Abstract
Recent mathematical models have been developed to explain and predict travel demand; they attempt to describe travel behavior via social science research techniques and theory. Two studies are reviewed which concern the analysis and use of attitudinal data to further enhance the understanding of urban travel. The first study's main objective is to develop a set of quantitative measures of comfort in order to describe that particular aspect of competing modes of intraurban travel. The second study analyzed a set of preference data collected as part of a feasibility study for innovative urban public transportation systems. Both studies employed multidimensional scaling techniques.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
