published journal article
Tour-based truck demand modeling with entropy maximization using GPS data
Journal of Advanced Transportation
Publication Date
December 1, 2019
Archives: Research Products
conference paper
Contextualizing Young Driver Lived Experiences of Riding with an Impaired Driver and Driving Impaired on Mental Well-Being: A Qualitative Study
Transportation Research Board 103rd Annual Meeting
Publication Date
January 1, 2024
Author(s)
Kaigang Li, Deepa Camenga, Barbara Banz, Vanessa Zuniga, Candice Grayton, Ronald Iannotti, Federico E. Vaca
Suggested Citation
Kaigang Li, Deepa Camenga, Barbara Banz, Vanessa Zuniga, Candice Grayton, Ronald Iannotti and Federico Vaca (2024) “Contextualizing Young Driver Lived Experiences of Riding with an Impaired Driver and Driving Impaired on Mental Well-Being: A Qualitative Study”. Transportation Research Board 103rd Annual Meeting.
policy brief
Using a “Bathtub Model” to Analyze Travel Can Protect Privacy While Providing Valuable Insights
Publication Date
January 1, 2025
Associated Project
Author(s)
Abstract
Transportation agencies increasingly rely on detailed trip data to analyze traffic patterns and plan infrastructure improvements. However, traditional data collection methods require extensive personal information about travelers’ origins, destinations, and routes, raising serious privacy concerns. Current “big data” approaches can track individual movements with alarming precision, often without explicit consent. As privacy regulations tighten and public concerns grow, transportation planners need alternative methods that balance analytical needs with privacy protection. To address this challenge, the research team evaluated the “bathtub model” as a privacy-preserving alternative to traditional traffic data collection methods. This simple, network-level approach treats all trips in a region as part of one system. Instead of tracking each person’s path, a bathtub model represents trips by how much distance they have left to travel. This allows for analyzation of network performance while protecting privacy.
Suggested Citation
Wen-Long Jin and Joseph Lo (2025) Using a “Bathtub Model” to Analyze Travel Can Protect Privacy While Providing Valuable Insights. Policy Brief UC-ITS-2022-45. UC ITS / ITS-Irvine. Available at: https://doi.org/10.7922/G2D798TX (Accessed: November 3, 2025).Related Publications
Preprint Journal Article |
Sep 2023
Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space
policy brief
Advanced Low-NOx Compressed Natural Gas Engines in Medium- and Heavy-Duty Vehicles Are Poised to Deliver Air Quality Benefits and Advance California’s Climate Goals
Publication Date
June 1, 2017
Abstract
Recent commercialization of advanced low-nitrogen oxides (NOx) Compressed Natural Gas (CNG) engines for medium- (MDV) and heavy-duty (HDV) vehicles has garnered significant interest due to the potential air quality benefits. Further, utilizing renewable natural gas (RNG) in advanced CNG engines from sources such as biomass and/ or biogas can achieve reductions in greenhouse gas (GHG) relative to using petroleum fuels and fossil CNG. However, the regional air quality and GHG reduction benefits of large‐scale deployment of advanced CNG trucks are currently unclear. Further, more information is required regarding RNG production potential from California instate biofuel resources, including potential supply volumes and production pathways that provide maximum GHG reductions. The UC Irvine Advanced Power and Energy Program assessed the air quality and GHG implications of transitioning to advanced CNG engines in MDVs and HDVs in California by developing and comparing different future adoption scenarios. The research team also leveraged prior research of biogas and biomass resources in California to consider different options for producing RNG in-state. Key findings from this research are highlighted in the following section.
