标题: Street similarity assessment from a pedestrian's walk-through perspective
作者: Junhao Yang (杨均豪 本科生); Juanjuan Luo (罗娟娟 硕士生); Meng Bian; Yifei Liu; Teng Fei (费腾 *)
来源出版物: Journal of Urban Management DOI: 10.1016/j.jum.2025.05.017 Published Date: 2025-06-25
摘要: Streets, as an important interface where residents interact with the urban built environment, play a significant role in influencing residents' living experiences, thus becoming essential subjects in human-centered urban planning and research. The calculation of street similarity is a valuable tool for understanding, preserving, and enhancing the urban landscape. However, existing calculations of street similarity frequently treated one street as a single object and overlooked the fact that streets are primarily used for passage. As a result, in the calculation of street similarity, the sequential occurrence of experiences felt by pedestrians during the process of walking through the whole street was mostly ignored by traditional algorithms. To address this issue, this study establishes a framework for evaluating street similarity from a pedestrian's perspective (walk-through perspective) by constructing street feature sequences from three dimensions—landscape, safety perception, and function and applying Dynamic Time Warping (DTW) algorithm for sequences comparison. Exemplified by the city of Chengdu, China, an overall high degree of similarity among the streets was discovered, while significant uniqueness is also observed in certain places across different dimensions. The proposed method for street similarity calculation provides a more human-centered paradigm for urban street studies and offers valuable scientific references for urban planning efforts.
作者关键词: Dynamic time warping; Street features; Street similarity; Street uniqueness; Walk-through perspective
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地址: [Junhao Yang, Juanjuan Luo, Yifei Liu, Teng Fei] School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
[Meng Bian] School of Remote Sensing and Geoinformation Engineering, Wuhan University, Wuhan, China
[Teng Fei] School of Forestry, University of Canterbury, New Zealand
通讯作者地址: Teng Fei(通讯作者) School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
Teng Fei(通讯作者) School of Forestry, University of Canterbury, New Zealand
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影响因子：5.0
