Browsing by Subject "residential self-selection"
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Item Joint Model of Choice of Residential Neighborhood and Bicycle Ownership: Accounting for Self-Selection and Unobserved Heterogeneity(National Academy of Sciences, 2008) Pinjari, Abdul R.; Eluru, Naveen; Bhat, Chandra R.; Pendyala, Ram M.; Spissu, ErikaThis paper presents a joint model of residential neighborhood type choice and bicycle ownership. The objective is to isolate the true causal effects of the neighborhood attributes on household bicycle ownership from spurious association due to residential self-selection effects. The joint model accounts for residential self-selection due to both observed socio-demographic characteristics and unobserved preferences. In addition, the model allows for differential residential self-selection effects across different socio-demographic segments. The model is estimated using a sample of more than 5000 households from the San Francisco Bay Area. Further, a policy simulation analysis is carried out to estimate the impact of neighborhood characteristics and socio-demographics on bicycle ownership. The model results show a substantial presence of residential self-selection effects due to observed socio-demographics such as number of children, dwelling type, and house ownership. It is shown for the first time in the self-selection literature that ignoring such observed self selection effects may not always lead to overestimation of the impact of neighborhood attributes on travel related choices such as bicycle ownership. In the current context, ignoring selfselection due to socio-demographic attributes resulted in an underestimation of the impact of neighborhood attributes on bicycle ownership. In the context of unobserved factors, no significant self-selection effects were found. However, it is recommended to test for such effects as well as heterogeneity in such effects before concluding that there are no unobserved factors contributing to residential self-selection.Item Modeling Residential Sorting Effects to Understand the Impact of the Built Environment on Commute Mode Choice(Springer, 2007) Pinjari, Abdul R.; Pendyala, Ram M.; Bhat, Chandra R.; Waddell, PaulThis paper presents an examination of the significance of residential sorting or self selection effects in understanding the impacts of the built environment on travel choices. Land use and transportation system attributes are often treated as exogenous variables in models of travel behavior. Such models ignore the potential self selection processes that may be at play wherein households and individuals choose to locate in areas or built environments that are consistent with their lifestyle and transportation preferences, attitudes, and values. In this paper, a simultaneous model of residential location choice and commute mode choice that accounts for both observed and unobserved taste variations that may contribute to residential self selection is estimated on a survey sample extracted from the 2000 San Francisco Bay Area household travel survey. Model results show that both observed and unobserved residential self selection effects do exist; however, even after accounting for these effects, it is found that built environment attributes can indeed significantly impact commute mode choice behavior. The paper concludes with a discussion of the implications of the model findings for policy planning.Item 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.Item Residential Self-Selection Effects in an Activity Time-use Behavior Model(Elsevier, 2009) Pinjari, Abdul R.; Bhat, Chandra R.; Hensher, David A.This study presents a joint model system of residential location and activity time-use choices that considers a comprehensive set of activity-travel environment (ATE) variables, as well as sociodemographic variables, as determinants of individual weekday activity time-use choices. The model system takes the form of a joint mixed Multinomial Logit -Multiple Discrete- Continuous Extreme Value (MNL/MDCEV) structure that (a) accommodates differential sensitivity to the ATE attributes due to both observed and unobserved individual-related attributes, and (b) controls for the self selection of individuals into neighborhoods due to both observed and unobserved individual-related factors. The joint model system is estimated on a sample of 2793 households and individuals residing in Alameda County in the San Francisco Bay Area. The model results indicate the significant presence of residential self-selection effects due to both observed and unobserved individual-related factors. For instance, individuals from households with more bicycles are associated with a higher preference for out-of-home physically active pure recreational travel pursuits (such as bicycling around in the neighborhood). These same individuals locate into neighborhoods with good bicycling facilities. This leads to a non-causal association between individuals' time investment in out-of-home physically active pure recreational travel and bicycling facilities in their residential neighborhoods. Thus, ignoring the effect of bicycle ownership in the time-use model, would lead to an inflated estimate of the effect of bicycling facility density on the time invested in physically active pure recreational travel. Similarly, there are significant unobserved individual factors that lead to a high preference for physically active recreational activities and also make individuals locate in areas with good bicycling facilities. When such unobserved factors were controlled by the proposed joint residential location and time-use model, the impact of bicycling facility density on out-of-home physically active recreational activities ceased to be statistically significant (from being statistically significant in the independent time-use model). These results highlight the need to control for residential self-selection effects when estimating the effects of the activity-travel environment on activity time-use choices.