Transportation mode choice is often expressed in terms of models which assume rational choice; psychological case studies of mode adoption are comparatively rare. We present findings from a study of the psychology of adoption for sustainable transportation modes such as bicycles, car sharing, and mass transit. Case studies were conducted with current and former participants in PSU’s ‘Passport Plus’ transit pass program, as well as a longitudinal cohort study of first-time winter bicycle commuters. Composite sequence analysis was used to construct a theory of the adoption process for these modes. Our findings suggest that mode evaluation is cognitively distinct from mode selection and has different information requirements. We conclude that public and private organizations could improve the adoption rate for these modes by tailoring their communication strategies to match the commuter’s stage of adoption.
The video begins at 9:01.
The proliferation of information technology in the transportation field has opened up opportunities for communication and analysis of the performance of transportation facilities. The Highway Capacity Manual relies on rules of thumb and small data samples to generate levels of service to assess performance, but modern detection technology gives us the opportunity to better capture the dynamism of these systems and examine their performance from many perspectives. Travelers, operations staff, and researchers can benefit from measurements that provide information such as travel time, effectiveness of signal coordination, and traffic density. In particular, inductive loop detectors show promise as a tool to collect the data necessary to generate such information. But while their use for this purpose on restricted‐access facilities is well understood, a great many challenges remain in using loop detectors to measure the performance of surface streets.
This thesis proposes 6 methods for estimating arterial travel time. Estimates are compared to simulated data visually, with input/output diagrams; and statistically, with travel times. Methods for estimating travel time are applied to aggregated data and to varying detector densities and evaluated as above. Conclusions are drawn about which method provides the best estimates, what levels of data aggregation can still provide useful information, and what the effects of detector density are on the quality of estimates....Read more
Modeling transportation basically involves development of relationship between the demand for transportation and the land-use, socio-economic and transportation system characteristics. The Indian socio-economic and transportation system characteristics are highly complex and wide ranging and hence, formulation and quantification of appropriate causal variables for modeling is a challenging task. The first part of the talk will focus on this aspect. The traffic on Indian roads is highly heterogeneous and the vehicles move on the roads without any lane or queue discipline. Hence, the commonly adopted procedure to model lane based traffic flow is not applicable for modeling this type of traffic comprising vehicles of wide ranging static and dynamic characteristics. The approach to modeling of this type of traffic flow is distinctly different. An appropriate methodology for modeling heterogeneous traffic flow has recently been developed at Indian Institute of Technology Madras and the same be will discussed in the second part of the presentation.
Dr. V. Thamizh Arasan, Professor and Head, Transportation Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India, has been involved in teaching, research and consultancy, in the area of Transportation Engineering for the past two and a half decades. Traffic Simulation and Travel Demand Modeling are the areas of his research interest, and he has guided several Ph. D....Read more
The video begins at 0:52.
Abstract: This presentation considers co-evolutionary process between the development of land and transport networks. Using data from the rail and Underground in London and the streetcar system in the Twin Cities, the empirical relationship is established statistically under several different contexts, and hypotheses about the positive feedback nature of the interaction are tested. Using insights from empirical observation, a numerical simulation is constructed to more formally test the relationship, and to understand the extent to which allowing networks to vary in response to land use (and land use to vary in response to network) affects the spatial organization of each. Models of network growth which fix land use, and models of land use which fix network growth, underestimate the degree of hierarchy that emerges in the system. Given transportation creates land value, and recognizing the problem of underfunding transport infrastructure, new funding sources can be used to increase transport investment, create additional land value, and improve social welfare.
Prof. David Levinson serves on the faculty of the Department of Civil, Environmental, and Geo- Engineering at the University of Minnesota and directs the Networks, Economics, and Urban Systems (NEXUS) research group. He holds the Richard P. Braun/CTS Chair in Transportation. He also serves on the graduate faculty of...Read more
The video begins at 2:53.
Abstract: The concept of accessibility has long been theorized as a principal determinant of household residential choice behavior. Research on this influence is extensive but the empirical results have been mixed, with some research suggesting that accessibility is becoming a relatively insignificant influence on housing choices. Further, the measurement of accessibility must contend with complications arising from the increasing prevalence of trip-chains, non-work activities, and multi-worker households, as well as reconcile person-specific travel needs with household residential decisions. This paper contributes to the literature by addressing the gap framed by these issues and presents a novel residential choice model with three main elements of innovation. First, it operationalized a time-space prism (TSP) accessibility measure, which the authors believe to be the first application of its kind in a residential choice model. Second, it represented the choice sets in a building-level framework, the lowest level of spatial disaggregation available for modeling residential choices. Third, it explicitly examined the influence of non-work accessibility at both the local- and person-...Read more
Abstract: We study the impact on productivity of a specific operating practice currently adopted by some demand responsive transit (DRT) providers. We investigate the effect of using a zoning vs. a no-zoning strategy on performance measures such as total trip miles, deadhead miles and fleet size. It is difficult to establish closed form expressions to assess the impact on the performance measures of a specific zoning practice for a real transportation network. Thus, we conduct this study through a simulation model of the operations of DRT providers on a network based on data for DRT service in Los Angeles County.
The video begins at 2:26.
No archived materials are available for this presentation.
No archived materials are available for this presentation.