Stated preference applied to market research for travel information systems: A case study for Athens urban area

The continuous growth of the transportation sector, along with the intensified use of private mobility, has lead the Greek urban transport networks almost to saturation. The provision of travel information together with efficient travel management measures can significantly contribute to cleaner and more efficient urban networks.

[1]  H. Mahmassani,et al.  Tripmaker choice behavior for shopping trips under real-time information: model formulation and results of stated-preference internet-based interactive experiments , 2003 .

[2]  Harry J. P. Timmermans,et al.  Route Choice under Uncertainty , 2008 .

[3]  Moshe Ben-Akiva,et al.  Impact of Advanced Public Transportation Systems on Travel by Dial-a-Ride , 1996 .

[4]  Jane Lappin,et al.  Advanced Traveler Information Service (ATIS): Who are ATIS Customers? , 2000 .

[5]  Hai Yang,et al.  Modeling user adoption of advanced traveler information systems: dynamic evolution and stationary equilibrium , 2001 .

[6]  J Lappin,et al.  UNDERSTANDING AND PREDICTING TRAVELER RESPONSE TO INFORMATION: A LITERATURE REVIEW , 2001 .

[7]  Jun Ma,et al.  A dynamic analysis of person and household activity and travel patterns using data from the first two waves in the Puget Sound Transportation Panel , 1997 .

[8]  Moshe E Ben-Akiva,et al.  THE EFFECT OF ADVANCED TRAVELER INFORMATION SYSTEMS (ATIS) ON TRAVELERS BEHAVIOR. IN: BEHAVIORAL AND NETWORK IMPACTS OF DRIVER INFORMATION SYSTEMS , 1999 .

[9]  P. Nijkamp,et al.  Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour , 1996 .

[10]  Jane Lappin,et al.  Why don't more people use advanced traveler information? Evidence from the Seattle area , 2005 .

[11]  Hani S. Mahmassani,et al.  DYNAMICS OF COMMUTING DECISION BEHAVIOR UNDER ADVANCED TRAVELER INFORMATION SYSTEMS , 1999 .

[12]  Fabrice Marchal,et al.  Measurement of Uncertainty Costs with Dynamic Traffic Simulations , 2008 .

[13]  J. Lappin,et al.  Comparative Analysis of Customer Response to Online Traffic Information in Two Cities: Los Angeles, California, and Seattle, Washington , 2004 .

[14]  Kasem Choocharukul Effects of Attitudes and Socioeconomic and Travel Characteristics on Stated Route Diversion , 2008 .

[15]  G. Lyons,et al.  What Affects Use of Pretrip Public Transport Information? , 2008 .

[16]  M. Taniguchi,et al.  Incorporating an information acquisition process into a route choice model with multiple information sources , 1999 .

[17]  K G Goulias A DYNAMIC ANALYSIS OF ACTIVITY AND TRAVEL PATTERNS , 1999 .

[18]  James Lewis,et al.  Assessing and Influencing Driver Attitudes in the United Kingdom , 2009 .

[19]  Asad J. Khattak,et al.  Modeling Revealed and Stated En-Route Travel Response to Advanced Traveler Information Systems , 1996 .

[20]  Antti Talvitie,et al.  Things planners believe in, and things they deny , 1997 .

[21]  G. Lyons,et al.  What affects pre-trip public transport information use? Empirical results of a qualitative study , 2008 .

[22]  E. Molin,et al.  Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature , 2006 .

[23]  Isam Kaysi,et al.  INFLUENCE OF TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE BEHAVIOR , 1993 .

[24]  Tomer Toledo,et al.  Evaluation of the Potential Benefits of Advanced Traveler Information Systems , 2006, J. Intell. Transp. Syst..

[25]  K. G. Goulias,et al.  A decade of longitudinal travel behavior observation in the Puget Sound region: sample composition, summary statistics, and a selection of first order findings , 2003 .

[26]  William H. K. Lam,et al.  Modeling the Market Penetration of Personal Public Transport Information System in Hong Kong , 2005, J. Intell. Transp. Syst..