2015
DOI: 10.1002/atr.1357
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Flexible feeder transit route design to enhance service accessibility in urban area

Abstract: Summary To improve the accessibility of transit system in urban areas, this paper presents a flexible feeder transit routing model that can serve irregular‐shaped networks. By integrating the cost efficiency of fixed‐route transit system and the flexibility of demand responsive transit system, the proposed model is capable of letting operating feeder busses temporarily deviate from their current route so as to serve the reported demand locations. With an objective of minimizing total bus travel time, a new ope… Show more

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Cited by 35 publications
(26 citation statements)
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“…Similar to a taxi, DRT has the opportunity to complement general public transport services [37]. By integrating FRT's cost efficiency and DRT's flexibility, feeder buses were allowed to temporarily deviate from the given route in order to serve reported travel demands [38].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Similar to a taxi, DRT has the opportunity to complement general public transport services [37]. By integrating FRT's cost efficiency and DRT's flexibility, feeder buses were allowed to temporarily deviate from the given route in order to serve reported travel demands [38].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The results demonstrate that vehicle routing modelling and an optimised algorithm can confidently handle the daily operation of demand-responsive connector services with on-demand stations. There is an interesting solution for urban areas [14] with flexible feeder transit routing model that can serve irregular shaped networks. This approach with some constraint can be feasible in rural areas.…”
Section: The Issues Of Public Transportmentioning
confidence: 99%
“…Other relevant studies on DRTs address the coordination between design of the passenger rail service, station spacing, the design of bus routes, and headways using integrated, robust, and bi-level programming optimization [22][23][24][25]. The above varieties of DRTs are addressed from various objectives, including minimizing the operating costs of the fleet [3,11,26], the shortest length or travel time of the route [27,28], the minimal fleet size required for shuttle service [1,22], ride time, and waiting time of passengers [4,15]. Fortunately, these objectives normally do not affect the properties of DRTs and, thus, similar models and algorithms can be adopted to solve the problem with different objectives.…”
Section: Literaturementioning
confidence: 99%
“…Some scholars have tried to develop route-building heuristics by first generating a set of feasible routes, before searching fine-tuned initial solutions [3,4,28,32]. Furthermore, these developed route-building-based heuristics, which are the three most widely used metaheuristics, are often adopted to contend with VRPTW, including evolutionary algorithm [26], genetic algorithms [27,[32][33][34][35] and table search [36][37][38][39].…”
Section: Literaturementioning
confidence: 99%