Representation of a dynamic timetable to improve the efficiency of shuttle Taxis (Case Study: Tehran, Sadeghiyeh Square to Azad Islamic University TAXI line, at 11:30 am to 15:00 pm)

Articles in Press

Document Type : Scientific - Research

Authors

1 road and transportation group, Technical College, Science and Research University, Tehran, Iran

2 Amirkabir University of Technology

3 Department of Civil Engineering, Arts and Architecture, Azad University

Abstract

The 22% share of taxis in urban passenger trips, in a city like Tehran, addresses the major role of the TAXI operation system compared to other competitive transport modes. Despite the apparent difference in the model of taxi operation in Iran compared to other countries, adequate researches have not been taken to assess how to increase the efficiency of operation of Taxis. Among the different functions of TAXIs, shuttle TAXIs could be addressed as one of the important ones. The result of this situation is that in the cities of Iran, the time spent by passengers is greatly wasted until the completion of the taxis' capacity during non-peak hours, and hence the decrease of the level of utility of taxis for passengers. Similarly, at peak hours, TAXIs engage in heavy traffic during these hours, causing long wait times for travelers to access a shuttle TAXI. The present study suggests that if regular scheduling for TAXI movements and changing the way taxis work from time response to time scheduled, then increasing the utility of this user for demand could also increase the income of active shuttle TAXIs. Results indicate that by inserting the proposed time table the income of each driver would be increased up to 21% whereas the average waiting time of passengers to get the TAXI at origin/destination stations would not be worsened meaningfully (average waiting time would decrease 26 seconds at Sadeghieh station and increases 14 seconds at the university station).

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Main Subjects

Quarterly Journal of Transportation Engineering

Articles in Press, Accepted Manuscript
Available Online from 04 December 2018

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History

  • Receive Date: 11 June 2018
  • Revise Date: 28 November 2018
  • Accept Date: 01 December 2018

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