published journal article
Simultaneous-equation systems involving binary choice variables
Geographical Analysis
Publication Date
September 1, 2010
Archives: Research Products
Preprint Journal Article
Determinants of Mode Choice and Forgoing Travel for Mobility-of-Care Trips by Caregivers in California
Publication Date
September 27, 2025
Associated Project
Author(s)
Areas of Expertise
Abstract
Caregivers, especially those living in rural areas, often face unique challenges due to the responsibility of managing the mobility needs of the people in their care. While most transportation research focuses on individual travelers, mobility-of-care trips remain underexplored, despite their importance to public health. This study aims to assess the determinants of mode choice and trip-making behaviors among caregivers in California, focusing on mobility-of-care trips both for healthcare and social recreation. Collaborating with the nonprofit organization Ohana Center, this Community Based Participatory Research applies a mixed methods approach. First, using stated preference survey data from 349 caregivers (4188 observations) in California, collected in May 2025, we estimate an integrated choice and latent variable (ICLV) model to examine determinants of mode choice and trip-skipping behavior. Then, we conduct a series of three workshops with community leaders with caregiving expertise in semirural Antelope Valley to gain deeper insights into place-based transportation barriers and potential solutions. Our findings reveal that travel cost, travel time, and wait time significantly affect decision-making across all modes, while walk time, cleanliness, and ADA accessibility exhibit significant mode-specific effects. Caregivers who are women or nonbinary or belong to households that earn less than $15k in gross annual income are more likely to forgo mobility-of-care trips. Social recreation trips are more likely to be skipped than healthcare trips. Caregivers under the age of 35 and those who do not have a disability exhibit relatively higher wellbeing (measured as a 5-item latent variable), and those with higher wellbeing are less likely to forgo mobility-of-care trips. Based on these findings, this study offers recommendations for community-based transportation solutions tailored to the specific needs of caregivers and their recipients.
Suggested Citation
Mahbuba Chowdhury and Elisa Borowski (2025) “Determinants of Mode Choice and Forgoing Travel for Mobility-of-Care Trips by Caregivers in California”. Social Science Research Network. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5539379.Related Publications
published journal article
Avoiding the risk of responsibility by seeking uncertainty: Responsibility aversion and preference for indirect agency when choosing for others
Journal of Consumer Psychology
Publication Date
October 1, 2011
Author(s)
James M. Leonhardt, Robin Keller, Cornelia Pechmann
Suggested Citation
James M. Leonhardt, L. Robin Keller and Cornelia Pechmann (2011) “Avoiding the risk of responsibility by seeking uncertainty: Responsibility aversion and preference for indirect agency when choosing for others”, Journal of Consumer Psychology, 21(4), pp. 405–413. Available at: 10.1016/j.jcps.2011.01.001. published journal article
A study of tour formation: pre-, during, and post-recession analysis
Transportation
Publication Date
October 1, 2021
Author(s)
Abstract
This study examines changes in activity-travel patterns of employed people during a recession by using a tour-based representation of the activity-based approach. The term tour is defined as a sequence of trips and activities that begins and ends at home and contains at least one non-home activity. Tours are classified based on the presence of work and/or non-work activities. We are interested in investigating how a recession can affect an individual’s tour choices. We developed a rigorous methodological framework by using multi-group structural equation modeling (SEM) to analyze changes in tour choice. In particular, we developed a causal structure conceptualsizing the interrelationships among socio-demographic and economic characteristics, activity-travel participation, and the choice of various work and non-work tours. Using data from the American Time Use Survey (ATUS), the study found that activity-travel relationships and their role in tour choice differed in the recession year (2009) compared to pre- and post-recession years (2009 and 2012, respectively). By analyzing temporal changes in causal structure, we identified four sub-trend groups defined by: (1) norms that did not change in pre-, during, and post-recession years, (2) norms that changed during the recession but returned to the old norm, (3) norms that changed during the recession and were maintained as new norm, and finally (4) 2006 norms that did not change during the 2009 recession but changed after the recession. Via analysis of multiple group SEM, we identified instances of each of these cases and provided potential rationales in the context of how a recession can influence norms and thus can affect activity-travel behavior.
Suggested Citation
Rezwana Rafiq and Michael G. McNally (2021) “A study of tour formation: pre-, during, and post-recession analysis”, Transportation, 48(5), pp. 2187–2233. Available at: 10.1007/s11116-020-10126-8.
