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Urban taxi goodness index and system implementation of GIS

  • Shanghai Jiao Tong University
  • University of Florida

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The main scheduling strategy method of existing taxi operation system focuses on the location and possible distribution of idling taxies, which leads to problems as low operation efficiency, high idling rate and long passenger waiting time arise. The taxi operation system encounters a great challenge without a comprehensive evaluation system. Using the floating car data (FCD) and geographic simulation platform, this paper proposes a system to quantify the goodness of existing urban taxi system and the relationship between supply and demand with the assistanceof GIS technology. This evaluation system reflects the overall operation and efficiency in aspects of urban road network, passenger and taxi-driver satisfaction, contributing to improving the organization and operation. Based on the one-month data obtained from Shenzhen (Dec., 2011), China, an empirical example is provided in the environment of ArcGIS 10. The system performs a good multi-dimensional analysis about the existing system, which consequently assists to improve future management efficiency of urban taxi system.

Original languageEnglish
Pages (from-to)87-96
Number of pages10
JournalJiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology
Volume13
Issue number1
StatePublished - Feb 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Floating car data (FCD)
  • Geographic information system (GIS)
  • Principle component analysis (PC A)
  • Taxi evaluation system
  • Urban traffic

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