Publication Detail
Impact of Traffic Information on Commuters' Behavior: Empirical Results from Southern California and Their Implications for ATIS
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UCD-ITS-RP-94-16 Presentation Series Download PDF |
Suggested Citation:
Abdel-Aty, Mohamed A., Kenneth M. Vaughn, Paul P. Jovanis, Ryuichi Kitamura, F. L. Mannering (1994) Impact of Traffic Information on Commuters' Behavior: Empirical Results from Southern California and Their Implications for ATIS. Institute of Transportation Studies, University of California, Davis, Presentation Series UCD-ITS-RP-94-16
Moving Toward Deployment: Proceedings, IVHS America 1994 Annual Meeting, Atlanta, GA. Vol. 2
This paper presents a statistical analysis of commuters' travel behavior, information use and their impact on the development of Advanced Traveler Information Systems (ATIS). The analysis is based on a 1992 computer-aided telephone interview survey of Los Angeles area morning commuters. Cross tabulations are performed on the data to explore interrelationships among variables and provide a basis for subsequent model estimation.
Two models are estimated. The first is a multinomial logit model of whether a commuter receives both pre-trip and enroute traffic information, only pre-trip information, only enroute information, or doesn't receive any information. The second model is a bivariate probit of whether an individual receives pre-trip information and whether the individual receives enroute information. The estimation results of the logit model showed significant effect of several commute characteristics and socioeconomic attributes on the choice to receive traffic information either enroute, pre-trip, or both. Freeway use and commute time are among the factors that increase the likelihood of receiving traffic information; the model also showed significant effect of gender and education on the willingness to acquire and use information.
Bivariate probit models not only supported the results of the logit model but also indicated very significant relation between the propensity of receiving enroute and pre-trip information. The results indicate that commuters who receive pre-trip traffic information are less likely to receive enroute information as well, suggesting the significance of pre-trip information.
This paper presents a statistical analysis of commuters' travel behavior, information use and their impact on the development of Advanced Traveler Information Systems (ATIS). The analysis is based on a 1992 computer-aided telephone interview survey of Los Angeles area morning commuters. Cross tabulations are performed on the data to explore interrelationships among variables and provide a basis for subsequent model estimation.
Two models are estimated. The first is a multinomial logit model of whether a commuter receives both pre-trip and enroute traffic information, only pre-trip information, only enroute information, or doesn't receive any information. The second model is a bivariate probit of whether an individual receives pre-trip information and whether the individual receives enroute information. The estimation results of the logit model showed significant effect of several commute characteristics and socioeconomic attributes on the choice to receive traffic information either enroute, pre-trip, or both. Freeway use and commute time are among the factors that increase the likelihood of receiving traffic information; the model also showed significant effect of gender and education on the willingness to acquire and use information.
Bivariate probit models not only supported the results of the logit model but also indicated very significant relation between the propensity of receiving enroute and pre-trip information. The results indicate that commuters who receive pre-trip traffic information are less likely to receive enroute information as well, suggesting the significance of pre-trip information.