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A multidisciplinary approach to the inclusion of persons with disabilities in a public transport system: Management, Optimization, and Decision Aiding (MODA)

Abstract : Without question, alongside human rights, one of the primary motives for investigating the inclusion of persons with disabilities is that they total one billion worldwide, which gives this topic the highest level of urgency in providing their full inclusion in society. According to the World Health Organization report, this number represents 15% of the world population. Consequently, the inclusion of Persons With Disabilities (PWD) in the domain of public transport is exceptionally significant. Public transportation is a crucial matter for PWD as part of their inclusion in society. The provision of a fully accessible service for PWD in public transport systems is a long and complex process, which involves many parties. The diversity of PWD needs, and the interactions between these needs and transport organizations, demonstrate this process's complexity. To the best of our knowledge, this research states for the first time the criteria of the 5As (Availability, Accessibility, Acceptability, Affordability, and Adaptability) that address PWD needs concerning transport optimization models. The research purpose of using these 5As is to empower the independence of PWD mobility in using the transport system by showing the adequacy of existing transportation optimization models for PWD, such as transportation on demand and constrained shortest path problems. The breakdown of this complex problem began by applying the decision-aiding process (DAP). The first DAP phase identified the problem's participants and defined their stakes within three decision levels: - strategic, tactical, and operational. In this phase, management is recognized as a discipline that could capture several different organization domains and ponderate equal utilization of three different approaches in this thesis. Additionally, knowledge management provided a systematic review of the optimization models concerning the 5As, and the legislative review formed an essential part of defining PWD rights. In the second DAP phase, the matrix of different decision fields is developed by the needs and obstacles for PWD transport inclusion with the specific actions they could carry out. The DAP led to a comprehensive analysis, enabling the selection of a suitable transportation model for the inclusion of disabled persons. An integrative framework of optimization model correlations was developed, relating to public network information, specifically the accessibility of the public network. This analysis demonstrated optimization models of transport-on-demand, and the shortest path provided partial independence for PWD. Those optimization models are more oriented to improving company organizational performance than the advancement of the independent mobility of PWD. These two models give different ways of providing the solution to PWD transport with different organizational frames. The integration and coordination of these models along the PWD transportation journey provide the missing link in the same chain, leading to the clustering approach. The clustering approach operated in two directions by employing both the network and user data. From the real data set of “on-demand” service transport, the clustering provides an analysis of the PWD transport flow, with the geo-location of PWD using existing hub locations on the network. Further research has generated several situations with various clusters, reporting 23% of satisfied PWD users in the case of five clusters. One of the thesis's key findings is the practical implementation of the decision-aiding process, with the problem reframing from the transport on-demand and shortest path optimization models to the clustering approach. The application of cluster analysis of the public transport network in Valenciennes presents a further contribution.
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Submitted on : Wednesday, October 13, 2021 - 3:05:05 PM
Last modification on : Thursday, January 27, 2022 - 11:12:14 AM
Long-term archiving on: : Friday, January 14, 2022 - 7:17:06 PM


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  • HAL Id : tel-03376484, version 1


Danijela Đorić. A multidisciplinary approach to the inclusion of persons with disabilities in a public transport system: Management, Optimization, and Decision Aiding (MODA). Artificial Intelligence [cs.AI]. Université Polytechnique Hauts-de-France; Institut national des sciences appliquées Hauts-de-France, 2021. English. ⟨NNT : 2021UPHF0026⟩. ⟨tel-03376484⟩



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