working paper

Relationships Between Social-Psychological Variables and Individual Travel Behavior

Publication Date

April 1, 1978

Working Paper

UCI-ITS-WP-78-7

Areas of Expertise

Abstract

The purpose of this paper is to introduce variables ·which may yield explanations of travel behavior which go beyond the economic and transportation-related explanations of existing models. This analysis explores whether improvements can be made in the understanding of individual travel behavior and in the predictive power of travel demand models. This applied emphasis extends the author’s previous work which demonstrated how attitudinal and behavioral information can be used to structure the development and marketing of transportation improvements (Fielding, 1972; Fielding, et.al., 1976).

Suggested Citation
Gordon J. Fielding and Timothy J. Tardiff (1978) Relationships Between Social-Psychological Variables and Individual Travel Behavior. Working Paper UCI-ITS-WP-78-7. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7945t2zr.

working paper

How Congestion Pricing Reduces Property Values

Publication Date

April 16, 2002

Working Paper

UCI-ITS-WP-02-1

Areas of Expertise

Abstract

Congestion tolls which increase an individual’s cost of commuting will reduce the number of commuters, and therefore reduce demand for housing within commuting distance of the employment center. Aggregate property values will therefore decline, generating opposition even to congestion tolls which are efficient.

Suggested Citation
Amihai Glazer and Kurt Van Dender (2002) How Congestion Pricing Reduces Property Values. Working Paper UCI-ITS-WP-02-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/4r13k4n8.

conference paper

Architecture integrating symbolic and connectionist models for traffic management center decision support

Proceedings of the international conference on applications of advanced technologies in transportation engineering

Publication Date

January 1, 1996

Author(s)

Martin Molina, Filippo Logi, Stephen Ritchie, Jose Cuena
Suggested Citation
Martin Molina, Filippo Logi, Stephen G. Ritchie and Jose Cuena (1996) “Architecture integrating symbolic and connectionist models for traffic management center decision support”, in Proceedings of the international conference on applications of advanced technologies in transportation engineering, pp. 320–324.

published journal article

A theory of urban squatting and land-tenure formalization in developing countries

American Economic Journal: Economic Policy

Publication Date

January 1, 2009

Author(s)

Jan Brueckner, Harris Selod

Abstract

This paper offers a new theoretical approach to urban squatting, reflecting the view that squatters and formal residents compete for land within a city. The key implication is that squatters “squeeze” the formal market, raising the price paid by formal residents. The squatter organizer ensures that squeezing is not too severe, since otherwise, the formal price will rise to a level that invites eviction by landowners. Because eviction is absent in equilibrium, the model differs from previous analytical frameworks, where eviction occurs with some probability. It also facilitates a general equilibrium analysis of squatter formalization policies. (JEL O15, Q15, R14)

Suggested Citation
Jan K Brueckner and Harris Selod (2009) “A theory of urban squatting and land-tenure formalization in developing countries”, American Economic Journal: Economic Policy, 1(1), pp. 28–51. Available at: 10.1257/pol.1.1.28.

research report

Deployment Paths of ATIS: Impact on Commercial Vehicle Operations, Private Sector Providers and the Public Sector

Abstract

Most studies of the economic benefits of Advanced Traveler Information Systems (ATIS) have focused on the passenger transportation market. Few analyses have addressed the applications of ATIS to freight operations even though using ATIS to route or divert commercial vehicles can make a significant improvement in overall traffic flow and system performance. In this study, multivariate demand models were estimated based on large-scale surveys of commercial vehicle operators in California to determine the current use and perceptions of advanced information technologies, especially advanced traveler information systems (ATIS), among these firms. Data were used to identify organizational and operational characteristics that made these technologies more or less attractive, and to predict potential adoption of the technologies by carrier type. Many characteristics proved influential including company size, type and location of operation, length of load moves, provision of intermodal service and private versus for-hire status. A secondary goal was to explore the extent to which new logistics intermediaries,especially “infomediaries” are likely to develop advanced information technologies for the freight industry. Private sector providers of ATIS have not lived up to earlier expectations. While there still may be a significant future role for private sector involvement in providing this type of information, for now the burden appears to fall primarily on state and local transportation agencies.

Suggested Citation
Amelia C. Regan and Thomas F. Golob (2002) Deployment Paths of ATIS: Impact on Commercial Vehicle Operations, Private Sector Providers and the Public Sector. Final Report UCB-ITS-PRR-2002-31. ITS-Irvine: University of California, Berkeley / California Partners for Advanced Transit and Highways. Available at: https://escholarship.org/uc/item/2578j4bj.

Phd Dissertation

Real time mass transport vehicle routing problem: Hierarchical global optimization for large networks

Abstract

This dissertation defines and studies a class of dynamic problems called the “Mass Transport Vehicle Routing Problem” (MTVRP) which is to efficiently route n vehicles in real time in a fast varying environment to pickup and deliver m passengers, where both n and m are large. The problem is very relevant to future transportation options involving large scale real-time routing of shared-ride fleet transit vehicles. Traditionally, dynamic routing solutions were found using static approximations for smaller-scale problems or using local heuristics for the larger-scale ones. Generally heuristics used for these types of problems do not consider global optimality. The main contribution of this research is the development of a hierarchical methodology to solve MTVRP in three stages which seeks global optimality. The first stage simplifies the network through an aggregated representation, which retains the main characteristics of the actual network and represents the transportation network realistically. The second stage solves a simplified static problem, called “Mass Transport Network Design Problem” (MTNDP). The output of stage 2 is a set of frequencies and paths used as an initial solution to the last stage of the process, called Local Mass Transport Vehicle Routing Problem (LMTVRP), where a local routing is performed. The thesis presents the proposed methodology, gives insights on each of the proposed stages, develops a general framework to use the proposed methodology to solve any VRP and presents an application through microsimulation for the city of Barcelona in Spain.

