哪些因素能焕发老城街道的活力?中国南京案例研究

IF 2.8 3区 地球科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ISPRS International Journal of Geo-Information Pub Date : 2024-08-12 DOI:10.3390/ijgi13080282
Yan Zheng, Ruhai Ye, Xiaojun Hong, Yiming Tao, Zherui Li
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引用次数: 0

摘要

城市街道活力一直是城市规划领域关注的焦点。本研究利用实时用户数据集(RTUDs)研究了南京老城区工作日和周末街道活力的空间模式。采用空间自回归模型(SAM)和多尺度地理加权回归模型(MGWR),定量评估了各种因素对街道活力的影响及其空间异质性。这项研究揭示了以下内容:(1)南京老城区街道活力的分布呈现出以新街口为中心的结构,工作日街道活力的规律性和可预测性高于周末;(2)交通区位、道路密度、功能密度等八个变量与街道活力呈正相关关系,而绿景指数与街道活力呈负相关关系,商业区位在周末有利于街道活力,但在工作日会减弱街道活力;(3)交通区位、功能密度等变量对街道活力的影响取决于其空间位置。基于这些结果,本研究为提升老城街道活力提供了新的策略。
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What Factors Revitalize the Street Vitality of Old Cities? A Case Study in Nanjing, China
Urban street vitality has been a perennial focus within the domain of urban planning. This study examined spatial patterns of street vitality in the old city of Nanjing during working days and weekends using real-time user datasets (RTUDs). A spatial autoregressive model (SAM) and a multiscale geographically weighted regression (MGWR) model were employed to quantitatively assess the impact of various factors on street vitality and their spatial heterogeneity. This study revealed the following: (1) the distribution of street vitality in the old city of Nanjing exhibited a structure centered around Xinjiekou, with greater regularity and predictability in street vitality on working days than on weekends; (2) eight variables, such as traffic location, road density, and functional density, are positively associated with street vitality, whereas the green view index is negatively associated with street vitality, and commercial location benefits street vitality at weekends but detracts from street vitality on working days; and (3) the influence of variables such as traffic location and functional density on street vitality is contingent on their spatial position. Based on these results, this study provides new strategies to enhance the street vitality of old cities.
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来源期刊
ISPRS International Journal of Geo-Information
ISPRS International Journal of Geo-Information GEOGRAPHY, PHYSICALREMOTE SENSING&nb-REMOTE SENSING
CiteScore
6.90
自引率
11.80%
发文量
520
审稿时长
19.87 days
期刊介绍: ISPRS International Journal of Geo-Information (ISSN 2220-9964) provides an advanced forum for the science and technology of geographic information. ISPRS International Journal of Geo-Information publishes regular research papers, reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. The 2018 IJGI Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJGI. See full details at http://www.mdpi.com/journal/ijgi/awards.
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