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A Network Analysis Model to Measure the Walkability of Public Spaces

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Smart Energy for Smart Transport (CSUM 2022)

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Abstract

The ongoing shift from auto-oriented urban planning policies has led to a growing interest in the creation and management of public spaces in cities. Public spaces can act as an attraction for a city and have been proven useful for urban revitalization. However, it is not uncommon for many of those spaces to stay underutilized. The aim of this paper is to create a walkability utility index for every road segment that, when correlated with the population density of each area, is used to define the overall accessibility of public space on foot. This culminates into a set of novel equipotential mapping samples applied to a set of urban segments of Greek cities. The results of this paper lead to a different way of evaluating existing city plans, offer a useful tool to authorities in implementing urban regeneration works aimed at improving citizen well-being and, a keyway of evaluating new public space development projects.

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Author information

Authors and Affiliations

  1. Rhoé, Polytechniou 21, 54626, Thessaloniki, Greece

    Asterios Binopoulos, Eleni Evangelidou, Theocharis Vlachopanagiotis & Konstandinos Grizos

Authors
  1. Asterios Binopoulos
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  2. Eleni Evangelidou
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  3. Theocharis Vlachopanagiotis
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  4. Konstandinos Grizos
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Corresponding author

Correspondence to Eleni Evangelidou .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Thessaly, Volos, Greece

    Eftihia G. Nathanail

  2. Department of Planning and Regional Development, University of Thessaly, Volos, Greece

    Nikolaos Gavanas

  3. Department of Civil Engineering, University of Thessaly, Volos, Greece

    Giannis Adamos

Appendix

Appendix

See Table 1.

Table 1. Factors and attributes relevant for assessing walkability [27].
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Binopoulos, A., Evangelidou, E., Vlachopanagiotis, T., Grizos, K. (2023). A Network Analysis Model to Measure the Walkability of Public Spaces. In: Nathanail, E.G., Gavanas, N., Adamos, G. (eds) Smart Energy for Smart Transport. CSUM 2022. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-23721-8_91

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  • DOI: https://doi.org/10.1007/978-3-031-23721-8_91

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