published journal article

Opposition to affordable housing in the USA: Debate framing and the responses of local actors

Housing, Theory and Society

Publication Date

June 1, 2013

Author(s)

Matthew Nguyen, Victoria Basolo, Abhishek Tiwari

Abstract

This article investigates the framing of affordable housing by opponents and responses to this framing by local housing actors in the USA. We use a social construction approach to explore how conceptualizations of race/ethnicity, class and immigration shape opponents’ views and cast affordable housing tenants as deviant and undeserving, making them undesirable neighbours. Our study finds that affordable housing opposition and the process of framing results in: changes to development designs and siting decisions based on least resistance, rather than sound planning and decision-making, thereby directing affordable housing projects to particular jurisdictions, new development areas or concentrated poor neighbourhoods.

Suggested Citation
Mai Thi Nguyen, Victoria Basolo and Abhishek Tiwari (2013) “Opposition to affordable housing in the USA: Debate framing and the responses of local actors”, Housing, Theory and Society, 30(2), pp. 107–130. Available at: 10.1080/14036096.2012.667833.

conference paper

Assessing crash risks considering vehicle interactions with trucks using point detector data

Proceedings of the 96th annual meeting of the transportation research board

Publication Date

January 1, 2017

Abstract

Trucks have distinct driving characteristics in general traffic streams such as lower speeds and limitations in acceleration and deceleration. As a consequence, vehicles keep longer headways or frequently change lane when they follow a truck, which is expected to increase crash risk. This study introduces several traffic measures at the individual vehicle level to capture vehicle interactions between trucks and non-trucks and analyzed how the measures affect crash risk under different traffic conditions. The traffic measures were developed using headways obtained from Inductive Loop Detectors (ILDs). In addition, a truck detection algorithm using a Gaussian Mixture (GM) model was developed to identify trucks and to estimate truck exposure from ILD data. Using the identified vehicle type from the GM model, vehicle interaction metrics were categorized into three groups based on the combination of leading and following vehicle types. The effects of the proposed traffic measures on crash risk were modeled in two different cases of prior- and non-crash using a case-control approach utilizing a conditional logistic regression. Results showed that the vehicle interactions between the leading and following vehicle types were highly associated with crash risk, and further showed different impacts on crash risk by traffic conditions. Specifically, crashes were more likely to occur when a truck following a non-truck had shorter average headway but greater headway variance in heavy traffic while a non-truck following a truck had greater headway variance in light traffic. This study obtained meaningful conclusions that vehicle interactions involved with trucks were significantly related to the crash likelihood rather than the measures that estimate average traffic condition such as total volume or average headway of the traffic stream.

Suggested Citation
Kyung (Kate) Hyun, Kyungsoo Jeong, Andre Tok and Stephen G. Ritchie (2017) “Assessing crash risks considering vehicle interactions with trucks using point detector data”, in Proceedings of the 96th annual meeting of the transportation research board, p. 17p.

working paper

San Diego's I-15 Congestion Pricing Project: Preliminary Findings

Publication Date

December 1, 1998

Author(s)

