Research on the Delineation of Old City Reenewal Areas Based on Spatial Quality Granularity:Taking the Historical City Area of Hohhot as an Example
-
摘要: 针对城市空间品质研究尺度敏感性低、研究落地性弱的问题,在最佳分析粒度的基础上依据空间品质特征划定更新区域,成为城市品质指导城市更新的有效途径。选取呼和浩特市历史城区为研究对象,基于空间品质测度指标的空间自相关性探索历史城区空间品质的最佳空间粒度,识别空间品质的分布特征;根据历史城区的主客观品质的空间分异特征、差异及内在影响机制来指导城市更新区域划定。结果显示:1)350~400 m为呼和浩特市旧城空间品质研究的最佳空间粒度;2)依据客观空间品质特征划定更新区域,即重点改造、鼓励改造、一般改造和保留区,再依据主客观空间品质匹配度指数确定更新时序,即近期、中期和远期改善区;3)依据客观建成环境指标对主观品质的影响机制识别更新区域类型,对应更新途径。研究技术逻辑的构建对空间规划实践过程中划定更新区域、明确更新时序、找准更新途径具有理论与实践意义。Abstract: Addressing the issues of low sensitivity to scale and weak applicability in research on urban spatial quality, defining update areas based on spatial quality characteristics at the optimal analysis granularity has become an effective way for urban quality to guide urban renewal. The article selects the historical urban area of Hohhot as the research object, explores the optimal spatial granularity of spatial quality in the historical urban area based on spatial autocorrelation measurement indicators, and identifies the distribution characteristics of spatial quality; guiding the delineation of urban renewal areas based on the spatial differentiation characteristics, differences, and internal influencing mechanisms of the subjective and objective qualities of historical urban areas. The results show that: 1)350~400 m is the optimal spatial granularity for studying the spatial quality of the old city in Hohhot. 2)Based on the objective spatial quality characteristics, the update areas are defined as key renovation, encouraged renovation, general renovation, and reserved areas. Then, the update timing is determined based on the subjective and objective spatial quality matching index, namely the short-term, medium-term, and long-term improvement areas. 3)Identify the type of update area and corresponding update approach based on the impact mechanism of objective built environment indicators on subjective quality. The construction of research technology logic has theoretical and practical significance for delineating update areas, clarifying update timing, and identifying update pathways in the process of spatial planning practice.
-
[1] 肖扬谋,谢波,陈宇杰.“以人为本”视角下的城市体检逻辑与优化策略[J]. 规划师,2022,38(3):28-34. [2] 李志林,王继成,谭诗腾,等. 地理信息科学中尺度问题的30年研究现状[J]. 武汉大学学报(信息科学版),2018,43(12):2233-2242. [3] 中国城市规划学会标准化工作委员会. 城镇更新区划定技术导则:T/UP SC 0014—2023[S]. 南京:东南大学城市规划设计研究院有限公司,2023. [4] 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. [5] MARCO De N,JACOPO S,ROBERTO L. The death and life of great italian cities:a mobile phone data perspective[C]// 25th International Conference on World Wide Web(WWW). 2016:413-423. [6] 胡一可,张天霖,王磊,等. 景观服务视角下城市街区感知测度及空间分布特征[J]. 风景园林,2022,29(10):45-52. [7] 唐婧娴,龙瀛,翟炜,等. 街道空间品质的测度、变化评价与影响因素识别:基于大规模多时相街景图片的分析[J]. 新建筑,2016(5):110-115. [8] 王林森,郑重,周素红,等. 基于街景感知的城市空间品质对空间活力的影响作用研究[J]. 规划师,2022,38(3):68-75. [9] 陈筝,刘颂. 基于可穿戴传感器的实时环境情绪感受评价[J]. 中国园林,2018,34(3):12-17. [10] 王兰,王静,徐望悦. 城市空间品质评估及优化[J]. 城市问题,2018(7):77-83. [11] 梁立锋,曾文霞,宋悦祥,等. 顾及人群集聚和情绪强度的城市综合活力评价及影响因素[J]. 地球信息科学学报,2022,24(10):1854-1866. [12] KELLY C M. Using google street view to audit the built environment:inter-rater reliability results[J]. Annals of Behavioral Medicine:A Publication of the Society of Behavioral Medicine,2013,45(S1):S108-S112. [13] WANG L,HAN X,HE J,et al. Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2022,190:215-230. [14] 陈江平,张瑶,余远剑. 空间自相关的可塑性面积单元问题效应[J]. 地理学报,2011,66(12):1597-1606. [15] 李海萍. 空间统计分析中的MAUP及其影响[J]. 统计与决策,2009(22):15-17. [16] JIANG Y H,HAN Y,LIU M Y,et al. Street vitality and built environment features:A data-informed approach from fourteen Chinese cities[J]. Sustainable Cities and Society,2022,79,103724. [17] 王振报,龚鑫,吴巍,等. 建成环境对网约车出行需求影响机制研究[J]. 长沙理工大学学报(自然科学版),2023,20(2):104-114. [18] 凡来,张大玉. 北京街区活力影响机制及空间分异特征研究:基于多尺度地理加权回归[J]. 城市规划,2022,46(5):27-37. [19] 洪歌,吴雪飞,蔡锐鸿. 最佳网格分析尺度下城市绿色基础设施的景观格局对碳汇绩效的影响研究[J]. 中国园林,2023,39(3):138-144. [20] 宋密,王志伟,袁媛. 城市统筹划定更新单元、双重分类推进实施:以安徽省阜阳市为例[J]. 上海城市规划,2023(5):52-56. [21] YAO Y,LIANG Z T,YUAN Z H,et al. A human-machine adversarial scoring framework for urban perception assessment using street-view images[J]. International Journal of Geographical Information Science,2019,33(12):2363-2384. -
点击查看大图
计量
- 文章访问数: 56
- HTML全文浏览量: 15
- PDF下载量: 2
- 被引次数: 0
登录
注册
E-alert
登录
注册
E-alert
下载: