Can Trip Planner Log Files Analysis Help in Transit Service Planning

Transit trip planners are now found on most transit authority websites. This feature gives transit users a full itinerary from a point of origin to a destination. The web service on which the trip planner is installed usually stores usage logs on a daily basis.Log files contain data on origins, destinations, calculated paths, and other website entries. The purpose of this article is to determine whether the analysis of trip planner log files can help to improve transit service by providing better knowledge on transit users. A website oriented analysis and a transit oriented analysis based on 4 years of observations on the Montreal Transit Commission website are presented. Results show that, even though not all transit users have access to the Internet or use the planner regularly, log files can be useful for identifying new locations to be assessed by a transit system for better understanding user behaviors, and for guiding updates of the geographic information system and the trip planner itself.

[1]  Robert Chapleau Transit Network Analysis and Evaluation with a Totally Disaggregate Approach , 1986 .

[2]  Amelia C. Regan,et al.  IMPACTS OF INFORMATION TECHNOLOGY ON PERSONAL TRAVEL AND COMMERCIAL VEHICLE OPERATIONS : RESEARCH CHALLENGES AND OPPORTUNITIES , 2000 .

[3]  Charles F. Hofacker,et al.  Website-generated Market-research Data , 2001 .

[4]  Martin Trépanier,et al.  Transit Itinerary Calculation on the Web: Based on a Transit User Information System , 2002 .

[5]  Peter Pirolli,et al.  Distributions of surfers' paths through the World Wide Web: Empirical characterizations , 1999, World Wide Web.

[6]  Vipin Kumar,et al.  Discovery of Web Robot Sessions Based on their Navigational Patterns , 2004, Data Mining and Knowledge Discovery.

[7]  M. Trépanier,et al.  Linking Transit Operational Data to Road Network with a Transportation Object-Oriented GIS , 2001 .

[8]  Charles F. Hofacker,et al.  Website-generated market-research data Tracing the tracks left behind by visitors , 2001 .

[9]  Chris T. Kiranoudis,et al.  A GIS-based decision support system for planning urban transportation policies , 2004, Eur. J. Oper. Res..

[10]  Zhong-Ren Peng,et al.  DESIGN AND DEVELOPMENT OF INTERACTIVE TRIP PLANNING FOR WEB-BASED TRANSIT INFORMATION SYSTEMS , 2000 .

[11]  Hassan A. Karimi,et al.  Finding Optimal Bus Service Routes: Internet-Based Methodology to Serve Transit Patrons , 2004 .

[12]  Marti A. Hearst,et al.  The state of the art in automating usability evaluation of user interfaces , 2001, CSUR.

[13]  Kate Smith-Miles,et al.  Web page clustering using a self-organizing map of user navigation patterns , 2003, Decis. Support Syst..

[14]  Y. Lacasse,et al.  From the authors , 2005, European Respiratory Journal.

[15]  Martin Trépanier,et al.  Transit Path Calculation Supported by Special Geographic Information System-Transit Information System: , 1996 .

[16]  Michael F. Goodchild,et al.  GIS and Transportation: Status and Challenges , 2000, GeoInformatica.