Modeling urban taxi services with multiple user classes and vehicle modes

Wong, Ka-Io; Wong, Stephen C. P.; Yang, Hai; Wu, Jiahao

doi:10.1016/j.trb.2008.03.004

Cited by 100 publications

(53 citation statements)

References 22 publications

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“…More advanced analytical frameworks were developed recently. Wong et al (2008) proposed an urban taxi service model with multiple user classes and vehicle modes. They developed a hierarchical taxi type choice model for passengers and also considered normal traffic flows together with taxi flows.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To the end, a microscopic taxi simulation is required in order to consider various service types. In many cities, service on demand such as a call-taxi is prevalent and existing taxies also have multiple service and fare levels (Wong et al, 2008). In order to capture above aspects, an agent-based time-dependent simulation model is required.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the real world, the uncertainty associating with a destination is changeable with respect to driver's experience and one's main traveling area. However, Yang and Wong (1998), Wong et al (2001), Yang et al (2002), and Wong et al (2008) have used the same assumption besides Kim et al (2005) in which an agent-based cognitive learning process is used in order to reflect the travel experience level of taxi driver. In addition, modeling each taxi drivers heterogeneously needs huge memory in the simulation.…”

Section: N I Pax (T)≤n I Taxi (T) (More Taxies Than Waiting Passengers)mentioning

confidence: 99%

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An agent-based simulation model for analyzing the impact of asymmetric passenger demand on taxi service

2010

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In this study, a time-dependent agent-based taxi simulation model was developed. Modeling of taxi system is a complex task because it is dependent on the spatiotemporal pattern of passenger demand. However, the role of taxi as a public transport cannot be under-estimated in the urban area. Not only as a paratransit for the elder and disabled but also as a public transport for complementing the mass transit systems such as subways and arterial buses, a taxi conveys huge number of passengers every day. In this context, a practical modeling method for a taxi system was developed based on equilibrium philosophy and an agent-based simulation framework. In this study, the authors developed a simulation framework for the evaluation of taxi service for enhancing the quality of urban taxi transportation system. The developed model was tested with various passenger travel patterns, and a meaningful policy-related issue for improving the service performance of a taxi system was found for dealing with an asymmetric demand pattern. Keywords: agent-based model, taxi simulation, first-in-first-out violation function, asymmetric passenger travel demand ···································································································································································································································

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: N I Pax (T)≤n I Taxi (T) (More Taxies Than Waiting Passengers)mentioning

confidence: 99%

See 1 more Smart Citation

An agent-based simulation model for analyzing the impact of asymmetric passenger demand on taxi service

2010

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“…They highlight the variability in price in a highly competitive marketplace, inconsistent service quality and the potential for exploitation of individual drivers. There is a body of subsequent research which assesses the value of price and quantity regulation in the taxi industry (Cairns & Liston-Heyes, 1996;Chien & Tsai, 2007;Douglas, 1972;Kim & Wang, 2007;Manski & Wright, 1976;Schaller, 2007;Schroeter, 1983;Seibert, 2006b;Tran & Kleiner, 2005;Wong, Wong, Yang, & Wu, 2008;Yang, Wong, & Wong, 2002). These studies take a variety of approaches to evaluate the impact of regulation, optimal price policies and the optimal allocation of taxicabs to an industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Fareplay: An examination of taxicab drivers’ response to dispatch policy

Massow¹,

Canbolat²

2010

Expert Systems with Applications

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“…Specifically, Yang and Wong (1998) proposed a mathematical framework that applies a network model to analyzing urban taxi services. The framework has been further extended to respectively consider demand elasticity and road congestion (Wong et al, 2001), multiple user classes and multiple vehicle modes (Wong et al, 2008), market competition and regulation (Yang et al, 2002), and multi-period dynamic taxi services with endogenous service intensity (Yang et al, 2005b). Recently, the taxi market equilibria with search frictions and bilateral taxi-customer searching and meeting were also investigated (Yang et al, 2010;Yang and Yang, 2011) where meeting functions are utilized to spell out the meeting frictions between customers and taxis with the consideration of the distinct spatial features of areas.…”

Section: Introductionmentioning

confidence: 99%