Janusz Supernak, Jacqueline Golob, Kim Kawada, Thomas Golob

Abstract

This paper presents the preliminary findings from the Phase I evaluation of the Interstate 15 (I-15) Congestion Pricing Project in San Diego. It is a three-year demonstration that allows single occupant vehicles (SOVs) to use the existing 1-15 high occupancy vehicle (HOV) lanes for a fee. In Phase I, program participants were charged a monthly fee for unlimited use of the I-15 HOV lanes. The primary objectives of the project are: (1) to maximize use of the HOV lanes; (2) to test whether allowing solo drivers to use the HOV lanes’ excess capacity can help relieve congestion on the main lanes; (3) to improve air quality; and (4) to fund new transit and HOV improvements in the I-15 corridor. San Diego State University (SDSU) is conducting an independent, multi-element evaluation of the project to assess its impacts. The study will consider the project’s progress in meeting its primary objectives and provide detailed insight into the affect of congestion pricing on the I-15 corridor. The project has the potential to contribute to the broader understanding of many practical aspects associated with the implementation of congestion pricing in metropolitan areas. It also supplies data for the evaluation of benefits, which is central to the discussion of equity in the context of congestion pricing. This paper provides an overview of the project status and preliminary findings presented in detail in 22 Phase I technical reports that address a range of topics such as traffic, travel behavior, and institutional issues. The results from the first year of operations are limited, but indicate the project’s relative success. The project appears to be meeting its main objectives. In particular, the total number of vehicles using the HOV lanes increased substantially. The increase is attributed to increased number of carpools as well as project participants. The level of service (LOS) in the HOV lanes has not been adversely affected; LOS C was maintained throughout Phase I. In addition, there was a slight reduction of overall traffic volumes on the main lanes. Public acceptance of the project was evident in Phase I. The program participants viewed it as a success. However, understanding of the project’s overall objectives was low among both the program participants and the public. The majority of 1-15 users thought the ExpressPass program was fair to I-15 main lane and HOV lane users. Finally, there was evidence of sensitivity to price increases, although price levels during Phase I were not high enough to deter demand for the program. 

Suggested Citation
Janusz Supernak, Jacqueline M. Golob, Kim Kawada and Thomas F. Golob (1998) San Diego's I-15 Congestion Pricing Project: Preliminary Findings. Working Paper UCI-ITS-WP-98-9. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/1hx0k62f.

MS Thesis

Validating an activity based model using GPS-based travel surveys

Suggested Citation
Joseph Molinaro (2007) Validating an activity based model using GPS-based travel surveys. MS Thesis. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991018389029704701.

research report

Enhancing Student Outcomes While Strengthening Transit: An Analysis of LA Metro’s GoPass Fareless Pilot Program

Abstract

This study aimed to analyze LA Metro’s GoPass program, examining its usage patterns, participant characteristics, role in ridership recovery, and impact on students’ attendance. It also investigated free and discounted student transit pass programs across California and the influence of the COVID-19 pandemic. GoPass constituted 12.3% of LA Metro’s 2022 bus tap boardings, a significant portion amid a 33.4% overall ridership decrease compared to 2019. Spatial regression showed higher GoPass usage in areas with more young males and Asian residents, denser transit stops, mixed land use, and better transit access to participating schools. MUSD schools showed improved attendance in 2023 compared to 2022, particularly in intermediate schools. GoPass usage was highest among high schoolers, and increased use correlated with improved attendance, especially for minority and economically disadvantaged students, suggesting reduced absenteeism. Elementary and intermediate schools showed mixed attendance results. Our 2024 survey of transit agencies reveal that 38 agencies participating in both the 2019 and 2024 surveys expanded their student pass programs post-pandemic to boost ridership. LA Metro’s GoPass, a leading example adopted by agencies like Santa Monica, Long Beach Transit, and Gardena (GTrans), has a positive impact on ridership. Understanding the usage and characteristics of GoPass riders, both before and during the pandemic, is crucial for enhancing current fare-based incentive programs. These insights can also guide other transit agencies in developing similar initiatives to boost ridership and support students’ access to transportation.

Suggested Citation
Jean-Daniel Saphores and Farzana Khatun (2024) Enhancing Student Outcomes While Strengthening Transit: An Analysis of LA Metro’s GoPass Fareless Pilot Program. Final Report PSR 22-23 TO 068. PSR / ITS-Irvine.

published journal article

WILL COVID-19 jump-start telecommuting? Evidence from California

Transportation

Abstract

Health concerns and government restrictions have caused a surge in work from home during the COVID-19 pandemic, resulting in a sharp increase in telecommuting. However, it is not clear if it will perdure after the pandemic, and what socio-economic groups will be most affected. To investigate the impact of the pandemic on telecommuting, we analyzed a dataset collected for us at the end of May 2021 by Ipsos via a random survey of Californians in KnowledgePanel©, the largest and oldest probability-based panel in the US. Our structural equation models account for car ownership and housing costs to explain telecommuting frequency before, during, and possibly after the pandemic. We found that an additional 4.2% of California workers expect to engage in some level of telecommuting post-pandemic, which is substantial but possibly less than suggested in other studies. Some likely durable gains can be expected for Californians who work in management, business / finance / administration, and engineering / architecture / law / social sciences. Workers with more education started telecommuting more during the pandemic, a trend expected to continue post-pandemic. Full time work status has a negative impact on telecommuting frequency, and so does household size during and after the pandemic.