conference paper
GAN-Sec: Generative adversarial network modeling for the security analysis of cyber-physical production systems
2019 design, automation & test in europe conference & exhibition (DATE)
Publication Date
March 1, 2019
Author(s)
Sujit Rokka Chhetri, Anthony Lopez, Jiang Wan, Mohammad Al Faruque
Suggested Citation
Sujit Rokka Chhetri, Anthony Bahadir Lopez, Jiang Wan and Mohammad Abdullah Al Faruque (2019) “GAN-Sec: Generative adversarial network modeling for the security analysis of cyber-physical production systems”, in 2019 design, automation & test in europe conference & exhibition (DATE). IEEE, pp. 770–775. Available at: 10.23919/date.2019.8715283. conference paper
A lane changing cell transmission model for modeling capacity drop at lane drop bottlenecks
Proceedings of the 95th annual meeting of the transportation research board
Publication Date
January 1, 2016
Author(s)
Abstract
Over the years the capacity drop phenomenon at freeway bottlenecks has remained a topic of interest and intrigue. Capacity drop has an undeniable impact on freeway performances, directly affecting the throughput. Various studies have tried to measure, predict, and model capacity drop. In this paper, the authors integrate a simplistic lane changing model and an acceleration model together into the Cell Transmission Model framework. The capacity drop is modeled as a combined effect of a lane changing area upstream of the bottleneck location and an acceleration region downstream. Each lane changing vehicle is considered to contribute towards density on two lanes during the lane changing maneuver as it effects the following vehicles on both the original and target lanes. This effect is modeled through the introduction of a â??perceived densityâ?? variable. This perceived density is obtained by scaling the actual density up by the lane-changing intensity, and is used to determine the demand at the bottleneck. A demand function linearly decreasing in density under over-saturated conditions is used to model the acceleration process of vehicles as they discharge from the bottleneck. It is shown that the capacity drop can then be predicted from calibrated demand-supply functions and lane changing intensity.
Suggested Citation
Anupam Srivastava and Wenlong Jin (2016) “A lane changing cell transmission model for modeling capacity drop at lane drop bottlenecks”, in Proceedings of the 95th annual meeting of the transportation research board, p. 17p. published journal article
System performance and user response under real-time information in a congested traffic corridor
Transportation Research Part A: General
Publication Date
September 1, 1991
Author(s)
Hani Mahmassani, R. (Jay) Jayakrishnan
Suggested Citation
Hani S. Mahmassani and R. Jayakrishnan (1991) “System performance and user response under real-time information in a congested traffic corridor”, Transportation Research Part A: General, 25(5), pp. 293–307. Available at: 10.1016/0191-2607(91)90145-G. conference paper
US household preferences for alternative-fuel vehicles: Results from a national survey
Proceedings of the 91st annual meeting of the transportation research board
Publication Date
January 1, 2012
Author(s)
Abstract
This paper analyzes responses to a 2010 national survey of 835 US households to explore consumer preferences among five types of vehicles that differ in propulsion technology (gasoline, hybrid electric (HEV), compressed natural gas (CNG), hydrogen fuel cell (HFC), and electric (EV)), vehicle cost, fuel cost, fuel availability, vehicle range, and CO2 emissions during operation. Although gasoline-fueled vehicles are still preferred, there was strong interest in alternatives to gasoline vehicles, and especially in HEVs, while EVs are least popular. The authors estimated a panel rank-ordered mixed logit model to understand the impact of vehicle characteristics and of the socio-economic characteristics of respondents on their preferences for alternative fuel technologies. With the exception of CNG, respondents prefer alternative propulsion technology in cars as opposed to pick-up trucks, sport utility vehicles (SUV), or minivans. The region where people live is not statistically significant. Education matters only in the case of HEVs, but gender has no significant impact, and the influence of age is technology specific. It was found that environmental attitudes are strong predictors of AFV support, particularly for HFC vehicles and EVs. In addition, the authors elicited trade-offs people are willing to make between vehicle cost, fuel cost, vehicle range, and refueling time. In spite of consumer interest for alternative-fuel vehicles, environmental benefits still take second place to economic considerations.
Suggested Citation
Jean-Daniel Saphores and Hilary Nixon (2012) “US household preferences for alternative-fuel vehicles: Results from a national survey”, in Proceedings of the 91st annual meeting of the transportation research board, p. 18p. working paper
Airport choice and airline choice in the market for air travel between the San Francisco Bay area and greater Los Angeles in 1995
Publication Date
September 1, 2005
Author(s)
Areas of Expertise
Abstract
This paper empirically investigates the impact of airport and airline supply characteristics on the air travel choices of passengers departing from one of three San Francisco Bay area airports and arriving at one of four airports in greater Los Angeles. It does so by estimating a conditional logit model for the market of air travel between both metropolitan areas in 1995, and using the estimated model to simulate three counterfactual scenarios. First, reducing access times to San Francisco International airport by 10% for all travelers increases the market share of that airport by 4.5%-point. United Airlines benefits from the reduced access times, as its market share increases by 2.9%-point. Second, reducing average delays at San Francisco International airport by 10% has similar aggregate effects to the first scenario, but indicates that leisure travelers value access time reductions more than reduced delays. Third, entry of Southwest airlines in San Francisco International airport increases the market share of Southwest airlines by 5%-point to 15-%point, depending on assumptions concerning its continuation of services at Oakland International Airport, and assuming that rival carriers do not respond in terms of prices or service levels.
published journal article
Bootstrapping improved estimators for linear regression models
Journal of Econometrics
Publication Date
April 1, 1990