Suggested Citation
Michael MacKinnon, Brendan Shaffer, Alejandra Cervantes and G. Scott Samuelsen (2017) Advanced Low-NOx Compressed Natural Gas Engines in Medium- and Heavy-Duty Vehicles Are Poised to Deliver Air Quality Benefits and Advance California’s Climate Goals. Policy Brief. Available at: https://escholarship.org/uc/item/37b8s5dj (Accessed: October 11, 2023). conference paper
More Dedicated Vehicles or Crowdsourced Couriers? A Strategic Capacity Planning Problem in Last-mile Crowdsourced Delivery
102nd Transportation Research Board Annual Meeting 2023
Publication Date
January 1, 2023
Author(s)
Suggested Citation
Dingtong Yang and Michael F. Hyland (2023) “More Dedicated Vehicles or Crowdsourced Couriers? A Strategic Capacity Planning Problem in Last-mile Crowdsourced Delivery”. 102nd Transportation Research Board Annual Meeting 2023. published journal article
Measuring the inconvenience of operating an alternative fuel vehicle
Transportation Research Part D: Transport and Environment
Publication Date
March 1, 2014
Author(s)
Suggested Citation
Jee Eun Kang and Will W. Recker (2014) “Measuring the inconvenience of operating an alternative fuel vehicle”, Transportation Research Part D: Transport and Environment, 27, pp. 30–40. Available at: 10.1016/j.trd.2013.12.003. published journal article
Particulate matter, traffic-related air pollutants, and circulating C-reactive protein levels: The Multiethnic Cohort Study
Environmental Pollution
Publication Date
September 1, 2023
Author(s)
Meera Sangaramoorthy, Johnny Yang, Chiuchen Tseng, Jun Wu, Beate Ritz, Timothy V. Larson, Scott Fruin, Daniel O. Stram, Seri Park, Adrian A. Franke, Lynne R. Wilkens, Jonathan M. Samet, Loïc Le Marchand, Salma Shariff-Marco, Christopher A. Haiman, Anna H. Wu, Iona Cheng
Abstract
Inhaled particles and gases can harm health by promoting chronic inflammation in the body. Few studies have investigated the relationship between outdoor air pollution and inflammation by race and ethnicity, socioeconomic status, and lifestyle risk factors. We examined associations of particulate matter (PM) and other markers of traffic-related air pollution with circulating levels of C-reactive protein (CRP), a biomarker of systemic inflammation. CRP was measured from blood samples obtained in 1994–2016 from 7,860 California residents participating in the Multiethnic Cohort (MEC) Study. Exposure to PM (aerodynamic diameter ≤2.5 μm [PM2.5], ≤10 μm [PM10], and between 2.5 and 10 μm [PM10-2.5]), nitrogen oxides (NOx, including nitrogen dioxide [NO2]), carbon monoxide (CO), ground-level ozone (O3), and benzene averaged over one or twelve months before blood draw were estimated based on participants’ addresses. Percent change in geometric mean CRP levels and 95% confidence intervals (CI) per standard concentration increase of each pollutant were estimated using multivariable generalized linear regression. Among 4,305 females (55%) and 3,555 males (45%) (mean age 68.1 [SD 7.5] years at blood draw), CRP levels increased with 12-month exposure to PM10 (11.0%, 95% CI: 4.2%, 18.2% per 10 μg/m3), PM10-2.5 (12.4%, 95% CI: 1.4%, 24.5% per 10 μg/m3), NOx (10.4%, 95% CI: 2.2%, 19.2% per 50 ppb), and benzene (2.9%, 95% CI: 1.1%, 4.6% per 1 ppb). In subgroup analyses, these associations were observed in Latino participants, those who lived in low socioeconomic neighborhoods, overweight or obese participants, and never or former smokers. No consistent patterns were found for 1-month pollutant exposures. This investigation identified associations of primarily traffic-related air pollutants, including PM, NOx, and benzene, with CRP in a multiethnic population. The diversity of the MEC across demographic, socioeconomic, and lifestyle factors allowed us to explore the generalizability of the effects of air pollution on inflammation across subgroups.
