基于“显隐互鉴”的公共空间活力评价研究——以西安市公园绿地为例

杨茗涵, 黄晓军, 宋涛

人文地理 ›› 2023, Vol. 38 ›› Issue (5) : 118-125,192.

PDF(14590 KB)
PDF(14590 KB)
人文地理 ›› 2023, Vol. 38 ›› Issue (5) : 118-125,192. DOI: 10.13959/j.issn.1003-2398.2023.05.014
城市

基于“显隐互鉴”的公共空间活力评价研究——以西安市公园绿地为例

  • 杨茗涵1, 黄晓军1,2,3, 宋涛1
作者信息 +

A STUDY ON THE EVALUATION OF URBAN PUBLIC SPACE VITALITY BASED ON "EXPLICIT AND IMPLICIT MUTUAL LEARNING": A CASE OF PARK GREEN SPACE IN XI'AN

  • YANG Ming-han1, HUANG Xiao-jun1,2,3, SONG Tao1
Author information +
文章历史 +

摘要

本文以西安市公园绿地为例,整合城市公共空间的实体属性与虚拟属性,提出“显隐互鉴”的城市公共空间活力分析框架与评价指标体系,基于多源大数据对其活力进行评价,揭示显性与隐性活力的协同类型及隐性活力的显性化机制。主要结论:①显性活力和隐性活力均呈现综合公园>专类公园>社区公园的特征,显性活力高—低值空间分布表现为“中心—外围”结构,隐性活力无明显空间分布规律;②显性活力与隐性活力形成4种高低值匹配类型,高显—高隐公园人气与活力极强,分布于城市二环内,高显—低隐公园具有稳定的人群基础,分布于二、三环之间,低显—高隐为新兴起公园,分布于三环外东北部地域,低显—低隐公园活力最低,分布于二环外北部及三环外南部地域;③隐性活力对显性活力存在正向影响关系,用户评价在隐性活力的显性化过程中起到部分中介作用。

Abstract

Enhancing the vitality of urban public space is an important way to promote the high-quality development of cities and the construction of high-quality living space. This paper integrates the physical and virtual attributes of urban public space, proposes a framework for analysing the vitality of urban public space and an evaluation index system of "obvious and hidden mutual reference", and evaluates the vitality of parks and green spaces in Xi'an based on multi-source big data as an example, revealing the type of synergy between explicit and implicit vitality as well as the mechanism of revealing hidden vitality, thus proposing strategies to enhance the vitality of urban public space. The main conclusions include: 1) both explicit and implicit vitality show the characteristics of comprehensive parks>special parks>community parks, the spatial distribution of high and low values of explicit vitality shows the structure of "centre-periphery"; 2) explicit vitality and implicit vitality form four types of high and low values, which are the same as those in other urban public spaces. 3) Hidden vitality has a positive influence on explicit vitality, and user evaluation plays a partly intermediary role in the process of manifestation of hidden vitality.

关键词

公共空间 / 活力评价 / 公园绿地 / 西安市

Key words

public space / vitality evaluation / park green space / Xi'an

引用本文

导出引用
杨茗涵, 黄晓军, 宋涛. 基于“显隐互鉴”的公共空间活力评价研究——以西安市公园绿地为例[J]. 人文地理. 2023, 38(5): 118-125,192 https://doi.org/10.13959/j.issn.1003-2398.2023.05.014
YANG Ming-han, HUANG Xiao-jun, SONG Tao. A STUDY ON THE EVALUATION OF URBAN PUBLIC SPACE VITALITY BASED ON "EXPLICIT AND IMPLICIT MUTUAL LEARNING": A CASE OF PARK GREEN SPACE IN XI'AN[J]. HUMAN GEOGRAPHY. 2023, 38(5): 118-125,192 https://doi.org/10.13959/j.issn.1003-2398.2023.05.014
中图分类号: TU986   

