2018
DOI: 10.1016/j.trd.2018.07.016
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Application of multi-criteria decision analysis methods for assessing walkability: A case study in Porto Alegre, Brazil

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Cited by 78 publications
(57 citation statements)
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“…Objective measures have been predominantly used in walkability research by developing walkability audits [25][26] and indexes [27,28,29] that evaluate and score the conditions provided to pedestrians. Such objective measures have been supported in Geographic Information Systems [30][31], multi-criteria analysis [25,32], virtual technologies [29,33], Web-based services, such as WalkScore, among others. Subjective measures have been supported on qualitative assessments based on stated preferences and individual perceptions usually collected through questionnaires or by consulting expert panels [34].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Objective measures have been predominantly used in walkability research by developing walkability audits [25][26] and indexes [27,28,29] that evaluate and score the conditions provided to pedestrians. Such objective measures have been supported in Geographic Information Systems [30][31], multi-criteria analysis [25,32], virtual technologies [29,33], Web-based services, such as WalkScore, among others. Subjective measures have been supported on qualitative assessments based on stated preferences and individual perceptions usually collected through questionnaires or by consulting expert panels [34].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The characteristics of traffic (speed, volume), the characteristics of roads (lanes and directions) and the facilities for protecting pedestrians from traffic are factors with impact on walking. Public security is also a criterion with some impact on walking, mainly in cities characterised by urban violence [32]. Pedestrian facilities are infrastructure provided to enhance the pedestrian environment, to improve pedestrian mobility, safety, access, and comfort.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although the path condition (pavement, width, etc.) are also included as safety indicators in the above assessment tools, a fuzzy evaluation on walkability by adolescents proved that it is less important than public safety and traffic safety when it comes to CIM [41] . In addition, attack, harassment, bullying, and antisocial behaviors of strangers also pose social safety threats to CIM [42]~ [44] .…”
Section: Study On Other Articles On Mobility Safetymentioning
confidence: 99%
“…进行评价,其中"安全性"权重达到0.4,为三者中最高 [29] 。因此从步 行友好性评价研究中提取"安全"相关指标是有效且有意义的。 CIM被定义为无父母监管时儿童在邻里环境内的自由活动 [30] ,安全 是其最重要的影响因素,通常包含社会安全与交通安全两类 [31]~ [33] ,有 研究还特别强调步行安全 [34] 。从CIM研究文献中也解析出了若干与步行 友好性研究相一致的细化安全指标,例如交通量、交通速度等 [35]~ [39] , 但大多属于"机动车交通环境"指标大类,仅有"交通节点穿行保 障"等 [37][39] [40] 属于"步行/骑行环境"指标大类。虽然现有评价工具中 也包括步行道路状况(如铺装、宽度等)类指标,但青少年群体对社 区步行友好性的模糊评价证实,相较于路面质量,公共安全与交通安 全对独立出行的影响更大 [41] 。除此之外,来自陌生人的攻击、骚扰、欺 凌及反社会行为等也是影响儿童独立出行的社会安全因素 [42]~ [44] ;"照 明"则是一种值得探讨的增加夜晚出行安全感知的因素 [39] [40] ,可被纳 入表4"步行/骑行环境"下的"其他设施"指标小类。值得注意的是, CIM研究对表4中"其他指标"类所涉及的环境因子也较为关注,尤其 从儿童独立出行需求的角度探讨了更为广泛的安全问题,例如动物产 生的威胁、迷路,以及熟人或关系良好的邻里-他们的视线可形成 被动监督,也可以成为儿童寻求帮助的对象,从而为独立出行的儿童 带来安全感 [43] [44] ,而这些因素在其他研究中往往被忽略,故而对CIM研 究文献的检索有效地扩展了本研究的思路,有助于进一步完善评价指 标框架。 儿童通学研究也将安全因素作为重点研究内容,涵盖了诸多社会 及物理环境因素,如邻里关系、陌生人的威胁、步行设施(包括交通 信号灯、步行过街路口、步道数量等)、机动车交通量、街道机动车 停放数量,以及道路连续度等。此外,"区域(社区)对道路安全的 重视程度"是一项意识层面的新指标。 [45] [46] 此外,虽然驾驶员及行人的不可预测或不当行为 [47] [48] 也会对儿童出 行造成安全威胁,但主要需通过公共安全教育 [49] 和严格执法 [50] 等非环境 设计手段对其进行干预,故本研究不予以考量。 5 Conclusions…”
Section: Study On Other Articles On Mobility Safetyunclassified
“…The difficulty in making decisions arises when the obstacles are not natural or are ambiguous, uncertain, and confusing. The proposed methods of this study can be used to solve actual problems that organizations face in real time with a series of restrictions that are classified into a Multi-Criteria Decision Making (MCDM) method [21,22].…”
Section: Introductionmentioning
confidence: 99%