Abstract
Demand-responsive transit services (DRTs) have emerged in recent years as a mode of transport capable of improving the efficiency of public transport, respecting scheduled services, and aligning with Agenda 2030 Sustainable Development Goals (SDGs) to provide affordable, accessible, and sustainable transport systems for all. The main socio-demographic determinants for the adoption of DRTs were investigated in this research. In particular, a coherent state of the art on the role of the three studied attributes (Gender, Age, In-come) in the adoption of DRTs was defined, exploring the qualitative and quantitative contributions present in literature, with a focus on modal choice models. For this study, a systematic literature review (SLR) was conducted through a structured search across various search engines . This approach involved de-fining appropriate keywords as well as setting inclusion and exclusion criteria to ensure effective search and thorough analysis of the selected studies. Results are classified considering the contribution of the role of the three different attributes. The results show that there is a growing interest in on-demand forms of mobility. Age-related contributions are more numerous and with concordant conclusions, which highlight the positive impact of DRTs on mobility for older people. The role of income and especially gender is less evident, laying the foundation for further research.
| Original language | English |
|---|---|
| Title of host publication | Computational Science and Its Applications – ICCSA 2025 Workshops |
| Editors | Osvaldo Gervasi, Beniamino Murgante, Chiara Garau, Yeliz Karaca, Maria Noelia Faginas Lago, Francesco Scorza, Ana Cristina Braga |
| Publisher | Springer |
| Pages | 157-174 |
| Number of pages | 18 |
| ISBN (Electronic) | 9783031976384 |
| ISBN (Print) | 9783031976377 |
| DOIs | |
| Publication status | Published - 6 Jul 2025 |
| Event | Workshops of the International Conference on Computational Science and Its Applications, ICCSA 2025 - Istanbul, Turkey Duration: 30 Jun 2025 → 3 Jul 2025 |
Publication series
| Name | Lecture Notes in Computer Science (LNCS) |
|---|---|
| Publisher | Springer, Cham |
| Volume | 15892 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Workshops of the International Conference on Computational Science and Its Applications, ICCSA 2025 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 30/06/25 → 3/07/25 |
Bibliographical note
Copyright © 2026 The Author(s), under exclusive license to Springer Nature Switzerland AGThis version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use [ https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms ] but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-97638-4_11UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- Accessible and Sustainable mobility
- Demand-responsive transit
- Social exclusion
- Socio-demographic attributes
- Systematic Literature Review
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