|
|
POTENTIAL PUBLIC CONTACT MEASUREMENT FOR NEIGHBORHOOD SHARED ACTIVITY SPACE STUDIES |
TA Na1,2, LIN Shuting2 |
1. Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China;
2. School of Geographic Sciences, East China Normal University, Shanghai 200241, China |
|
|
Abstract How residents share their activity space around neighborhood is conducive to creating face-to-face social contact among neighbors, thus enhancing social understanding, neighborhood trust and neighborhood integration. Based on behavioral geography theory, this paper proposes a path framework of considering the interaction among physical space, shared activity space and social psychological space. Then this paper constructs a potential public contact analysis method on residents' neighborhood shared activity space studies. Four key aspects in potential public contact analysis are discussed, including structure, level, scale and locations. The extensity and intensity index measurement are proposed to measure potential public contact at both neighborhood level and individual level. This method uses the single-mode and dual-mode networks in the social network analysis to characterize the connections among residents through shared activity locations. Based on the survey data in suburban Shanghai, the paper finds that the extensity of potential public contact is relatively high while the intensity is relatively low. There are significant differences in potential public contact level among different neighborhoods and individuals. This study can provide support for the construction of suburban neighborhood living circles and neighborhood governance.
|
Received: 06 September 2021
|
|
|
|
|
[1] |
柴彦威.人本视角下新型城镇化的内涵解读与行动策略[J].北京规划建设,2014(6):34-36. [Chai Yanwei. The connotation interpretation and action strategies of new urbanization from the perspective of humanism[J]. Beijing Planning Review, 2014(6):34-36.]
|
[2] |
方创琳.中国新型城镇化高质量发展的规律性与重点方向[J].地理 研究 ,2019,38(1):13-22. [Fang Chuanglin. Basic rules and key paths for high-quality development of the new urbanization in China [J]. Geographical Research, 2019,38(1):13-22.]
|
[3] |
叶超,于洁,张清源,等.从治理到城乡治理: 国际前沿,发展态势与中国路径[J]. 地理科学进展,2021,40(1):15-27. [Ye Chao, Yu Jie, Zhang Qingyuan, et al. From governance to rural-urban cogovernance: Research frontiers, trends, and the Chinese paths[J]. Progress In Geography, 2021,40(1):15-27.]
|
[4] |
柴彦威,李春江,张艳.社区生活圈的新时间地理学研究框架[J].地理科学进展,2020,39(12):1961-1971. [Chai Yanwei, Li Chunjiang, Zhang Yan. A new time-geography research framework of community life circle[J]. Progress in Geography, 2020,39(12):1961-1971.]
|
[5] |
奚东帆, 吴秋晴, 张敏清, 等. 面向2040年的上海社区生活圈规划与建设路径探索[J]. 上海城市规划,2017(4):65-69. [Xi Dongfan, Wu Qiuqing, Zhang Minqing, et al. Exploration of planning and construction of community living circle in Shanghai facing 2040[J]. Shanghai Urban Planning Review, 2017(4):65-69.]
|
[6] |
Li J J, Kim C, Sang S. Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors[J]. Journal of Transport Geography, 2018,70(C):141-147.
|
[7] |
Xi W N, Calder C A, Browning C R. Beyond activity space: Detecting communities in ecological networks[J]. Annals of the American Association of Geographers, 2020,110(6):1787-1806.
|
[8] |
刘志林,王茂军. 北京市职住空间错位对居民通勤行为的影响分析——基于就业可达性与通勤时间的讨论[J]. 地理学报,2011, 66(4):457-467. [Liu Zhilin, Wang Maojun. Job accessibility and its impacts on commuting time of urban residents in beijing: From a spatial mismatch perspective[J]. Acta Geographica Sinica, 2011, 66(4):457-467.]
|
[9] |
周素红,宋江宇,宋广文.广州市居民工作日小汽车出行个体与社区双层影响机制[J]. 地理学报,2017,72(8):1444-1457. [Zhou Suhong, Song Jiangyu, Song Guangwen. Examining the dual-levels impact of neighbourhood and individual variables on car use on weekdays in Guangzhou[J]. Acta Geographica Sinica, 2017, 72(8): 1444-1457.]
