Design of a Bike–Bus Network for a City of Half a Million Citizens

Oliveira, Stefano Petrini de; Luche, José Roberto Dale; Marins, Fernando Augusto Silva; Silva, Aneirson Francisco da; Costa, Antonio Fernando Branco

doi:10.1061/(asce)up.1943-5444.0000709

Cited by 1 publication

(1 citation statement)

References 37 publications

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“…Yu et al proposed a demand-responsive transit circulator service network design method for providing seamless connection between rail station and travellers destination [19]. Oliveira et al optimised bike-bus network to increase the usage of public transit system and mitigate private vehicle usage [20].…”

Section: Upper-level Problemmentioning

confidence: 99%

Designing Customised Bus Routes for Urban Commuters with the Existence of Multimodal Network – A Bi-Level Programming Approach

Cheng¹,

Wang²,

Wang³

et al. 2022

Promet

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Customised bus (CB) is a cutting-edge mean of transportation and has been implemented worldwide. To support the spread of the CB system, methodologies for CB network design have been conducted. However, a majority of them cannot be adopted directly for multi-modal transportation environment. In this paper, we proposed a bi-level programming model to fill this gap. The upper-level problem is to maximise the usage of the CB system with the limitation of operation constraints. Meanwhile, the lower-level problem is to capture the traveller’s choice by minimising traveller’s generalised cost during travel. A solving procedure via genetic algorithm is further proposed and validated via the metro data at Shanghai. The results indicated that the proposed CB route network would attract nearly 5,000 users during morning peak period under the given metro transaction data. We further studied the features of the selected routes and found that the CB network mainly served residence to commercial or industrial parks travellers and would provide travel service with fewer stops, and higher travel efficiency by travelling through expressway.

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Section: Upper-level Problemmentioning

confidence: 99%