Measurement of intention to travel: Considering the effect of telecommunications on trips

Mobility, one of the key concepts to evaluate the effect of a transportation policy such as TDM and mobility management as well as to analyze the problems such as social exclusion, must be measured by how much of an intention to make a trip can be realized, not merely by how many trips are available. The advent of new communication tools such as the Internet and mobile phones has allowed one to accomplish certain tasks that previously required a trip. This new situation has brought up a discussion over the necessity to incorporate telecommunications as an aspect of mobility. Aware of such discussions, we analyzed the relationship between the number of trips and telecommunications based on the data we collected on trips, telecommunications, and activities, and found some significant correlations. Our study which used an ordered regression model found several significant relationships between the individual attributes and the number of trips/telecommunications. We formulated a model which assumes the latent factors among the trips and telecommunications. In addition, we found that the latent factors construable as intentions to trips and telecommunications could be measured better by e-mails than by trips. These results indicate that measuring mobility requires the inclusion of information about telecommunications.

[1]  Frank S. Koppelman,et al.  Teleshopping or Store Shopping? A Choice Model for Forecasting the Use of New Telecommunications-Based Services , 1991 .

[2]  M. Dijst,et al.  Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping , 2007 .

[3]  T F Golob,et al.  TRAVELBEHAVIOR.COM : ACTIVITY APPROACHES TO MODELING THE EFFECTS OF INFORMATION TECHNOLOGY ON PERSONAL TRAVEL BEHAVIOR , 2000 .

[4]  Patricia L. Mokhtarian,et al.  A Typology of Relationships Between Telecommunications and Transportation , 1990 .

[5]  Harry Timmermans,et al.  Progress in Activity-Based Analysis , 2005 .

[6]  P. Mokhtarian Telecommunications and Travel: The Case for Complementarity , 2002 .

[7]  Konstadinos G. Goulias,et al.  Travel Behavior Implications of Information and Communications Technology in Puget Sound Region , 2001 .

[8]  C Cluett,et al.  IMPACT OF NEW INFORMATION AND COMMUNICATION TECHNOLOGIES ON TRANSPORTATION AGENCIES , 2001 .

[9]  Kazuo Nishii,et al.  Recent Developments in Activity Diary-Based Surveys and Analysis: Some Japanese Case Studies , 2005 .

[10]  Brett E. Koenig,et al.  The Travel and Emissions Impacts of Telecommuting for the State of California Telecommuting Pilot Project , 1995 .

[11]  Hedley Rees,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1985 .

[12]  Torsten Hägerstraand WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[13]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .

[14]  Patricia L. Mokhtarian,et al.  A Synthetic Approach to Estimating the Impacts of Telecommuting on Travel , 1997 .

[15]  Glenn Lyons,et al.  Gathering empirical evidence on the impacts of ICTs: using 'accessibility diaries' to investigate the changing nature of Internet use, personal travel and participation in activities , 2004 .

[16]  Ilan Salomon,et al.  Telecommunications and travel relationships: a review , 1986 .

[17]  P. Schmidt,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .