Joint Model of Choice of Residential Neighborhood and Bicycle Ownership

Abdul Rawoof Pinjari · Naveen Eluru · Chandra R. Bhat · Ram M. Pendyala · Erika Spissu

86 citations0/0 files storedTransportation Research Record Journal of the Transportation Research Board

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Urban Transport and Accessibility Transportation Planning and Optimization Economic and Environmental Valuation

Abstract

This paper presents a joint model of residential neighborhood type choice and bicycle ownership. The objective is to isolate the true causal effects of neighborhood attributes on household bicycle ownership from a spurious association because of residential self-selection effects. The joint model accounts for residential self-selection because of both observed sociodemographic characteristics and unobserved preferences. In addition, the model allows differential residential self-selection effects across different sociodemographic segments. The model was estimated by using a sample of more than 5,000 households from the San Francisco, California, Bay Area. Furthermore, a policy simulation analysis was carried out to estimate the impacts of neighborhood characteristics and sociodemographics on bicycle ownership. The model results show a substantial presence of residential self-selection effects because of observed sociodemographics, such as the 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 self-selection because of sociodemographic 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 that such effects as well as the heterogeneity in such effects be tested for before it is concluded that there are no unobserved factors contributing to residential self-selection.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 86 citations exist upstream.

References

1997A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area 2003Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area 2006Self-Selection in the Relationship between the Built Environment and Walking: Empirical Evidence from Northern California 2006A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels 2002The impact of residential neighborhood type on travel behavior: A structural equations modeling approach 2004School Location and Student Travel Analysis of Factors Affecting Mode Choice 2005The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX 2006Influences on bicycle use

Cited by

2015A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables 2017Influences of built environment characteristics and individual factors on commuting distance: A multilevel mixture hazard modeling approach 2023Non-Linear Associations Between the Urban Built Environment and Commuting Modal Split: A Random Forest Approach and SHAP Evaluation 2015How will smart growth land-use policies affect travel? A theoretical discussion on the importance of residential sorting

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.