|
[10] |
钟炜菁,王德.基于居民行为周期特征的城市空间研究[J].地理科学进展,2018,37(8):1106-1118. [Zhong Weijing, Wang De. Urban spa- ce study based on the temporal characteristics of residents' behavior[J]. Progress in Geography, 2018,37(8):1106-1118.]
|
[11] |
Dixon J, Tredoux C, Davies G, et al. Parallel lives: Intergroup contact, threat, and the segregation of everyday activity spaces[J]. Journal of Personality and Social Psychology, 2020,118(3):457-480.
|
[12] |
Vallée J, Cadot E, Roustit C, et al. The role of daily mobility in mental health inequalities: The interactive influence of activity space and neighbourhood of residence on depression[J]. Social Science & Medicine, 2011,73(8):1133-1144.
|
[13] |
Zhang X, Wang J, Kwan M P, et al. Reside nearby, behave apart? Activity-space-based segregation among residents of various types of housing in Beijing, China[J]. Cities, 2019,88:166-180.
|
[14] |
塔娜,柴彦威,关美宝.北京郊区居民日常生活方式的行为测度与空间—行为互动[J]. 地理学报,2015,70(8):1271-1280. [Ta Na, Chai Yanwei, Kwan Mei-Po. Suburbanization, daily lifestyle and space-behavior interaction in Beijing[J]. Acta Geographica Sinica, 2015,70(8):1271-1280.]
|
[15] |
Browning C R, Soller B. Moving beyond neighborhood: Activity spaces and ecological networks as contexts for youth development [J]. Cityscape, 2014,16(1):165-196.
|
[16] |
塔娜,申悦.基于共享度的上海郊区社区居民活动空间隔离及其影响因素[J].地理学报,2020,75(4):849-859. [Ta Na, Shen Yue. Activity space-based segregation among neighbors and its influencing factors: An analysis based on shared activity spaces in suburban Shanghai[J]. Acta Geographica Sinica, 2020,75(4):849-859.]
|
[17] |
Browning C R, Calder C A, Soller B, et al. Ecological networks and neighborhood social organization[J]. American Journal of Sociology, 2017,122(6):1939-1988.
|
[18] |
Lin S, Gaubatz P. Socio-spatial segregation in China and migrants' everyday life experiences: The case of Wenzhou[J]. Urban Geography, 2017,38(7):1019-1038.
|
[19] |
Liu Z L, Tan Y M, Chai Y W. Neighbourhood-scale public spaces, inter-group attitudes and migrant integration in Beijing, China[J]. Urban Studies, 2020,57(12):2491-2509.
|
[20] |
Jacobs J. The Death and Life of Great American Cities[M]. New York: Random House, 1961:1-458.
|
[21] |
Wu J, Ta N, Song Y, et al. Urban form breeds neighborhood vibrancy: A case study using a GPS-based activity survey in suburban Beijing[J]. Cities, 2018,74:100-108.
|
[22] |
Gehl J. The residential street environment[J]. Built Environment, 1980,6(1):51-61.
|
[23] |
Dovidio J F, Gaertner S L, Kawakami K. Intergroup contact: The past, present, and the future[J]. Group Processes & Intergroup Relations, 2003,6(1):5-21.
|
[24] |
Pettigrew T F, Tropp L R. How does intergroup contact reduce prejudice? Meta‐analytic tests of three mediators[J]. European Journal Of Social Psychology, 2008,38(6):922-934.
|
[25] |
Roberts S G B, Dunbar R I M, Pollet T V, et al. Exploring variation in active network size: Constraints and ego characteristics[J]. Social Networks, 2009,31(2):138-146.
|
[26] |
Soller B, Goodkind J R, Greene R N, et al. Ecological networks and community attachment and support among recently resettled refugees [J]. American Journal Of Community Psychology, 2018,61(3-4):332- 343.
|
[27] |
刘志林,廖露,钮晨琳.社区社会资本对居住满意度的影响——基于北京市中低收入社区调查的实证分析[J].人文地理,2015,30(3): 21-27,71. [Liu Zhilin, Liao Lu, Niu Chenlin. Residential satisfaction of community social capital: An empirical study of middle and low income residents in urban Beijing[J]. Human Geography, 2015, 30(3):21-27,71.]
