Illegal parking in urban streets: connection with the geometric characteristics and its mitigation through traffic calming measures

Auteurs

  • Panagiotis G. Tzouras
  • Cristino Lazaro Perez

DOI :

https://doi.org/10.26253/heal.uth.ojs.aei.2020.52

Mots-clés :

Illegal parking, Geometry, Traffic calming, Urban streets, Problem mitigationία

Résumé

This article studies the Greek interregional commuting network (GRN) by using measures and methods of complex network analysis and empirical techniques. The study aims to detect structural characteristics of the commuting phenomenon, which are configured by the functionality of the land transport infrastructures, and to interpret how this network serves and promotes regional development. In the empirical analysis, a multiple linear regression model for the number of commuters is constructed, which is based on the conceptual framework of the term “network”, in effort to promote the interdisciplinary dialogue. The analysis highlights the effect of the spatial constraints on the network’s structure, provides information on the major road transport infrastructure projects that constructed recently and influenced the country capacity and outlines a gravity pattern describing the commuting phenomenon, which expresses that cities of high population attract large volumes of commuting activity within their boundaries, a fact that contributes to the reduction of their outgoing commuting and consequently to the increase of their inbound productivity. Overall, this paper highlights the effectiveness of complex network analysis in the modelling of spatial and particularly of transportation network, and promotes the use of the network paradigm in spatial and regional research.

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Publiée

2020-03-01

Comment citer

Tzouras, P. G., & Perez, C. L. (2020). Illegal parking in urban streets: connection with the geometric characteristics and its mitigation through traffic calming measures. Aeihoros: Textes d’aménagement Du Territoire, d’urbanisme Et d’aménagement, (30), 45–63. https://doi.org/10.26253/heal.uth.ojs.aei.2020.52