Suggested Citation
Meera Sangaramoorthy, Juan Yang, Chiuchen Tseng, Jun Wu, Beate Ritz, Timothy V. Larson, Scott Fruin, Daniel O. Stram, Sung-shim Lani Park, Adrian A. Franke, Lynne R. Wilkens, Jonathan M. Samet, Loïc Le Marchand, Salma Shariff-Marco, Christopher A. Haiman, Anna H. Wu and Iona Cheng (2023) “Particulate matter, traffic-related air pollutants, and circulating C-reactive protein levels: The Multiethnic Cohort Study”, Environmental Pollution, 332, p. 121962. Available at: 10.1016/j.envpol.2023.121962. published journal article
Traffic-related air pollution and Parkinson's disease in central California
Environmental Research
Publication Date
January 1, 2024
Abstract
Background Prior studies suggested that air pollution exposure may increase the risk of Parkinson’s Disease (PD). We investigated the long-term impacts of traffic-related and multiple sources of particulate air pollution on PD in central California. Methods Our case-control analysis included 761 PD patients and 910 population controls. We assessed exposure at residential and occupational locations from 1981 to 2016, estimating annual average carbon monoxide (CO) concentrations – a traffic pollution marker – based on the California Line Source Dispersion Model, version 4. Additionally, particulate matter (PM2.5) concentrations were based on a nationwide geospatial chemical transport model. Exposures were assessed as 10-year averages with a 5-year lag time prior to a PD diagnosis for cases and an interview date for controls, subsequently categorized into tertiles. Logistic regression models were used, adjusting for various factors. Results Traffic-related CO was associated with an increased odds ratio for PD at residences (OR for T3 vs. T1: 1.58; 95% CI: 1.20, 2.10; p-trend = 0.02) and workplaces (OR for T3 vs. T1: 1.91; 95% CI: 1.22, 3.00; p-trend <0.01). PM2.5 was also positively associated with PD at residences (OR for T3 vs. T1: 1.62; 95% CI: 1.22, 2.15; p-trend <0.01) and workplaces (OR for T3 vs. T1: 1.85; 95% CI: 1.21, 2.85; p-trend <0.01). Associations remained robust after additional adjustments for smoking status and pesticide exposure and were consistent across different exposure periods. Conclusion We found that long-term modeled exposure to local traffic-related air pollution (CO) and fine particulates from multiple sources (PM2.5) at homes and workplaces in central California was associated with an increased risk of PD.
Suggested Citation
Dayoon Kwon, Kimberly C. Paul, Yu Yu, Keren Zhang, Aline D. Folle, Jun Wu, Jeff M. Bronstein and Beate Ritz (2024) “Traffic-related air pollution and Parkinson's disease in central California”, Environmental Research, 240, p. 117434. Available at: 10.1016/j.envres.2023.117434. published journal article
Mortgage Default with Asymmetric Information
The Journal of Real Estate Finance and Economics
Publication Date
January 1, 2000
Author(s)
Suggested Citation
Jan K. Brueckner (2000) “Mortgage Default with Asymmetric Information”, The Journal of Real Estate Finance and Economics, 20(3), pp. 251–274. Available at: 10.1023/a:1007885109086. working paper
A Transaction Choice Model for Forecasting Demand for Alternative-Fuel Vehicles
Publication Date
January 1, 1996
Associated Project
Author(s)
Areas of Expertise
Abstract
The vehicle choice model developed here is one component in a mlcro-slmulatlon demand forecasting system being designed to produce annual forecasts of new and used vehicle demand by vehicle type and geographic area in Cahforma. The system will also forecast annual vehicle miles traveled for all vehicles and recharging demand by ume of day for electric vehicles. The choice model specification differs from past studies by directly modehng vehicle transactions rather than vehlcle holdings. The model Is calibrated using stated preference data from a new study of 4,747 urban Califorma households. These results are potentially useful to public transportation and energy agencles m their evaluation of alternatives to current gasoline-powered vehicles. The findings are also useful to manufacturers faced with designLug and marketing alternauve-fuel vehicles as well as to utility companies who need to develop long-run demand-side management plamung strategies
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