- 城市智慧更新：前沿理论与方法
- 文章编号：1009-6000(2025)08-0033-10
- 中图分类号：TU984.16 文献标识码：B
- Doi：10.3969/j.issn.1009-6000.2025.08.005
- 项目基金：国家自然科学基金面上项目“网络社会参与下岭南城镇意象的衍化机理研究” （52178037）。
- 作者简介：张乔嘉，华南理工大学建筑学院在读博士研究生；
张玉阳，华南理工大学建筑学院在读硕士研究生；
杨雨晴，华南理工大学建筑学院在读硕士研究生；
赵渺希，通信作者，华南理工大学建筑学院，亚热带建筑与城市科学全国重点实验室，教授，博导，研究方向为企业网络、游憩网络、城市意象。
- 基于众包GPS轨迹的广州市中心城区游憩指数评估与智慧更新路径探讨
- Analysis of Recreational Trajectory Characteristics and Smart Renewal Strategies in the Central Urban Area of Guangzhou Based on Crowdsourced GPS Trajectory
- 张乔嘉 张玉阳 杨雨晴 赵渺希
- ZHANG Qiaojia ZHANG Yuyang YANG Yuqing ZHAO Miaoxi
- 摘要：
在智慧城市建设背景下，游憩空间的智慧更新与评估成为城市治理的重要议题。文章以广州市中心城区为例，基于“两步路”平台的众包 GPS 轨迹数据，结合多模型分析建成环境因素对步行与骑行活动的影响，构建以显著变量系数为权重的步行指数与骑行指数评估框架。结果表明：（1）步行活动时间上集中于春季与周末，空间上集中于森林公园周边，骑行活动分布更均衡，沿河道与主干道形成集聚；（2）建成环境因子对两类活动的影响方向与强度存在显著差异；（3）步行指数高值呈点状、北向集中特征，骑行指数高值则展现带状、均衡格局。基于此，提出适应差异化需求的智慧游憩更新策略。 - 关键词：
智慧城市；众包 GPS 轨迹；慢行游憩；城市更新优化 - Abstract: In the context of smart city development, the intelligent renewal and evaluation of recreational spaces have become critical issues in urban governance. Taking the central urban area of Guangzhou city as a case study, this article utilizes crowdsourced GPS trajectory data from the “Two Steps” platform and integrates multi-model analysis to examine the impact of built environment factors on walking and cycling activities, constructing an evaluation framework for a walking index and a cycling index weighted by significant variable coefficients. The results show: (1) Walking activities are temporally concentrated in spring and on weekends, and spatially clustered around forest parks, while cycling activities are more evenly distributed, forming clusters along rivers and main roads; (2) The direction and intensity of the impact of built environment factors on the two types of activities vary significantly; (3) High values of the walking index exhibit a dotted, northward-concentrated pattern, whereas high values of the cycling index display a banded, balanced pattern. Based on these findings, the article proposes smart recreational renewal strategies tailored to differentiated needs.
- Key words: smart city; crowdsourced GPS trajectory; non-motorized recreational tour; urban optimization