{"title":"评价城市街道网络拓扑结构对人类空间认知的影响:系统综述。","authors":"Hamed Ahmadi, Meysam Argany, Abolfazl Ghanbari, Manijeh Firoozi","doi":"10.1007/s10339-025-01279-4","DOIUrl":null,"url":null,"abstract":"<p><p>Numerous studies have demonstrated that variations in streets' topological characteristics impact the degree to which people perceive the structure of urban environments. Accordingly, this systematic review aimed to evaluate how the topological parameters affect human spatial cognition, and also analyze the study methods used in studies. The PRISMA reporting guidelines were used in this regard. We systematically searched the Web of Science and Scopus until April 19, 2024. Two researchers independently screened the title, abstract, and full text for the eligibility criteria. A total of 39 articles met our eligibility criteria. The Mixed Methods Appraisal Tool was used to assess the quality of the included articles. The studies have followed four objectives: wayfinding, pedestrian volume, route choice, and spatial representation. Quantitative descriptive, quantitative non-randomized, and observational methodologies were mostly employed. The evaluations mostly used space syntax theory, and accordingly, Depthmap, DepthmapX, and GIS-based toolboxes were used to analyze the topological parameters. Base and blank maps, street photos, and questionnaires have been used in many studies as experiment tools, while virtual reality tools have been less considered. The control variables have been rarely applied in the evaluations. The results indicated that integrated streets and streets with high choice values enhance human spatial cognition. Dense and intelligible street networks and streets with high-directional connectivity also enhance human spatial cognition; however, very few studies evaluated these parameters' influence. The results of evaluating the impact of the other parameters were very heterogeneous. The heterogeneity was mainly related to differences in the study designs, trip purpose, objectives, and spatial scales. Seldom studies have compared how different topological parameters influence spatial cognition. In conclusion, further research, especially experimental quantitative randomized controlled trials, is warranted to discover the impact of street network topology on human spatial cognition.</p>","PeriodicalId":47638,"journal":{"name":"Cognitive Processing","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the impact of urban street network topology on human spatial cognition: a systematic review.\",\"authors\":\"Hamed Ahmadi, Meysam Argany, Abolfazl Ghanbari, Manijeh Firoozi\",\"doi\":\"10.1007/s10339-025-01279-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Numerous studies have demonstrated that variations in streets' topological characteristics impact the degree to which people perceive the structure of urban environments. Accordingly, this systematic review aimed to evaluate how the topological parameters affect human spatial cognition, and also analyze the study methods used in studies. The PRISMA reporting guidelines were used in this regard. We systematically searched the Web of Science and Scopus until April 19, 2024. Two researchers independently screened the title, abstract, and full text for the eligibility criteria. A total of 39 articles met our eligibility criteria. The Mixed Methods Appraisal Tool was used to assess the quality of the included articles. The studies have followed four objectives: wayfinding, pedestrian volume, route choice, and spatial representation. Quantitative descriptive, quantitative non-randomized, and observational methodologies were mostly employed. The evaluations mostly used space syntax theory, and accordingly, Depthmap, DepthmapX, and GIS-based toolboxes were used to analyze the topological parameters. Base and blank maps, street photos, and questionnaires have been used in many studies as experiment tools, while virtual reality tools have been less considered. The control variables have been rarely applied in the evaluations. The results indicated that integrated streets and streets with high choice values enhance human spatial cognition. Dense and intelligible street networks and streets with high-directional connectivity also enhance human spatial cognition; however, very few studies evaluated these parameters' influence. The results of evaluating the impact of the other parameters were very heterogeneous. The heterogeneity was mainly related to differences in the study designs, trip purpose, objectives, and spatial scales. Seldom studies have compared how different topological parameters influence spatial cognition. 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引用次数: 0
摘要
大量研究表明,街道拓扑特征的变化会影响人们对城市环境结构的感知程度。因此,本文旨在评价拓扑参数对人类空间认知的影响,并分析研究中使用的研究方法。在这方面使用了PRISMA报告准则。我们系统地搜索了Web of Science和Scopus,直到2024年4月19日。两位研究人员独立筛选了标题、摘要和全文,以确定入选标准。共有39篇文章符合我们的入选标准。采用混合方法评价工具评价纳入文章的质量。这些研究遵循四个目标:寻路、行人数量、路线选择和空间表现。主要采用定量描述、定量非随机和观察方法。评价主要采用空间句法理论,并利用Depthmap、DepthmapX和基于gis的工具箱对拓扑参数进行分析。在许多研究中,基础地图和空白地图、街拍和问卷调查被用作实验工具,而虚拟现实工具则较少被考虑。在评价中很少应用控制变量。结果表明,综合街道和高选择价值街道增强了人的空间认知能力。密集、可理解的街道网络和高定向连通性的街道也增强了人类的空间认知;然而,很少有研究评估这些参数的影响。评价其他参数影响的结果非常不一致。异质性主要与研究设计、旅行目的、目标和空间尺度的差异有关。很少有研究比较不同的拓扑参数对空间认知的影响。综上所述,需要进一步研究,特别是实验定量随机对照试验,以发现街道网络拓扑对人类空间认知的影响。
Evaluating the impact of urban street network topology on human spatial cognition: a systematic review.
Numerous studies have demonstrated that variations in streets' topological characteristics impact the degree to which people perceive the structure of urban environments. Accordingly, this systematic review aimed to evaluate how the topological parameters affect human spatial cognition, and also analyze the study methods used in studies. The PRISMA reporting guidelines were used in this regard. We systematically searched the Web of Science and Scopus until April 19, 2024. Two researchers independently screened the title, abstract, and full text for the eligibility criteria. A total of 39 articles met our eligibility criteria. The Mixed Methods Appraisal Tool was used to assess the quality of the included articles. The studies have followed four objectives: wayfinding, pedestrian volume, route choice, and spatial representation. Quantitative descriptive, quantitative non-randomized, and observational methodologies were mostly employed. The evaluations mostly used space syntax theory, and accordingly, Depthmap, DepthmapX, and GIS-based toolboxes were used to analyze the topological parameters. Base and blank maps, street photos, and questionnaires have been used in many studies as experiment tools, while virtual reality tools have been less considered. The control variables have been rarely applied in the evaluations. The results indicated that integrated streets and streets with high choice values enhance human spatial cognition. Dense and intelligible street networks and streets with high-directional connectivity also enhance human spatial cognition; however, very few studies evaluated these parameters' influence. The results of evaluating the impact of the other parameters were very heterogeneous. The heterogeneity was mainly related to differences in the study designs, trip purpose, objectives, and spatial scales. Seldom studies have compared how different topological parameters influence spatial cognition. In conclusion, further research, especially experimental quantitative randomized controlled trials, is warranted to discover the impact of street network topology on human spatial cognition.
期刊介绍:
Cognitive Processing - International Quarterly of Cognitive Science is a peer-reviewed international journal that publishes innovative contributions in the multidisciplinary field of cognitive science. Its main purpose is to stimulate research and scientific interaction through communication between specialists in different fields on topics of common interest and to promote an interdisciplinary understanding of the diverse topics in contemporary cognitive science. Cognitive Processing is articulated in the following sections:Cognitive DevelopmentCognitive Models of Risk and Decision MakingCognitive NeuroscienceCognitive PsychologyComputational Cognitive SciencesPhilosophy of MindNeuroimaging and Electrophysiological MethodsPsycholinguistics and Computational linguisticsQuantitative Psychology and Formal Theories in Cognitive ScienceSocial Cognition and Cognitive Science of Culture