Suggested Citation
Md Rabiul Islam and Jean-Daniel M. Saphores (2025) “WILL COVID-19 jump-start telecommuting? Evidence from California”, Transportation, 52(1), pp. 349–380. Available at: 10.1007/s11116-023-10424-x.

working paper

Hypercongestion

Publication Date

March 1, 1997

Associated Project

Working Paper

UCI-ITS-WP-97-2

Areas of Expertise

Abstract

The standard economic model for analyzing traffic congestion, due to A.A. Walters, incorporates a relationship between speed and traffic flow. Empirical measurements indicate a region, known as hypercongestion, in which speed increases with flow. We argue that this relationship is unsuitable as a supply curve for equilibrium analysis because hypercongestion occurs as a response to transient demand fluctuations. We then present tractable models for handling such fluctuations, both for a uniform expressway and for a dense street network such as in a central business district (CBD). For the CBD model, we consider both exogenous and endogenous time patterns for demand, and we make use of an empirical speed-density relationship for Dallas, Texas to characterize both congested and hypercongested conditions.

Suggested Citation
Kenneth A. Small and Xuehao Chu (1997) Hypercongestion. Working Paper UCI-ITS-WP-97-2. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/5sn7k6kn.

conference paper

UAV integrity monitoring measure improvement using terrestrial signals of opportunity

Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019)

Publication Date

October 1, 2019

Author(s)

Mahdi Maaref, Zaher Kassas
Suggested Citation
Mahdi Maaref and Zaher M. Kassas (2019) “UAV integrity monitoring measure improvement using terrestrial signals of opportunity”, in Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019). Institute of Navigation, pp. 3045–3056. Available at: 10.33012/2019.17009.

published journal article

Valuing Sequences of Lives Lost or Saved Over Time: Preference for Uniform Sequences

Decision Analysis

Publication Date

March 1, 2020

Author(s)

Jeffery L. Guyse, Robin Keller, Candice H. Huynh

Abstract

Policymakers often make decisions involving human-mortality risks and monetary outcomes that span across different time periods and horizons. Many projects or environmental-regulation policies involving risks to life, such as toxic exposures, are experienced over time. The preferences of individuals on lives lost or saved over time should be understood to implement effective policies. Using a within-subject survey design, we investigated our participants’ elicited preferences (in the form of ratings) for sequences of lives saved or lost over time at the participant level. The design of our study allowed us to directly observe the possible preference patterns of negative time discounting or a preference for spreading from the responses. Additionally, we embedded factors associated with three other prevalent anomalies of intertemporal choice (gain/loss asymmetry, short/long asymmetry, and the absolute magnitude effect) into our study for control. We find that our participants exhibit three of the anomalies: preference for spreading, absolute magnitude effect, and short/long-term asymmetry. Furthermore, fitting the data collected, Loewenstein and Prelec’s model for the valuation of sequences of outcomes allowed for a more thorough understanding of the factors influencing the individual participants’ preferences. Based on the results, the standard discounting model does not accurately reflect the value that some people place on sequences of mortality outcomes. Preferences for uniform sequences should be considered in policymaking rather than applying the standard discounting model.

Suggested Citation
Jeffery L. Guyse, L. Robin Keller and Candice H. Huynh (2020) “Valuing Sequences of Lives Lost or Saved Over Time: Preference for Uniform Sequences”, Decision Analysis, 17(1), pp. 24–38. Available at: 10.1287/deca.2019.0397.