working paper

Structural Models of the Effects of the Commute Trip on Travel and Activity Participation

Publication Date

November 1, 1991

Associated Project

Author(s)

Thomas Golob, Ram Pendyala

Working Paper

UCI-ITS-WP-91-15, UCI-ITS-AS-WP-91-1

Areas of Expertise

Abstract

Travel demand is viewed as being derived from the demand for out-of-home activities. The journey to work can have a significant impact on the travel and activity patterns of workers and other household members. The objective of this research is to model the relationships between travel and activity participation and examine how these relationships are influenced by the time a worker spends commuting between home and his or her worksite. Causal hypotheses are tested using data from approximately 140 workers who responded to two waves of a panel survey collected as part of the State of California Telecommuting Pilot Project. These data contain detailed descriptions of all travel by the survey respondents over three working days in each of two years, 1988 and 1989. A structural equations model is specified in which the durations of four exhaustive categories of out-of-home activities – work, personal business, shopping and social/recreation -generate needs for time spent traveling, and durations and travel times are interrelated in a complex causal structure. The effects of the reduction in travel times for work by telecommuters in the second wave of the panel are captured in terms of additional structural parameters. Results indicate that telecommuting leads directly to increases in shopping activities and decreases in travel for social/recreational activities, and leads indirectly to changes in travel for all purposes. A general modeling framework in which activities and travel relationships can be studied is also discussed.

Suggested Citation
Thomas F. Golob and Ram M. Pendyala (1991) Structural Models of the Effects of the Commute Trip on Travel and Activity Participation. Working Paper UCI-ITS-WP-91-15, UCI-ITS-AS-WP-91-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/3hq9m5hp.

published journal article

Associations between green space and preterm birth: Windows of susceptibility and interaction with air pollution

Environment International

Publication Date

September 1, 2020

Author(s)

Yi Sun, Paige Sheridan, Olivier Laurent, Jia Li, David A. Sacks, Heidi Fischer, Yang Qiu, Yu Jiang, Ilona S. Yim, Luo-Hua Jiang, John Molitor, Jiu-Chiuan Chen, Tarik Benmarhnia, Jean M. Lawrence, Jun Wu

Abstract

Background Recent studies have reported inconsistent associations between maternal residential green space and preterm birth (PTB, born < 37 completed gestational weeks). In addition, windows of susceptibility during pregnancy have not been explored and potential interactions of green space with air pollution exposures during pregnancy are still unclear. Objectives To evaluate the relationships between green space and PTB, identify windows of susceptibility, and explore potential interactions between green space and air pollution. Methods Birth certificate records for all births in California (2001–2008) were obtained. The Normalized Difference Vegetation Index (NDVI) was used to characterized green space exposure. Gestational age was treated as a time-to-event outcome; Cox proportional hazard models were applied to estimate the association between green space exposure and PTB, moderately PTB (MPTB, gestational age < 35 weeks), and very PTB (VPTB, gestational age < 30 weeks), after controlling for maternal age, race/ethnicity, education, and median household income. Month-specific green space exposure was used to identify potential windows of susceptibility. Potential interactions between green space and air pollution [fine particulate matter < 2.5 µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3)] were examined on both additive and multiplicative scales. Results In total, 3,753,799 eligible births were identified, including 341,123 (9.09%) PTBs, 124,631 (3.32%) MPTBs, and 22,313 (0.59%) VPTBs. A reduced risk of PTB was associated with increases in residential NDVI exposure in 250 m, 500 m, 1000 m, and 2000 m buffers. In the 2000 m buffer, the association was strongest for VPTB [adjusted hazard ratio (HR) per interquartile range increase in NDVI: 0.959, 95% confidence interval (CI): 0.942–0.976)], followed by MPTB (HR = 0.970, 95% CI: 0.962–0.978) and overall PTB (HR = 0.972, 95% CI: 0.966–0.978). For PTB, green space during the 3rd − 5th gestational months had stronger associations than those in the other time periods, especially during the 4th gestational month (NDVI 2000 m: HR = 0.970, 95% CI: 0.965–0.975). We identified consistent positive additive and multiplicative interactions between decreasing green space and higher air pollution. Conclusion This large study found that maternal exposure to residential green space was associated with decreased risk of PTB, MPTB, and VPTB, especially in the second trimester. There is a synergistic effect between low green space and high air pollution levels on PTB, indicating that increasing exposure to green space may be more beneficial for women with higher air pollution exposures during pregnancy.

