空间形态与绿化因素对夏季胡同居民社会聚集的影响
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摘要
以国子监、雍和宫所在街区为例,实地调研记录夏季北京胡同中居民一天的社会聚集情况,并应用空间句法软件对两个街区聚集空间分布规律进行量化对比研究,同时将绿化因素纳入指标体系来综合量化社会聚集的影响因素。研究结果表明,社会聚集空间分布受到街区形态的影响,且通达性较好的胡同空间往往同时具有较高的绿化率和宽度,对社会聚集的发生有明显的支持作用。在现有研究的基础上通过不同街区案例的对比,测试各影响因素的稳定性,进一步揭示了空间句法描述的街区形态因素对其他各因素综合发生影响的作用机制。
Using the space syntax tool, this paper analyzes social gatherings of residents in Beijing's two neighborhoods: the Imperial College and the Lama Temple in summer. Greenery coverage and other spatial variants are included in the multi-variant regression analysis. The result suggests that the distribution of social gatherings is affected by the street pattern. Hutong of higher accessibility often has a higher greenery coverage value and greater width, which provide better spatial conditions for social gatherings. By comparing different cases, this paper further demonstrates the validity of different variants and reveals the underlying spatial mechanism of syntactical measurements on other variants.
Using the space syntax tool, this paper analyzes social gatherings of residents in Beijing's two neighborhoods: the Imperial College and the Lama Temple in summer. Greenery coverage and other spatial variants are included in the multi-variant regression analysis. The result suggests that the distribution of social gatherings is affected by the street pattern. Hutong of higher accessibility often has a higher greenery coverage value and greater width, which provide better spatial conditions for social gatherings. By comparing different cases, this paper further demonstrates the validity of different variants and reveals the underlying spatial mechanism of syntactical measurements on other variants.
引文
[1]MEHTAV.LivelyStreets:DeterminingEnvironmental CharacteristicstoSupportSocialBehavior[J].Journalof Planning Education and Research, 2007, 27(2):165-187.
[2]陈泳,赵杏花.基于步行者视角的街道底层界面研究:以上海市淮海路为例[J].城市规划,2014,38(6):24-31.
[3]ZACHARIASJ,STATHOPOULOST,WUH.Spatial BehaviorinSanFrancisco’sPlazas:TheEffectsof Microclimate, Other People, and Environmental Design[J].Environment&Behavior, 2004, 36(5):638-658.
[4]吴昊雯.基于行为注记法的公园使用者时空分布与环境行为研究:以杭州为例[D].杭州:浙江大学,2013.
[5]叶宇,张灵珠,颜文涛,等.街道绿化品质的人本视角测度框架:基于百度街景数据和机器学习的大规模分析[J].风景园林,2018,25(8):24-29.
[6]刘星,盛强,杨振盛.步行通达性对街区空间活力与交往的影响[J].上海城市规划,2017(1):56-61.
[7]徐磊青,刘宁,孙澄宇.广场尺度与社会品质:广场的面积、高宽比、视角与停留活动关系的虚拟研究[J].建筑学报,2013(S1):158-162.
[8]徐磊青,孟若希,陈筝.迷人的街道:建筑界面与绿视率的影响[J].风景园林,2017(10):27-33.
[9]徐磊青,江文津,陈筝.公共空间安全感研究:以上海城市街景感知为例[J].风景园林,2018,25(7):23-29.
[10] DAVID M M, PENN A, HILLIER B. The Urban Village and the City of Tomorrow Revisited[C]. Brasilia:the second International Space Syntax Symposium Proceedings, 1999, 2(52):1-18.
[11]PENNA,DESYLLASJ,VAUGHANL.TheSpaceof Innovation:InteractionandCommunicationintheWork Environment[C].London:thefirstInternationalSpace Syntax Symposium Proceedings, 1997, 1(12):1-24.
[12]刘星.北京街区居民社会聚集的空间句法分析[D].北京:北京交通大学,2018.
[13]HILLIER B, YANG T, TURNER A. Advancing DepthMap to advance our understanding of cities:comparing streets andcities,andstreetstocities[C].Santiago:Eighth International Space Syntax Symposium, 2012.
[14]盛强,杨振盛,路安华,等.网络开放数据在城市商业活力空间句法分析中的应用[J].新建筑,2018(3):9-14.
[2]陈泳,赵杏花.基于步行者视角的街道底层界面研究:以上海市淮海路为例[J].城市规划,2014,38(6):24-31.
[3]ZACHARIASJ,STATHOPOULOST,WUH.Spatial BehaviorinSanFrancisco’sPlazas:TheEffectsof Microclimate, Other People, and Environmental Design[J].Environment&Behavior, 2004, 36(5):638-658.
[4]吴昊雯.基于行为注记法的公园使用者时空分布与环境行为研究:以杭州为例[D].杭州:浙江大学,2013.
[5]叶宇,张灵珠,颜文涛,等.街道绿化品质的人本视角测度框架:基于百度街景数据和机器学习的大规模分析[J].风景园林,2018,25(8):24-29.
[6]刘星,盛强,杨振盛.步行通达性对街区空间活力与交往的影响[J].上海城市规划,2017(1):56-61.
[7]徐磊青,刘宁,孙澄宇.广场尺度与社会品质:广场的面积、高宽比、视角与停留活动关系的虚拟研究[J].建筑学报,2013(S1):158-162.
[8]徐磊青,孟若希,陈筝.迷人的街道:建筑界面与绿视率的影响[J].风景园林,2017(10):27-33.
[9]徐磊青,江文津,陈筝.公共空间安全感研究:以上海城市街景感知为例[J].风景园林,2018,25(7):23-29.
[10] DAVID M M, PENN A, HILLIER B. The Urban Village and the City of Tomorrow Revisited[C]. Brasilia:the second International Space Syntax Symposium Proceedings, 1999, 2(52):1-18.
[11]PENNA,DESYLLASJ,VAUGHANL.TheSpaceof Innovation:InteractionandCommunicationintheWork Environment[C].London:thefirstInternationalSpace Syntax Symposium Proceedings, 1997, 1(12):1-24.
[12]刘星.北京街区居民社会聚集的空间句法分析[D].北京:北京交通大学,2018.
[13]HILLIER B, YANG T, TURNER A. Advancing DepthMap to advance our understanding of cities:comparing streets andcities,andstreetstocities[C].Santiago:Eighth International Space Syntax Symposium, 2012.
[14]盛强,杨振盛,路安华,等.网络开放数据在城市商业活力空间句法分析中的应用[J].新建筑,2018(3):9-14.