参考文献

[1] 习近平. 国家中长期经济社会发展战略若干重大问题[EB/OL]. (2020-04-10)[2020-10-31]. http://www.nopss.gov.cn/n1/2020/1102/c432288-31915415.html.[Xi Jinping. Some major issues in the national medium and long-term economic and social development strategy[EB/OL]. (2020-04-10)[2020-10-31]. http://www.nopss.gov.cn/n1/2020/1102/c432288-31915415.html.]
[2] 王晓梦,刘志林,谭一洺. 城市公共空间与移民跨群体融合研究——时空间行为视角的研究综述[J].人文地理,2022,37(6):47-55.[Wang Xiaomeng, Liu Zhilin, Tan Yiming. Public space and migrants' social integration:A review from the perspective of spacetime behaviors[J]. Human Geography, 2022,37(6):47-55.]
[3] Carr S, Francis M, Rivlin L, et al. Public Space (Cambridge Series in Environment and Behavior)[M]. New York:Cambridge University Press, 1993:1-420.
[4] 叶宇,庄宇,张灵珠,等.城市设计中活力营造的形态学探究——基于城市空间形态特征量化分析与居民活动检验[J]. 国际城市规划, 2016(1):26-33.[Ye Yu, Zhuang Yu, Zhang Lingzhu. Designing urban spatial vitality from morphological perspective:A study based on quantified urban morphology and activities' testing[J]. Urban Planning International, 2016(1):26-33.]
[5] 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.]
[6] 蒋涤非. 城市形态活力论[M]. 南京:东南大学出版社,2007:1-286.[Jiang Difei. The Vitality Theory of Urban Form[M]. Nanjing:Southeast University Press, 2007:1-286.]
[7] 龙瀛,周垠.街道活力的量化评价及影响因素分析:以成都为例[J]. 新建筑,2016(7):52-57.[Long Ying, Zhou Yin. Quantitative evaluation on street vibrancy and its impact factors:A case study of Chengdu[J]. New Architecture, 2016(7):52-57.]
[8] 罗桑扎西,甄峰. 基于手机数据的城市公共空间活力评价方法研究:以南京市公园为例[J]. 地理研究,2019,38(7):1594-1608.[Luo Sangzhaxi, Zhen Feng. How to evaluate public space vitality based on mobile phone data:An empirical analysis of Nanjing's parks[J]. Geographical Research, 2019,38(7):1594-1608.]
[9] 王波,甄峰,张姗琪,等.空气污染对城市活力的影响及其建成环境异质性——基于大数据的分析[J]. 地理研究,2021,40(7):1935- 1948.[Wang Bo, Zhen Feng, Zhang Shanqi, et al. The impact of air pollution on urban vibrancy and its built environment heterogeneity:An empirical analysis based on big data[J]. Geographical Research, 2021,40(7):1935-1948.]
[10] Chao W, Ye X Y, Fu R, et al. Check-in behaviour and spatiotemporal vibrancy:An exploratory analysis in Shenzhen, China[J]. Cities, 2018,77:104-116.
[11] 吴志强,叶锺楠.基于百度地图热力图的城市空间结构研究——以上海中心城区为例[J]. 城市规划,2016,40(4):33-40.[Wu Zhiqiang, Ye Zhongnan. Research on urban spatial structure based on Baidu Heat Map:A case study on the central city of Shanghai[J]. City Planning Review, 2016,40(4):33-40.]
[12] 钮心毅,吴莞姝,李萌.基于LBS定位数据的建成环境对街道活力的影响及其时空特征研究[J]. 国际城市规划,2019,34(1):28-37.[Niu Xinyi, Wu Wanshu, Li Meng. Influence of built environment on street vitality and its spatiotemporal characteristics based on LBS positioning data[J]. Urban Planning International, 2019,34(1):28-37.]
[13] 雷依凡,路春燕,苏颖等.基于多源夜间灯光数据的城市活力与城市扩张耦合关系研究——以海峡西岸城市群为例[J].人文地理, 2022,37(2):119-131.[Lei Yifan, Lu Chunyan, Su Ying, et al. Research on the coupling relationship between urban vitality and urban sprawl based on the multi-source nighttime light data:A case study of the west Taiwan strait urban agglomeration[J]. Human Geography, 2022,37(2):119-131.]
