Browsing by Subject "endogeneity"

Now showing 1 - 4 of 4

Modeling the Choice Continuum: An Integrated Model of Residential Location, Auto Ownership, Bicycle Ownership, and Commute Tour Mode Choice Decisions
(Springer, 2011) Pinjari, Abdul Rawoof; Pendyala, Ram M.; Bhat, Chandra R.; Waddell, Paul A.
The integrated modeling of land use and transportation choices involves analyzing a continuum of choices that characterize people's lifestyles across temporal scales. This includes long-term choices such as residential and work location choices that affect land-use, medium-term choices such as vehicle ownership, and short-term choices such as travel mode choice that affect travel demand. Prior research in this area has been limited by the complexities associated with the development of integrated model systems that combine the long-, medium- and short-term choices into a unified analytical framework. This paper presents an integrated simultaneous multi-dimensional choice model of residential location, auto ownership, bicycle ownership, and commute tour mode choices using a mixed multidimensional choice modeling methodology. Model estimation results using the San Francisco Bay Area highlight a series of interdependencies among the multi-dimensional choice processes. The interdependencies include: (1) self-selection effects due to observed and unobserved factors, where households locate based on lifestyle and mobility preferences, (2) endogeneity effects, where any one choice dimension is not exogenous to another, but is endogenous to the system as a whole, (3) correlated error structures, where common unobserved factors significantly and simultaneously impact multiple choice dimensions, and (4) unobserved heterogeneity, where decision-makers show significant variation in sensitivity to explanatory variables due to unobserved factors. From a policy standpoint, to be able to forecast the "true" causal influence of activity-travel environment changes on residential location, auto/bicycle ownership, and commute mode choices, it is necessary to capture the above-identified interdependencies by jointly modeling the multiple choice dimensions in an integrated framework.
A Multivariate Hurdle Count Data Model with an Endogenous Multiple Discrete- Continuous Selection System
(2013-07-20) Bhat, Chandra R.; Dubey, Subodh K.; Sidharthan, Raghuprasad; Bhat, Prerna C.
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.
Recent Progress on Endogeneity in Choice Modeling
(Springer, 2005) Louviere, Jordan; Train, Kenneth; Ben-Akiva, Moshe; Bhat, Chandra R.; Brownstone, David; Cameron, Trudy A.; Carson, Richard T.; DeShazo, J.R.; Fiebig, Denzil; Greene, William; Hensher, David; Waldman, Donald
We describe recent progress in several areas related to endogeneity, including: choice set formation and attention to attributes; interactions among decision-makers; respondents� strategic behavior in answering stated preference choices; models of multiple discrete/continuous choice; distributions of willingness-to-pay; and methods for handling traditionally endogenous explanatory variables.
Understanding Residential Mobility: Joint Model of the Reason for Residential Relocation and Stay Duration
(National Academy of Sciences, 2009) Eluru, Naveen; Sener, Ipek N.; Bhat, Chandra R.; Pendyala, Ram M.; Axhausen, Kay W.
Residential relocation or mobility is a critical component of land use dynamics. Models of land use dynamics need to consider residential relocation or mobility behavior of households to be able to forecast future population demographics land use patterns critical to activity and travel demand forecasting. Unfortunately, very little is known about residential relocation behavior at the disaggregate level, both in terms of the reasons for relocation and in terms of the duration of stay at a given residential location. This paper aims to fill this gap in knowledge by formulating and estimating a joint model of the reason for residential relocation and the duration of stay at a location. The model is estimated on a data set derived from a survey conducted in Zurich, Switzerland that captures information about residential moves over a 20 year period spanning 1985-2004. The paper provides elasticity estimates demonstrating how the model can be applied to evaluate impacts of changes in exogenous factors on residential mobility events.