):38-49.[Zhang Ning, Zhang Zhibin, Guo Qianqian, et al. Spatial pattern of urban vitality of national new districts in inland northwest China[J]. Journal of Arid Land Resources and Environment, 2024,38(4):38-49.]
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2025, Vol. 40 
