Stretching resources: sensitivity of optimal bus frequency allocation to stop-level demand elasticities

Verbas, Ömer; Frei, Charlotte; Mahmassani, Hani S.; Chan, Raymond

doi:10.1007/s12469-013-0084-6

Cited by 41 publications

(26 citation statements)

References 9 publications

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“…Frei et al [25] estimated and discussed stop-level transit elasticities with respect to service frequency, while some scholars have also assumed that passenger travel demand is related to the distance between stops [26]. In order to estimate ridership elasticity, Verbas used three main methodologies with respect to headway, compared in the context of a transit network frequency setting framework [27]. Hadas Y et al [28] presented a new approach of frequency setting by enabling the use of stochastic properties of the collected data and its associated costs within a supply chain optimization model.…”

Section: Literature Reviewmentioning

confidence: 99%

Setting Headways on a Bus Route under Uncertain Conditions

et al. 2019

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Urban public transport is a sustainable transportation strategy. Promoting public transport is an important means of urban transport sustainable development. Reasonable operation scheduling can increase the attractiveness of public transit systems and be conducive to the sustainability of transportation systems. Setting headways on a bus route is the key work of bus scheduling. For the refined management requirements of bus scheduling, this paper comprehensively considers the influence of three uncertainties on the bus route headway: passenger demand elasticity, which is an elasticity with respect to the supply of service, the randomness of the bus travel time between bus stops, and the abandoned passengers flow. A bus route headway allocation model is established. Considering the attractiveness of bus traveling and the interests of passengers, the objective functions are the maximum number of passengers waiting for the bus at each stop and the minimum number of passengers who fail to board. An enumeration combining a recursive algorithm under Monte Carlo random simulation conditions is designed to solve the problem. A comparison of the optimal bus departure interval (headway of the origin stop) under different conditions is studied using a numerical case. Under the same conditions, the results show that the model proposed in this paper can reduce the passengers waiting time and attract more passengers traveling by bus and it also meets the goal of sustainable public transport well. These findings are significant references for optimizing bus operations considering these uncertain factors.

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Section: Literature Reviewmentioning

confidence: 99%

Setting Headways on a Bus Route under Uncertain Conditions

et al. 2019

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“…The elasticities b t;r;s may be estimated using a variety of behavioral study techniques; in this study, they are estimated by using historical data of boardings and headways, and by categorizing stop, route, time triplets into different land use, supply and demand categories (Frei and Mahmassani, 2013;Verbas et al, 2015). Substituting (2) into (1) yields:…”

Section: Model Formulationmentioning

confidence: 99%

Exploring trade-offs in frequency allocation in a transit network using bus route patterns: Methodology and application to large-scale urban systems

Verbas

Mahmassani

2015

Transportation Research Part B: Methodological

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“…Given the practical and public acceptance issues associated with bus route variants, other flexible approaches which consider the deployment of short-turning and interlining can be considered. The works of Verbas and Mahmassani (2013) and Verbas et al (2015) provide a first step in this direction since they do not allocate bus frequencies at a line level, but at a segment level considering a pre-defined set of short-turning options.…”

Section: Introductionmentioning

confidence: 99%