Journal of Shanghai Jiao Tong University (Science) ›› 2017, Vol. 22 ›› Issue (6): 682-687.doi: 10.1007/s12204-017-1890-9

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Analyzing Behavior Differences of Occupied and Non-Occupied Taxi Drivers Using Floating Car Data

Analyzing Behavior Differences of Occupied and Non-Occupied Taxi Drivers Using Floating Car Data

NIAN Guangyue1,2 (年光跃), LI Zhe2,3 (李喆), ZHU Weiquan4 (朱伟权), SUN Jian1,2* (孙健)   

  1. (1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Center for UAV Applications and ITS Research, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 3. Shanghai Municipal Transportation Design Institute Co. Ltd., Shanghai 200030, China; 4. Shenzhen Transportation Design and Research Institute Co. Ltd., Shenzhen 518003, Guangdong, China)
  2. (1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Center for UAV Applications and ITS Research, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 3. Shanghai Municipal Transportation Design Institute Co. Ltd., Shanghai 200030, China; 4. Shenzhen Transportation Design and Research Institute Co. Ltd., Shenzhen 518003, Guangdong, China)
  • Online:2017-12-01 Published:2017-12-03
  • Contact: SUN Jian (孙健) E-mail:danielsun@sjtu.edu.cn

Abstract: As the travel purpose of non-occupied taxies is to find new passengers rather than to arrive at the destination, large differences exist in the route choice behavior between the occupied and non-occupied taxies. With the assistance of geographic information system (GIS) and taxi-based floating car data (FCD), this paper investigates the behavior differences between occupied and non-occupied taxi drivers with the same origin and destination. Descriptive statistical indexes from the FCD in Shenzhen, China are explored to identify the route choice characteristics of occupied and non-occupied taxies. Then, a conditional logit model is proposed to model the quantitative relationship between drivers’ route choice and the related significant variables. Attributes of the variables related to non-occupied taxies’ observed routes are compared with the case of occupied ones. The results indicate that, compared with their counterparts, non-occupied taxi drivers generally pay more attention to choosing arterial roads and avoiding congested segments. Additionally, they are also found less sensitive to fewer traffic lights and shorter travel time. Findings from this research can assist to improve urban road network planning and traffic management.

Key words: non-occupied taxies| route choice behavior| floating car data (FCD)| geographic information system (GIS)

摘要: As the travel purpose of non-occupied taxies is to find new passengers rather than to arrive at the destination, large differences exist in the route choice behavior between the occupied and non-occupied taxies. With the assistance of geographic information system (GIS) and taxi-based floating car data (FCD), this paper investigates the behavior differences between occupied and non-occupied taxi drivers with the same origin and destination. Descriptive statistical indexes from the FCD in Shenzhen, China are explored to identify the route choice characteristics of occupied and non-occupied taxies. Then, a conditional logit model is proposed to model the quantitative relationship between drivers’ route choice and the related significant variables. Attributes of the variables related to non-occupied taxies’ observed routes are compared with the case of occupied ones. The results indicate that, compared with their counterparts, non-occupied taxi drivers generally pay more attention to choosing arterial roads and avoiding congested segments. Additionally, they are also found less sensitive to fewer traffic lights and shorter travel time. Findings from this research can assist to improve urban road network planning and traffic management.

关键词: non-occupied taxies| route choice behavior| floating car data (FCD)| geographic information system (GIS)

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