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Low data intensive models for supporting taxi policy making: a case study in Cyprus

Author

Listed:
  • Glykeria Myrovali
  • Josep Maria Salanova Grau
  • Thanasis Gkoutzikas
  • Aristotelis Savvas

Abstract

Taxi industries are present everywhere around the world providing door-to-door mobility services. The type of services and policies that apply to the taxi sector vary significantly from city to city, ranging from controlled environments with strong restrictions to open and more competitive markets. Decision makers responsible for taxi policy making are supported by economic models of the taxi sector in most cases. In some cases, the lack of available data does not allow for having such models and therefore decision making is based on assumptions, failing some times in establishing taxi services of quality. This paper presents a three-step methodology for defining solutions of Cypriot taxi industry. Based on the results of the abovementioned steps, the paper concludes with the development of alternative viability assessment methodologies for taxi industry and some proposals for the re-formation of taxi services including also pricing policies in Cypriot environment.

Suggested Citation

  • Glykeria Myrovali & Josep Maria Salanova Grau & Thanasis Gkoutzikas & Aristotelis Savvas, 2021. "Low data intensive models for supporting taxi policy making: a case study in Cyprus," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 13(4), pages 394-418.
    • Handle: RePEc:ids:ijidsc:v:13:y:2021:i:4:p:394-418
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