1,721,082 research outputs found
sj-docx-1-trr-10.1177_03611981231163861 – Supplemental material for Investigating Residential Built Environment Effects on Rank-Based Modal Preferences and Auto-Ownership
No full textSupplemental material, sj-docx-1-trr-10.1177_03611981231163861 for Investigating Residential Built Environment Effects on Rank-Based Modal Preferences and Auto-Ownership by Aupal Mondal and Chandra R. Bhat in Transportation Research Record</p
sj-pdf-1-trr-10.1177_03611981221087233 – Supplemental material for Impact of the COVID-19 Pandemic on Activity Time Use and Timing Behavior in Switzerland
No full textSupplemental material, sj-pdf-1-trr-10.1177_03611981221087233 for Impact of the COVID-19 Pandemic on Activity Time Use and Timing Behavior in Switzerland by Raphael Mesaric, Aupal Mondal, Katie Asmussen, Joseph Molloy, Chandra R. Bhat and Kay W. Axhausen in Transportation Research Record</p
sj-pdf-1-trr-10.1177_03611981231201111 – Supplemental material for Multidimensional Analysis of Willingness to Share Rides in a Future of Autonomous Vehicles
No full textSupplemental material, sj-pdf-1-trr-10.1177_03611981231201111 for Multidimensional Analysis of Willingness to Share Rides in a Future of Autonomous Vehicles by Tassio B. Magassy, Irfan Batur, Aupal Mondal, Katherine E. Asmussen, Chandra R. Bhat and Ram M. Pendyala in Transportation Research Record</p
A New Econometric Approach to Multivariate Count Data Modeling
Full text linkAt the time of publication Chandra R. Bhat and Marisol Castro were at the University of Texas at Austin, and Rajesh Paleti was at Parsons Brinckerhoff.In the current paper, we propose a modeling framework to explicitly link a count data model with an event type multinomial choice model. The proposed framework uses a multinomial probit kernel for the event type choice model and introduces unobserved heterogeneity in both the count and discrete choice components. Additionally, this paper establishes several new results regarding the distribution of the maximum of multivariate normally distributed variables, which form the basis to embed the multinomial probit model within a joint modeling system for multivariate count data. The model is applied for analyzing out-of-home non-work episodes pursued by workers, using data from the National Household Travel Survey.Civil, Architectural, and Environmental Engineerin
sj-pdf-1-trr-10.1177_03611981231166942 – Supplemental material for Evolution of Mode Use During the COVID-19 Pandemic in the United States: Implications for the Future of Transit
No full textSupplemental material, sj-pdf-1-trr-10.1177_03611981231166942 for Evolution of Mode Use During the COVID-19 Pandemic in the United States: Implications for the Future of Transit by Tassio B. Magassy, Irfan Batur, Aupal Mondal, Katherine E. Asmussen, Chandra R. Bhat, Deborah Salon, Matthew Bhagat-Conway, Mohammadjavad Javadinasr, Rishabh Chauhan, Abolfazl (Kouros) Mohammadian, Sybil Derrible and Ram M. Pendyala in Transportation Research Record</p
A Multivariate Hurdle Count Data Model with an Endogenous Multiple Discrete- Continuous Selection System
Full text linkAt the time of publication Chandra R. Bhat, Subodh K. Dubey, and Raghuprasad Sidharthan were at the University of Texas at Austin, and Prerna C. Bhat was at Harvard University.This paper proposes a new econometric formulation and an associated estimation method for
multivariate count data that are themselves observed conditional on a participation selection
system that takes a multiple discrete-continuous model structure. This leads to a joint model
system of a multivariate count and a multiple discrete-continuous selection system in a hurdletype
model. The model is applied to analyze the participation and time investment of households
in out-of-home activities by activity purpose, along with the frequency of participation in each
selected activity. The results suggests that the number of episodes of activities as well as the time
investment in those activities may be more of a lifestyle- and lifecycle-driven choice than one
related to the availability of opportunities for activity participation.Civil, Architectural, and Environmental Engineerin
An annual time use model for domestic vacation travel
Full text linkAt the time of publication Jeffrey LaMondia and Chandra R. Bhat were at the University of Texas at Austin and David A. Hensher was at the University of Sydney.Vacation travel in the USA, which constitutes about 25% of all long-
distance travel, has been increasing consistently over the past two decades
and warrants careful attention in the context of regional and statewide transportation air quality planning and policy analysis, as well as tourism marketing and service provision strategies. This paper contributes to the vacation
travel literature by examining how households decide what vacation travel
activities to participate in on an annual basis, and to what extent, given the
total annual vacation travel time that is available at their disposal. To our
knowledge, this is the first comprehensive modeling exercise in the literature
to undertake such a vacation travel time-use analysis to examine purpose-specific time investments. A mixed multiple discrete-continuous extreme
value (MDCEV) model structure that is consistent with the notion of "optimal arousal" in vacation type time-use decisions is used in the analysis.
The data for the empirical analysis is drawn from the 1995 American Travel
Survey (ATS). The results show that most households participate in different types of domestic vacation travel over the course of a year, and spend
significantly different amounts of time on each type of vacation travel, based
on household demographics, economic characteristics, and residence characteristics.Civil, Architectural, and Environmental Engineerin
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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