[14] 王建国. 包容共享、显隐互鉴、宜居可期——城市活力的历史图景和当代营造[J].城市规划,2019,43(12):9-16.[Wang Jianguo. Inclusiveness and sharing, explicit and implicit mutual learning, livability predicted:Historical prospect and contemporary creation of urban vitality[J]. City Planning Review, 2019,43(12):9-16.]
[15] 麦夸尔·斯科特.地理媒介:网络化城市与公共空间的未来[M].潘霁,译.上海:复旦大学出版社,2019:1-180.[Mcquire S. Geomedia:Networked Cities and the Future of Public Space[M]. Pan Ji, trans. Shanghai:Fudan University Press, 2019:1-180.]
[16] Jacobs J. The Death and Life of Great American Cities[M]. New York City:Vintage Books, 1961:1-448.
[17] Lynch K. Good City Form[M]. Cambridge, MA:MIT Press, 1984:1-524.
[18] Bentley L, Alcock A, Murrian P, et al. Responsive environment:A Manual for Designers[M]. London:Architecture Press, 1985:1-151.
[19] 扬·盖尔.交往与空间[M].北京:中国建筑工业出版社,1992:1-203.[Jan Gehl. Life Between buildings[M]. Beijing:China Construction Industry Press, 1992:1-203.]
[20] 汪海,蒋涤非.城市公共空间活力评价体系研究[J].铁道科学与工程学报,2012,9(1):56-60.[Wang Hai, Jiang Difei. Evaluation system research on vitality of urban public space[J]. Journal of Railway Science and Engineering, 2012,9(1):56-60.]
[21] 王玉琢. 基于手机信令数据的上海中心城区城市空间活力特征评价及内在机制研究[D].上海:东南大学,2017:1-125.[Wang Yuzhuo. Research on Urban Spatial Vitality Characteristic Evaluation and Internal Mechanism of Shanghai Central City Based on Mobile Phone Signaling Data[D]. Shanghai:Southeast University, 2017:1- 125.]
[22] 刘颂,赖思琪.大数据支持下的城市公共空间活力测度研究[J].风景园林,2019,26(5):24-28.[Liu Song, Lai Siqi. Measurement of urban public space vitality based on big data[J]. Landscape Architecture, 2019,26(5):24-28.]
[23] 伊恩·本特利.建筑环境共鸣设计[M].大连:大连理工大学出版社, 2002:1-223.[Ian Bentley. Resonant Design for the Built Environment[M]. Dalian:Dalian University of Technology Press, 2002:1- 223.]
[24] 李研,金慧贞,李东进.社交网络情境下消费者口碑生成的影响因素模型:基于真实口碑文本的扎根研究[J].南开管理评论,2018,21(6):83-94.[Li Yan, Jin Huizhen, Li Dongjin. The factor model of consumers' word-of-mouth generation in social networks:Based on grounded theory and analysis of true word-of-mouth texts[J]. Nankai Business Review, 2018,21(6):83-94.]
[25] 秦萧,甄峰,朱寿佳,等.基于网络口碑度的南京城区餐饮业空间分布格局研究——以大众点评网为例[J].地理科学,2014,34(7):810- 817.[Qin Xiao, Zhen Feng, Zhu Shoujia, et al. Spatial pattern of catering industry in nanjing urban area based on the degree of public praise from internet:A case study of dianping.com[J]. Scientia Geographica Sinica, 2014,34(7):810-817.]
[26] 李立.红人经济中的消费者信任研究——基于KOL与KOC视角[J].商业经济研究,2022(6):95-98.[Li Li. A study of consumer trust in the redneck economy:Based on KOL and KOC perspectives[J]. Journal of Commercial Economics, 2022(6):95-98.]

基金

国家自然科学基金项目(41971178); 陕西省地表系统与环境承载力重点实验室开放基金项目(SKLESS201807)

PDF(14590 KB)

Accesses

Citation

Detail

段落导航
相关文章

/