Browsing by Subject "mode choice"
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Item A continuous time representation and modeling framework for the analysis of nonworker activity-travel patterns: Tour and episode attributes(Transportation Research Board of the National Academies, 2003) Misra, Rajul; Bhat, Chandra R.; Srinivasan, SivaramakrishnanThis paper presents a set of four econometric models to examine the tour and episode-related attributes (specifically mode choice, activity duration, travel times, and location choice) of the activity-travel patterns of non-workers. The paper is a sequel to an earlier work by the authors [see Bhat and Misra (1)], which presented a comprehensive continuous-time framework for representation and analysis of the activity-travel choices of non-workers. That paper also presented detailed descriptions of the first two components of the modeling framework related to the number and sequence of activity episodes. The current paper estimates the proposed models using activity-travel data from the 1990 San Francisco Bay Area travel diary survey.Item A Copula-Based Joint Model of Commute Mode Choice and Number of Non-Work Stops during the Commute(Fabrizio Serra, 2011) Portoghese, Alessandro; Spissu, Erika; Bhat, Chandra R.; Eluru, Naveen; Meloni, ItaloIn this paper, in the spirit of a tour-based frame of analysis, we examine the commute mode choice and the number of non-work stops during the commute. Understanding the mode and activity stop dimensions of weekday commute travel is important since the highest level of weekday traffic congestion in urban areas occurs during the commute periods. The paper employs a copula-based joint multinomial logit – ordered modeling framework in which commute mode choice is modeled using a multinomial logit formulation and the number of commute stops is modeled using an ordered response formulation. The data used in this study are drawn from the “Time use” multipurpose survey conducted between 2002 and 2003 by the Turin Town Council and the Italian National Institute of Statistics (ISTAT) in the Greater Turin metropolitan area of Italy. The results highlight the importance of accommodating the inter-relationship between commute mode choice and commute stops behavior. The results also point to the stronger effect of household responsibilities and demographic characteristics in the Italian context compared to the US context.Item Econometric Calibration of the Joint Time Assignment - Mode Choice Model(Informs, 2008) Munizaga, Marcela; Jara-Diaz, Sergio; Greeven, Paulina; Bhat, Chandra R.This paper describes the derivation and the econometric calibration of a joint time assignment - mode choice model with a microeconomic foundation, to be applied to the TASTI (Time ASsignment Travel and Income) database. The econometric procedure is a full information maximum likelihood with three nonlinear continuous equations and one discrete choice. We use Lee's transformation to include correlations between the continuous and discrete equations. This allows us to estimate (a) the value of time as a resource or value of assigning time to a pleasurable activity, (b) the value of assigning time to work, and (c) the value of assigning time to travel. We apply the method and obtain reasonable results. Finally, we identify some econometric challenges for further research.Item The Impact of Stop-Making and Travel Time Reliability on Commute Mode Choice(Elsevier, 2006) Bhat, Chandra R.; Sardesai, RupaliThis paper uses revealed preference and stated preference data collected from a web-based commuter survey in Austin, Texas, to estimate a commute mode choice model. This model accommodates weekly and daily commute and midday stop-making behavior, as well as travel time reliability. A mixed logit framework is used in estimation. The results emphasize the effects of commute and midday stop-making on commute mode choice. The results also indicate that travel time reliability is an important variable in commute mode choice decisions. The paper applies the estimated model to predict the potential mode usage of a proposed commuter rail option as well as to examine the impact of highway tolls. More generally, the mode choice model can be used to examine a whole range of travel mode-related policy actions for the Austin metropolitan region.Item Student travel mode choice : a case study of students attending the University of Texas at Austin(2014-05) Joseph, Laurel Elise-Walker; Kahn, Terry D.In the last several years, student mode choice has increasingly become an important area of study. Findings from these studies can be applied to regional travel demand modeling efforts, campus planning efforts, and sustainability initiatives, among others. This paper presents an analysis of student mode choice at the University of Texas at Austin, using statistical and geographic information systems analysis, based on the University of Texas Parking and Transportation Services mode choice survey administered during the spring 2014 semester. Results showed that within this sample, more students take alternative modes than drive alone, though the proportion of students driving alone to campus remains substantial. Among other conclusions, analysis also indicated clustering of respondent residential locations, and drive alone hotspots in several zip codes primarily in south/southeast Austin. These results point to a geographic area where it may be beneficial to concentrate resources aimed at inducing drivers to switch to an alternative mode of transportation, in order to support UT’s mobility and sustainability goals.