Conceptualising the Indicators of Walkability for Sustainable Transportation

Moayedi, Farzaneh; Zakaria, Rozana; Bigah, Yeoh; Mustafar, Mushairry; Puan, Othman Che; Zin, Irina Safitri; Klufallah, Mustafa M. A.

doi:10.11113/jt.v65.2151

Cited by 22 publications

(32 citation statements)

References 15 publications

(16 reference statements)

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“…These results obtained from the case study are relevant for spatial and urban planning in terms of current lines of work and research, such as walkability, underlining that attention should be paid to decisions in urban planning and design, with the focus on the human beings, their dimension, and scale, connecting with concepts such as sustainability, among others [ 82 , 83 , 84 ].…”

Section: Discussionmentioning

confidence: 92%

Survey Assessment for Decision Support Using Self-Organizing Maps Profile Characterization with an Odds and Cluster Heat Map: Application to Children’s Perception of Urban School Environments

Abarca-Álvarez

Campos-Sánchez

Mora-Esteban

2019

Entropy

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The interpretation of opinion and satisfaction surveys based exclusively on statistical analysis often faces difficulties due to the nature of the information and the requirements of the available statistical methods. These difficulties include the concurrence of categorical information with answers based on Likert scales with only a few levels, or the distancing of the necessary heuristic approach of the decision support system (DSS). The artificial neural network used for data analysis, called Kohonen or self-organizing maps (SOM), although rarely used for survey analysis, has been applied in many fields, facilitating the graphical representation and the simple interpretation of high-dimensionality data. This clustering method, based on unsupervised learning, also allows obtaining profiles of respondents without the need to provide additional information for the creation of these clusters. In this work, we propose the identification of profiles using SOM for evaluating opinion surveys. Subsequently, non-parametric chi-square tests were first conducted to contrast whether answer was independent of each profile found, and in the case of statistical significance (p ≤ 0.05), the odds ratio was evaluated as an indicator of the effect size of such dependence. Finally, all results were displayed in an odds and cluster heat map so that they could be easily interpreted and used to make decisions regarding the survey results. The methodology was applied to the analysis of a survey based on forms administered to children (N = 459) about their perception of the urban environment close to their school, obtaining relevant results, facilitating results interpretation, and providing support to the decision-process.

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Section: Discussionmentioning

confidence: 92%

Survey Assessment for Decision Support Using Self-Organizing Maps Profile Characterization with an Odds and Cluster Heat Map: Application to Children’s Perception of Urban School Environments

Abarca-Álvarez

Campos-Sánchez

Mora-Esteban

2019

Entropy

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“…These papers focus on comparisons of assessment techniques (Beria, Maltese, & Mariotti, 2012;P. Miller, de Barros, Kattan, & Wirasinghe, 2016), indicator conceptualisation (Moayedi et al, 2013), and definitions of sustainability (Jeon & Amekudzi, 2005).…”

Section: What Methods Are Applied To Assess What Phenomena?mentioning

confidence: 99%

Urban transportation sustainability assessments: a systematic review of literature

Karjalainen

Juhola

2021

Transport Reviews

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The volume of urban transportation sustainability assessments in academic literature has steadily increased over the last two decades. This paper targets these studies through the first systematic literature review to construct a synthesised and critical overview of how urban transportation sustainability is in fact assessed. The sample consists of 99 peer-reviewed articles retrieved via three scientific search engines. The results reveal a Europe-centric and single-case focus, a strong interest to introduce new indicator systems with limited references to previous work, and a lack of qualitative approaches and stakeholder diversity regarding the assessment methods. Nearly 2400 indicators are identified in the articles with significant variation in their use. Furthermore, the comprehensive accounting for sustainability is often overlooked, and the inconclusive assessment results are often noted by the authors of the sample articles themselves. Our findings signal that the research field is highly fragmented and to some extent fails to accumulate knowledge generated by past studies and to comprehensively operationalise the concept of sustainability. The identified shortcomings of the assessments and their implications for transportation policy-making and planning are highlighted, and based on our results recommendations to develop more reliable, comparable, and inclusive sustainability assessments for the urban transportation sector are made.

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“…The association between insecurity and walking has been found especially relevant in certain contexts. In some Latin American and Asian cities, perceived security against crime was found to be a major problem influencing walkability and deterring people from walking [3,54,56,57]. In Mexico, concern about insecurity explains the rejection of walking as a form of travel when people live in fortified housing developments [58].…”

Section: Theoretical Reviewmentioning

confidence: 99%

Do University Students’ Security Perceptions Influence Their Walking Preferences and Their Walking Activity? A Case Study of Granada (Spain)

et al. 2022

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A sustainable city must be a safe place for its inhabitants when walking, with the absence of fear of crime being one of its main attributes. Although perceived insecurity is one of the main deterrents of walking activity, this relationship requires some clarification in environments which are walkable and safe, with low crime rates. This article contributes to the evidence for the influence of perceived security on walking activity and, as a novel aspect, also analyzes the effects of perceived security on walking as the preferred travel mode. In order to study this relationship, we use a method that combines non-linear principal component analysis (NLPCA) and a logit model (LM). The data are taken from a survey of university students carried out in the city of Granada. Results show that gender and perceived security have a greater effect on the choice of walking as the preferred travel mode, while location factors have significantly more weight in the explanation of the choice of walking as the most usual travel mode. These findings may be extended to other urban areas and can be of use for the implementation of urban policies aimed at designing the built environment to develop more sustainable cities.

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Conceptualising the Indicators of Walkability for Sustainable Transportation

Cited by 22 publications

References 15 publications

Survey Assessment for Decision Support Using Self-Organizing Maps Profile Characterization with an Odds and Cluster Heat Map: Application to Children’s Perception of Urban School Environments

Survey Assessment for Decision Support Using Self-Organizing Maps Profile Characterization with an Odds and Cluster Heat Map: Application to Children’s Perception of Urban School Environments

Urban transportation sustainability assessments: a systematic review of literature

Do University Students’ Security Perceptions Influence Their Walking Preferences and Their Walking Activity? A Case Study of Granada (Spain)

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