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.
NIAN Guangyue1,2 (年光跃), LI Zhe2,3 (李喆), ZHU Weiquan4 (朱伟权), SUN Jian1,2* (孙健)
. Analyzing Behavior Differences of Occupied and Non-Occupied Taxi Drivers Using Floating Car Data[J]. Journal of Shanghai Jiaotong University(Science), 2017
, 22(6)
: 682
-687
.
DOI: 10.1007/s12204-017-1890-9
[1] Beijing Transportation Research Center. 2015 Beijingtransport annual report [EB/OL]. (2016-04-06).http://www.bjtrc.org.cn/InfoCenter/NewsAttach/aeb7c878-d31e-4f08-982f-3c17c717c87b.pdf.
[2] BOGERS E A I, VITI F, HOOGENDOORN S P. Jointmodeling of ATIS, habit and learning impacts on routechoice by laboratory simulator experiments [J]. TransportationResearch Record: Journal of the TransportationResearch Board, 2004(1926): 189-197.
[3] AVINERI E, PRASHKER J N. Sensitivity to traveltime variability: Travelers’ learning perspective [J].Transportation Research Part C: Emerging Technologies,2005, 13(2): 157-183.
[4] BOVY P H L, STERN E. Route choice: Way findingin transport networks [M]. Berlin: Springer, 1990.
[5] MIWA T, SAKAI T, MORIKAWA T. Route identificationand travel time prediction using probe-car data[J]. International Journal of ITS Research, 2004, 2(1):21-28.
[6] BEN-ELIA E, EREV I, SHIFTAN Y. The combined,effect of information and experience on drivers’ routechoicebehavior [J]. Transportation, 2008, 35(2): 165-177.
[7] BEN-ELIA E, SHIFTAN Y. Which road do I take?A learning-based model of route-choice behavior withreal-time information [J]. Transportation ResearchPart A: Policy and Practice, 2010, 44(4): 249-264.
[8] BARRON G, EREV I. Small feedback-based decisionsand their limited correspondence to description-baseddecisions [J]. Journal of Behavioral Decision Making,2003, 16(3): 215-233.
[9] EREV I, BARRON G. On adaptation, maximization,and reinforcement learning among cognitive strategies[J]. Psychological Review, 2005, 112(4): 912-931.
[10] MOREAU A. Public transport waiting times as experiencedby customers [J]. Public Transport International,1992, 41(3): 52-71.
[11] RAGHUBIR P, MORWITZ V G, CHAKRAVARTI A.Spatial categorization and time perception: Why doesit take less time to get home? [J]. Journal of ConsumerPsychology, 2011, 21(2): 192-198.
[12] TILAHUN N Y, LEVINSON D M. A moment of time:Reliability in route choice using stated preference [J].Journal of Intelligent Transportation Systems, 2010,14(3): 179-187.
[13] BOGERS E A I, BIERLAIRE M, HOOGENDOORNS P. Modeling learning in route choice [J]. TransportationResearch Record: Journal of the TransportationResearch Board, 2007( 2014): 1-8.
[14] PAPINSKI D, SCOTT D M, DOHERTY S T. Exploringthe route choice decision-making process: A comparisonof planned and observed routes obtained usingperson-based GPS [J]. Transportation Research PartF: Traffic Psychology and Behavior, 2009, 12(4): 347-358.
[15] SUN D J, LIU Q, PENG Z R. Research and analysis oncausality and spatial-temporal evolution of urban trafficcongestions: A case study on Shenzhen of China [J].Journal of Transportation Systems Engineering andInformation Technology, 2011, 11(5): 86-93.
[16] SUN D J, ZHANG C, ZHANG L H, et al. Urban travelbehavior analyses and route prediction based on floatingcar data [J]. Transportation Letters: The InternationalJournal of Transportation Research, 2014, 6(3):118-125.
[17] CASCETTA E, RUSSO F, VIOLA F A, et al. A model of route perception in urban road networks[J].Transportation Research Part B: Methodological,2002, 36(7): 577-592.
[18] PRATO C G. Route choice modeling: Past, presentand future research directions [J]. Journal of ChoiceModel, 2009, 2(1): 65-100.
[19] HOOD J, SALL E, CHARLTON B. A GPS-based bicycleroute choice model for San Francisco, California[J]. Transportation Letters: The International Journalof Transportation Research, 2011, 3(1): 63-75.
[20] SPISSU E, MELONI I, SANJUST B. A behavioralanalysis of daily route choice using GPS-based-data [J].Transportation Research Record: Journal of the TransportationResearch Board, 2011(2230): 96-103.
[21] LI D, MIWA T, MORIKAWA T. Use of private probedata in route choice analysis to explore heterogeneityin drivers’ familiarity with origin-destination pairs [J].Transportation Research Record: Journal of the TransportationResearch Board, 2013(2338): 20-28.
[22] ZHANG D Z, SUN D J, PENG Z R. A comprehensivetaxi assessment index using floating car data [J].Journal of Harbin Institute of Technology, 2014, 21(1):7-16.
[23] RAHMANI M, JENELIUS E, KOUTSOPOULOS HN. Non-parametric estimation of route travel time distributionsfrom low-frequency floating car data [J].Transportation Research Part C: Emerging Technologies,2015, 58: 343-362.
[24] MCFADDEN D. Conditional logit analysis of qualitativechoice behavior [C]//Frontiers in Econometrics.New York: Academic Press, 1974: 105-142.
[25] SUN D J, ELEFTERIADOU L. A driver behaviorbased lane-changing model for urban arterial streets[J]. Transportation Science, 2014, 48(2): 184-205.