Suggested Citation
Yi Sun, Paige Sheridan, Olivier Laurent, Jia Li, David A. Sacks, Heidi Fischer, Yang Qiu, Yu Jiang, Ilona S. Yim, Luo-Hua Jiang, John Molitor, Jiu-Chiuan Chen, Tarik Benmarhnia, Jean M. Lawrence and Jun Wu (2020) “Associations between green space and preterm birth: Windows of susceptibility and interaction with air pollution”, Environment International, 142, p. 105804. Available at: 10.1016/j.envint.2020.105804.

published journal article

Household activity pattern problem with automated vehicle-enabled intermodal trips

Transportation Research Part C: Emerging Technologies

Abstract

Driverless or fully automated vehicles (AVs) are expected to fundamentally change how individuals and households travel and how vehicles use roadway infrastructure. The first goal of this study is to develop a modeling framework of activity-constrained household travel in a future multi-modal network with private AVs, shared-use AVs, transit, and intermodal AV-transit travel options. The second goal is to analyze the potential impacts of AVs—including intermodal AV-transit travel—on (a) household-level travel behavior, (b) household travel costs, (c) demand for transport modes, including transit, and (d) vehicle kilometers traveled or VKT. To meet the first goal, we propose and formulate the Household Activity Pattern Problem with AV-enabled Intermodal Trips (HAPP-AV-IT) that incorporates AV deadheading and intermodal AV-transit trips. The modeling framework extends prior HAPP-based formulations that model household-level travel decisions as vehicle (and person) routing and scheduling problems, similar to the pickup and delivery problem with time-windows. To meet the second goal, we apply the HAPP-AV-IT to two case studies and conduct many computational experiments. We use synthetic activity location data for synthetic households and a fictitious medium-size network with a road network, transit network, residential locations, activity locations, and parking locations. The computational results illustrate (a) the critical role that household AV ownership plays in terms of household travel decisions, modal demand, and VKT, (b) that with AVs, deadheading accounts for 30–40 % of vehicle operating distances, (c) that around 10 % of households in the study region benefit from AV-based intermodal trips, and (d) that those 10 % of households see 5 % reductions in household travel costs and 25 % reductions in VKT on average in the most transit friendly scenario. This last finding suggests that intermodal AV-transit trips may exist in a driverless vehicle future, and therefore, transit agencies and transportation planners should consider how to serve this market. We also propose and test a simple heuristic algorithm that quickly solves HAPP-AV-IT problem instances.

Suggested Citation
Younghun Bahk and Michael Hyland (2025) “Household activity pattern problem with automated vehicle-enabled intermodal trips”, Transportation Research Part C: Emerging Technologies, 170, p. 104930. Available at: 10.1016/j.trc.2024.104930.

published journal article

Observability analysis of collaborative opportunistic navigation with pseudorange measurements

IEEE Trans. Intell. Transport. Syst.

Publication Date

February 1, 2014

Author(s)

Zaher Kassas, Todd E. Humphreys
Suggested Citation
Zaher M. Kassas and Todd E. Humphreys (2014) “Observability analysis of collaborative opportunistic navigation with pseudorange measurements”, IEEE Trans. Intell. Transport. Syst., 15(1), pp. 260–273. Available at: 10.1109/tits.2013.2278293.

published journal article

The Tensions of Transparency in Urban and Environmental Planning

Journal of Planning Education and Research

Publication Date

September 1, 2022

Abstract

Government transparency is generally uncontroversial, intuitively appealing, and held to be a cornerstone of planning practice. This article systematically reviews planning scholars’ treatment of government transparency in the twenty-first century. We find that transparency frequently underpins key theoretical constructs and policy prescriptions, but scholars rarely define or operationalize the term and generally treat it as unproblematic. We then identify how transparency requirements can conflict with the goals of accountability, participation, and inclusion, and we conclude by discussing the implications for assessing the role of transparency in social change.

Suggested Citation
Nicholas J. Marantz and Nicola Ulibarri (2022) “The Tensions of Transparency in Urban and Environmental Planning”, Journal of Planning Education and Research, 42(3), pp. 401–412. Available at: 10.1177/0739456X19827638.

conference paper

Perspectives on Viable Alternative Fuels for Heavy-duty Vehicles in 2030s: Qualitative Interviews with California Fleet Operators

100th Transportation Research Board (TRB) Annual Meeting

Publication Date

January 1, 2021
Suggested Citation
Youngeun Bae, Craig R Rindt, Suman K. Mitra and Stephen G. Ritchie (2021) “Perspectives on Viable Alternative Fuels for Heavy-duty Vehicles in 2030s: Qualitative Interviews with California Fleet Operators”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC.

published journal article

Jurisdictional Size and Residential Development: Are Large-Scale Local Governments More Receptive to Multifamily Housing?