|
[28] |
汪坤,刘臻,何深静.广州封闭社区居民社区依恋及其影响因素[J]. 热带地理,2015,35(3):354-363. [Wang Kun, Liu Zhen, He Shenjing. Residents' community attachment and its determinants in gated communities of Guangzhou[J]. Tropical Geography, 2015, 35(3):354-363.]
|
[29] |
Curley A M. Neighborhood institutions, facilities, and public space: A missing link for Hope VI Residents' Development of Social Capital?[J]. Cityscape, 2010,12(1):33-63.
|
[30] |
Phillips N E, Levy B L, Sampson R J, et al. The social integration of American cities: Network measures of connectedness based on everyday mobility across neighborhoods[J]. Sociological Methods & Research, 2019,50(3):1110-1149.
|
[31] |
杨婕,陶印华,刘志林,等.邻里效应视角下社区交往对生活满意度的影响——基于北京市26个社区居民的多层次路径分析[J].人文地理,2021,36(2):27-34,54. [Yang Jie, Tao Yinhua, Liu Zhilin, et al. Associations of social interaction with life satisfaction under the notion of neighborhood effect: A multilevel path analysis for residents from 26 residential communities in Beijing[J]. Human Geography, 2021,36(2):27-34,54.]
|
[32] |
刘志林,王晓梦,马静.转型期北京社区公共空间对邻里交往的影响机理: 本地居民与移民的对比分析[J].地理科学,2020,40(1):69- 78. [Liu Zhilin, Wang Xiaomeng, Ma Jing. The influence of public spaces on neighborhood social interaction in transitional urban beijing: Comparing local residents and migrants[J]. Scientia Geographica Sinica, 2020,40(1):69-78.]
|
[33] |
陈竹,叶珉.什么是真正的公共空间?——西方城市公共空间理论与空间公共性的判定[J]. 国际城市规划,2009,24(3):44-49. [Chen Zhu, Ye Min. What is authentic urban public space?: A review of western public space theories and a evaluation of the "publicness" of public space[J]. Urban Planning International, 2009,24(3):44-49.]
|
[34] |
Piekut A, Valentine G. Spaces of encounter and attitudes towards difference: A comparative study of two European cities[J]. Social Science Research, 2017,62:175-188.
|
[35] |
Matejskova T, Leitner H. Urban encounters with difference: The contact hypothesis and immigrant integration projects in eastern Berlin[J]. Social & Cultural Geography, 2011,12(7):717-741.
|
[36] |
Robins G, Alexander M. Small worlds among interlocking directors: Network structure and distance in bipartite graphs[J]. Computational & Mathematical Organization Theory, 2004,10(1):69-94.
|
[37] |
Li F, Wang D. Measuring urban segregation based on individuals' daily activity patterns: A multidimensional approach[J]. Environment and Planning A: Economy and Space, 2017,49(2):467-486.
|
[38] |
Tribby C P, Miller H J, Brown B B, et al. Geographic regions for assessing built environmental correlates with walking trips: A comparison using different metrics and model designs[J]. Health & Place, 2017,45:1-9.
|
[39] |
Zhao M X, Wang Y M. Measuring segregation between rural migrants and local residents in urban China: An integrated spatiosocial network analysis of Kecun in Guangzhou[J]. Environment and Planning B: Urban Analytics and City Science, 2018,45(3):417- 433.
|
[40] |
宋伟轩,毛宁,陈培阳,等.基于住宅价格视角的居住分异耦合机制与时空特征——以南京为例[J]. 地理学报,2017,72(4):589-602. [Song Weixuan, Mao Ning, Chen Peiyang, et al. Coupling mechanism and spatial-temporal pattern of residential differentiation from the perspective of housing prices: A case study of Nanjing[J]. Acta Geographica Sinica, 2017,72(4):589-602.]
|
[41] |
张文佳,季纯涵,谢森锴.复杂网络视角下时空行为轨迹模式挖掘研究[J].地理科学,2021,41(9):1505-1514. [Zhang Wenjia, Ji Chunhan, Xie Senkai. Pattern mining of spatio-temporal behavior trajectories by complex network analysis[J]. Scientia Geographica Sinica, 2021,41(9):1505-1514.]
|
[42] |
Zhang W, Thill J C. Detecting and visualizing cohesive activitytravel patterns: A network analysis approach[J]. Computers, Environment and Urban Systems, 2017,66:117-129.
|
|
|
|