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Choice-driven service network design for an integrated fixed line and demand responsive mobility system.
- Source :
-
Transportation Research Part A: Policy & Practice . Dec2022, Vol. 166, p557-574. 18p. - Publication Year :
- 2022
-
Abstract
- Sparsely populated areas tend to be poorly served by Fixed Line and Schedule (FLS) public transport systems as the operation of a regular bus line is not economically viable for such areas. Therefore, introducing a Demand Responsive Transport (DRT) to partially replace FLS can result in increasing mobility service accessibility and inclusion. In this paper, a mixed-integer linear problem (MILP) is proposed to design an integrated FLS and DRT network for a transport operator. Passengers behavior is implicitly incorporated in our proposed approach via a discrete choice model. In addition, a tailored Adaptive Large Neighborhood Search (ALNS) coupled with tabu search and simulated annealing are introduced. We test our algorithm on real instances from a public transport operator in the Netherlands. The proposed algorithm can solve the problem up to 170 times faster than the MILP within 4% to 10% gap. Our proposed resolution approach investigates the temporal and spatial feasibility of deploying these integrated mobility systems based on the service level and provides recommendations to public transport operators. • An integrated FLS and DRT integrated transport system is considered. • A choice-driven MILP mathematical model is presented. • An ALNS algorithm coupled with tabu search and simulated annealing is introduced. • Computational time and optimality gaps are reported for proposed methods. • Results are validated using a case in the Netherlands. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09658564
- Volume :
- 166
- Database :
- Academic Search Index
- Journal :
- Transportation Research Part A: Policy & Practice
- Publication Type :
- Academic Journal
- Accession number :
- 160633993
- Full Text :
- https://doi.org/10.1016/j.tra.2022.10.016