A review of the modeling of taxi services

Grau, Josep Maria Salanova; Estrada, Miquel; Aifadopoulou, Georgia; Mitsakis, Evangelos

doi:10.1016/j.sbspro.2011.08.020

Cited by 76 publications

(44 citation statements)

References 29 publications

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“…For the base case, we assume that the average daily trip demand is k = 1500 trips/h, which is in line with a mid-size city such as Barcelona (Salanova et al, 2011). In turn, the peak trip demand is K = 3750 trips/h.…”

Section: City Characteristicsmentioning

confidence: 99%

The optimal design and cost implications of electric vehicle taxi systems

Sathaye¹

2014

Transportation Research Part B: Methodological

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Section: City Characteristicsmentioning

confidence: 99%

The optimal design and cost implications of electric vehicle taxi systems

Sathaye¹

2014

Transportation Research Part B: Methodological

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“…Taxi fare are regulated in most European countries, and entry regulation were established in some countries such as Belgium, Italy, France, etc. [6]. In some other countries, deregulation policy showed great impact on taxi industry.…”

Section: Introductionmentioning

confidence: 99%

A data-driven quantitative assessment model for taxi industry: the scope of business ecosystem’s health

Zhang

Zhong

Jiang

2017

Eur. Transp. Res. Rev.

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Introduction The taxi industry has boomed over the years, both in street-hail and dispatch market. However, few studies focus on comprehensive perspectives, which make decisions such as implementing regulative or incentive policies difficult. As an economic community working in the value-oriented process, the taxi industry requires a holistic performance evaluation to determine how to adapt strategies to survive and grow. Methods This paper proposed the concept BTaxi Industry Health degree^based on the theory of Business Ecosystem and the evaluation of its health. A four-layer criteria set is developed from aspects of robustness, productivity and sustainability, and weights are determined through Analytic Hierarchy Process. Results A synthetic evaluating model combining Fuzzy Comprehensive Evaluation and Artificial Neural Network is used to maintain the goal of multi-criteria decision-making. With the GPS and Taximeter dataset of taxicabs in the whole taxi industry in Wuxi, the model is applied to empirical studies. Conclusions This paper provides sensibility analysis on not only the company's order volatility, revenue growth and utilization of resources, but also influence on citizen's welfare, energy consumption and environmental pollution, which enables practical regulations and policies within taxi industry.

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“…The taxi market has been traditionally regulated in terms of fares and entry control. This regulation is commonly justified by the protection of the taxi drivers' incomes and the externalities (pollution and congestion) caused by the circulating taxis (Salanova et al, 2011). Meanwhile, advanced technologies have also been established to improve the efficiency of the overall taxi system (e.g., Horn, 2002;Miwa et al, 2013;Jung et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…From the early 70s many studies on taxis have been published. See Salanova et al (2011) for a comprehensive review of these studies. One group of prior studies investigated the profitability, regulation and deregulation of taxi market through utilizing highly aggregated models without the consideration of the spatial structure of the market (e.g., Douglas, 1972;De vany, 1975;Hackner and Nyberg, 1995;Arnott, 1996;Cairns and Liston-Heyes, 1996;Flores-Guri, 2003;Fernandez et al, 2006;Moore and Balaker, 2006).…”

Section: Introductionmentioning

confidence: 99%