published journal article
Archives: Research Products
working paper
Structural Models of the Effects of the Commute Trip on Travel and Activity Participation
Working Paper
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
Household activity pattern problem with automated vehicle-enabled intermodal trips
Transportation Research Part C: Emerging Technologies
Publication Date
Associated Project
Author(s)
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
Associations between green space and preterm birth: Windows of susceptibility and interaction with air pollution
Environment International
Publication Date
Author(s)
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
Observability analysis of collaborative opportunistic navigation with pseudorange measurements
IEEE Trans. Intell. Transport. Syst.
Publication Date
Author(s)
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
Author(s)
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
Author(s)
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.working paper
An Ordinal Multivariate Analysis of Accident Counts as Functions of Traffic Approach Volumes at Intersections
Publication Date
Author(s)
Abstract
This research is concerned with the statistical analysis of accident counts at non-signalized intersections. The objective is to develop a method for determining general (non-linear) relationships between approach volumes and accident counts. The method must accommodate the testing of whether intersections of differing physical designs have higher or lower rates of accidents than predicted by traffic levels. It is assumed that only aggregate data are available: (1) counts of total accidents by type (e.g., injury versus property damage) without details concerning the locational position(s) of the vehicle(s) involved; and (2) aggregate traffic intensity on each intersection entry without details concerning turning volumes. The method involves the application of non-linear multivariate methods to variables treated as ordinal scales. A case study application involving four-leg and three-leg (“T”) non-signalized major arterial intersections in the Netherlands is described. The effect of bicycle traffic on accident rates is included in the case study analysis. The results indicate that there are three groups of each of the two types of intersections based on traffic flow patterns. For each group, a different functional form was found to relate accident rates and specific variables measuring traffic volumes. There were no significant differences among the physical design categories of the intersections in each group that were not accounted for by differences in traffic intensities.
Suggested Citation
Thomas F. Golob, Bolie Ruhl, Henk Meurs and Leo van Wissen (1987) An Ordinal Multivariate Analysis of Accident Counts as Functions of Traffic Approach Volumes at Intersections. Working Paper UCI-ITS-WP-87-6. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/8rt356ss.published journal article
Jurisdictional Size and Residential Development: Are Large-Scale Local Governments More Receptive to Multifamily Housing?
Urban Affairs Review
Publication Date
Author(s)
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.conference paper