Urban Affairs Review

Publication Date

May 1, 2022

Author(s)

Nicholas Marantz, Paul G. Lewis

Abstract

In the United States, particularly in high-cost urban areas, local resistance to multifamily housing development has been widely noted. In many metropolitan areas, legal authority over land-use regulation is assigned to jurisdictions that often are very small, and some scholars argue that this small-scale local control institutionalizes neighborhood-level opposition to new construction. Using census tracts as units of analysis, we assess the relationship between the population size of the city, county, or township that regulates a tract’s land use and the change in multifamily units between two recent waves of the American Community Survey (2008–2012 and 2014–2018). Results of regression analysis indicate that larger jurisdictional population size is indeed associated with increased multifamily construction. However, the relationship applies only for jurisdictions with populations exceeding 100,000 and decays at jurisdictional populations of more than 1 million. This nonlinearity may reflect quasi-monopolistic land-use control in the largest jurisdictions.

Suggested Citation
Nicholas J. Marantz and Paul G. Lewis (2022) “Jurisdictional Size and Residential Development: Are Large-Scale Local Governments More Receptive to Multifamily Housing?”, Urban Affairs Review, 58(3), pp. 732–766. Available at: 10.1177/1078087420988598.

working paper

Modeling Non-Ignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling

Publication Date

September 1, 1999

Associated Project

Working Paper

UCI-ITS-WP-99-5

Areas of Expertise

Abstract

Modern panel surveys frequently suffer from high and non-ignorable attrition, and transportation surveys suffer from poor travel time estimates. The initial sampling process for most transportation surveys is also non-ignorable since rare travel modes are oversampled (and mode choice is the key dependent variable). This paper examines new multiple imputation methods for adjusting forecasts and model estimates to account for these problems in a new panel survey of 1500 commuters in San Diego, California. These data are collected to evaluate charging solo commuters to use an existing 8-mile underutilized freeway carpool lane. We illustrate the impact of attrition and measurement error on a standard conditional logit model of commuters’ mode choice (solo drive in free lanes, pay to solo drive in the carpool lanes, or carpool for free in carpool lanes). Although the attrition rate between waves is 40% and non-ignorable, the quantitative impact on the results is negligible. However, measurement error in travel time does have an important impact on the key results from our model. Finally, failure to account for the measurement error process using multiple imputations yields a downward bias of at least 50% in the standard errors of the logit coefficient estimates.

Suggested Citation
David Brownstone, Thomas F. Golob and Camilla Kazimi (1999) Modeling Non-Ignorable Attrition and Measurement Error in Panel Surveys: An Application to Travel Demand Modeling. Working Paper UCI-ITS-WP-99-5. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/4xd7b26q.

published journal article

Using Section 15 Data: Adapting and Evaluating the Magnetic Tape Version for Statistical Analysis

Transportation Research Record

Publication Date

December 1, 1983

Author(s)

Suggested Citation
Gordon Fielding, Mary Brenner and Olivia de la Rocha (1983) “Using Section 15 Data: Adapting and Evaluating the Magnetic Tape Version for Statistical Analysis”, Transportation Research Record [Preprint], (961). Available at: https://onlinepubs.trb.org/Onlinepubs/trr/1984/961/961.pdf.

published journal article

The trip chaining activity of Sydney residents: A cross-section assessment by age group with a focus on seniors

Journal of Transport Geography

Publication Date

July 1, 2007

Author(s)

Thomas Golob, David A. Hensher

Abstract

In this paper, we use a pooled (2002-2004) cross-section of the Sydney travel survey, an annual continuous survey since 1997, to investigate the current profile of trip chaining travel activity of individuals in five-year groups, with a particular focus on those over 64 years old (i.e., seniors), given the aging of the population. Multiple correspondence analysis is used to establish causality of nonlinear and non-monotonic relationships between socioeconomic descriptors and measures of travel behavior (assessed as trip chains). A benchmark setting for today not only establishes the way in which the elderly currently `cope’ with the existing supply network and the available modal alternatives, given their needs, but also is useful in providing hints as to what might be the key emerging transport policy and planning challenges in the future to serve this growing and increasingly influential population sub-strata. The main policy finding is that after age 64, travel demand shifts from car driving (partly linked to loss of driving license, but partly through choice), to car passenger and then to public transport in complex trip chains, especially for singles and for all women.

Suggested Citation
Thomas F. Golob and David A. Hensher (2007) “The trip chaining activity of Sydney residents: A cross-section assessment by age group with a focus on seniors”, Journal of Transport Geography, 15(4), pp. 298–312. Available at: 10.1016/j.jtrangeo.2006.09.005.