基于残障行人感知的模糊微尺度可达性指标——以拉美某中型城市为例

IF 2.4 Q3 TRANSPORTATION
Ana Paula Soares Müller, Alejandro Ruiz-Padillo
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引用次数: 0

摘要

物理可达性是城市基础设施的重要特征,它允许安全、舒适和独立的行人移动。为了评估这一方面,考虑行人,特别是最脆弱的人,如残疾人,如何感知物理无障碍条件是很方便的。针对这一主题,本研究的目的是开发可达性指标,即模糊人行道可达性指数(FSAI)和模糊人行横道可达性指数(FCAI),结合微尺度属性评估表和问卷调查,评估身体、视觉和听觉障碍行人的可达性水平。考虑到评价所固有的主观性和不确定性,采用模糊逻辑和多准则评价技术来生成建议指标。随后,将该指数应用于巴西某中型城市的案例研究,验证了其在评价市中心人行道和人行横道可达性水平方面的适用性。因此,本研究的创新之处在于解决了在此背景下不经常考虑的背景-拉丁美洲的中型城市-以及包括不同类型残疾行人的感知,而以前的研究通常将残疾人视为一个同质群体。此外,建议的可访问性索引是第一个在上述上下文中应用模糊方法的索引。案例研究的结果表明,该地区的可达性条件普遍不足,没有可达的行人路线。很明显,圣玛丽亚市的行人十字路口需要仔细注意,因为在评估区域内所有的物理可达性都很差。安装足够的行人信号和粉刷和铺设良好的人行横道应该是当地的优先事项。此外,FSAI和FCAI被证明是一种足够的工具,可以以详细的方式测量物理可达性,解决不同残疾人的可达性问题,与一个仍然缺乏的研究领域合作,并通过包括不同类型的残疾和微观尺度的方法进行创新。通过FSAI和FCAI应用程序,利益相关者、城市规划者和研究人员可以根据可达性水平对行人基础设施进行分类,绘制可达的行人路线,并确定可能代表优先改进的具体属性。因此,FSAI和FCAI可以识别给定区域内人行道和人行横道的哪些微观属性最令人担忧的物理条件,以及哪些行人路线需要更迫切地改善,并与城市规划合作,重点关注行人的可达性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy micro-scale accessibility indexes from the perception of pedestrians with disabilities: case study of a medium-sized Latin American city
Physical accessibility is an important characteristic of urban infrastructure, allowing safe, comfortable and independent pedestrian mobility. To assess such an aspect, it is convenient to consider how physical accessibility conditions are perceived by pedestrians, especially the most vulnerable ones, such as people with disabilities. Addressing this topic, the objective of this study was the development of accessibility indexes, called Fuzzy Sidewalk Accessibility Index − FSAI and Fuzzy Crosswalk Accessibility Index − FCAI, to evaluate the level of perceived accessibility by pedestrians with physical, visual and hearing disabilities, combining an evaluation checklist of micro-scale attributes and a questionnaire. Fuzzy logic and a multi-criteria assessment technique were applied to generate the proposed indexes, taking into account the subjectiveness and uncertainties that are inherent to the evaluation. Subsequently, the indexes were applied in a case study in a medium sized Brazilian city, to test their suitability in assessing the level of accessibility of sidewalks and crosswalks in the downtown area. Therefore, the present research innovates by addressing a context not frequently considered in this context — medium sized cities from Latin America — as well as by including the perception of pedestrians with different types of disabilities, while previous studies usually understand disabled individuals as an homogeneous group. In addition, the proposed accessibility indexes are the first to apply a fuzzy approach within the aforementioned context. The results from the case study indicated a general inadequacy of accessibility conditions, with no accessible pedestrian route identified in the area. It is clear that pedestrian intersections need careful attention in the city of Santa Maria, since all presented poor physical accessibility within the evaluated area. Installing adequate pedestrian signals and well painted and paved crosswalks should be a local priority. Furthermore, the FSAI and FCAI were demonstrated to be an adequate tool to measure physical accessibility in a detailed manner, addressing perceived accessibility by people with different disabilities, collaborating with a still lacking research area and innovating by including different types of disabilities and a micro-scale approach. Through the FSAI and FCAI application, stakeholders, city planners and researchers can classify pedestrian infrastructure on the level of accessibility, map accessible pedestrian routes and identify specific attributes that might represent priorities for improvement. Thus, the FSAI and FCAI allow to identify which micro-scale attributes of the sidewalks and crosswalks present the most concerning physical conditions within a given area, as well as which pedestrian routes need to be improved with more urgency, collaborating with urban planning focused on accessible pedestrian mobility.
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