面向可持续城市停车解决方案:利用空间回归分析探索停车政策的效果

Q3 Social Sciences GI_Forum Pub Date : 2021-01-01 DOI:10.1553/giscience2021_02_s228
Meng-Chin Tsai, S. van Gasselt, Tzu–Chin Lin
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引用次数: 0

摘要

在城市政策制定和交通规划中,停车场已经成为一个重要的话题,因为一个设计不良的系统可能会导致交通拥堵、安全问题、空气污染加剧和其他挑战,特别是在人口密集的城市地区。调整停车费被认为是控制选定地点停车行为的最有效工具,以吸引或排斥司机。然而,为了有效地选择目标区域,在提出任何收费调整建议之前,分析当前的停车情况并确定影响停车行为的变量
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Towards Sustainable Urban Car–Parking Solutions: Exploring Effects of Parking Policies Using Spatial Regression Analysis
In urban policy development and transport planning, car parking has become a crucial topic, as an ill-designed system could lead to traffic congestion, safety problems, increased air pollution and other challenges, particularly in densely populated urban areas. Adjusting parking fees has been deemed the most effective tool to control parking behaviour for selected locations, in order to attract or repel drivers. However, in order to select target areas efficiently, and before any recommendation for fee adjustment is made, an analysis of the current parking situation and the identification of variables influencing parking behaviour
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来源期刊
GI_Forum
GI_Forum Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
23 weeks
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