Suggested Citation
Laia Pages (2006) Real time mass transport vehicle routing problem: Hierarchical global optimization for large networks. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1gpb62p/alma991035093205004701 (Accessed: October 14, 2023).

published journal article

Ambient Air Pollution and Chronic Obstructive Pulmonary Disease: The Multiethnic Cohort Study

Annals of the American Thoracic Society

Publication Date

May 1, 2025

Author(s)

Seri Park, Daphne Lichtensztajn, Johnny Yang, Jun Wu, Salma Shariff-Marco, Daniel O. Stram, Pushkar Inamdar, Scott Fruin, Timothy Larson, Chiuchen Tseng, Veronica W. Setiawan, Scarlett Lin Gomez, Jonathan Samet, Loïc Le Marchand, Lynne R. Wilkens, Beate Ritz, Anna H. Wu, Iona Cheng

Abstract

Rationale: Globally, chronic obstructive pulmonary disease (COPD) was the third leading cause of death in 2019. Although tobacco smoking is the predominant risk factor, the role of long-term air pollution exposure in increasing the risk of COPD remains unclear. Moreover, few studies that account for smoking history and other known risk factors have been conducted in racially and ethnically minoritized and socioeconomically diverse populations. Objectives: We sought to evaluate the association of ambient air pollution with COPD in a multiethnic population in California. Methods: In the Multiethnic Cohort Study of 38,654 African-American, Japanese-American, Latino, and White California participants who were enrolled in the fee-for-service component of Medicare, we used Cox proportional hazards regression to estimate the association of time-varying ambient air pollutants—particulate matter with an aerodynamic diameter ⩽2.5 μm or ⩽10 μm, nitrogen dioxide, carbon monoxide, ozone, benzene, and ultrafine particles (UFPs)—with COPD risk (n = 10,915 cases; 8.8 yr of follow up). Subgroup analyses were conducted by race and ethnicity, sex, smoking status as recorded on the Multiethnic Cohort Study baseline questionnaire, and neighborhood socioeconomic status. Results: We observed a positive association of nitrogen oxide (per 50 ppb) with risk of COPD (hazard ratio = 1.45; 95% confidence interval = 1.35–1.55). The associations of nitrogen dioxide (per 20 ppb), particulate matter with an aerodynamic diameter ⩽2.5 μm (10 μg/m3) or ⩽10 μm (10 μg/m3), carbon monoxide (1,000 ppb), and UFPs (interquartile range = 5,241.7 particles/cm3) with risk of COPD were in similar directions, as these air pollutants are highly correlated with nitrogen oxide. These associations were found in African-American, Latino, and Japanese-American participants, but not in Whites (P heterogeneity across race and ethnicity <0.04). These associations also differed by neighborhood socioeconomic status, with effects being stronger in racially and ethnically minoritized populations and residents of low-SES neighborhoods. Conclusions: Long-term ambient air pollutant exposure is associated with COPD risk in a multiethnic, older adult (age >65 yr) population.

Suggested Citation
Sungshim Lani Park, Daphne Lichtensztajn, Juan Yang, Jun Wu, Salma Shariff-Marco, Daniel O. Stram, Pushkar Inamdar, Scott Fruin, Timothy Larson, Chiuchen Tseng, Veronica W. Setiawan, Scarlett Lin Gomez, Jonathan Samet, Loïc Le Marchand, Lynne R. Wilkens, Beate Ritz, Anna H. Wu and Iona Cheng (2025) “Ambient Air Pollution and Chronic Obstructive Pulmonary Disease: The Multiethnic Cohort Study”, Annals of the American Thoracic Society, 22(5), pp. 698–706. Available at: 10.1513/AnnalsATS.202404-387OC.

published journal article

Refining time-activity classification of human subjects using the global positioning system

PLoS One

Publication Date

February 1, 2016

Author(s)

Maogui Hu, Wei Li, Lianfa Li, Doug Houston, Jun Wu

Abstract

Background Detailed spatial location information is important in accurately estimating personal exposure to air pollution. Global Position System (GPS) has been widely used in tracking personal paths and activities. Previous researchers have developed time-activity classification models based on GPS data, most of them were developed for specific regions. An adaptive model for time-location classification can be widely applied to air pollution studies that use GPS to track individual level time-activity patterns. Methods Time-activity data were collected for seven days using GPS loggers and accelerometers from thirteen adult participants from Southern California under free living conditions. We developed an automated model based on random forests to classify major time-activity patterns (i.e. indoor, outdoor-static, outdoor-walking, and in-vehicle travel). Sensitivity analysis was conducted to examine the contribution of the accelerometer data and the supplemental spatial data (i.e. roadway and tax parcel data) to the accuracy of time-activity classification. Our model was evaluated using both leave-one-fold-out and leave-one-subject-out methods. Results Maximum speeds in averaging time intervals of 7 and 5 minutes, and distance to primary highways with limited access were found to be the three most important variables in the classification model. Leave-one-fold-out cross-validation showed an overall accuracy of 99.71%. Sensitivities varied from 84.62% (outdoor walking) to 99.90% (indoor). Specificities varied from 96.33% (indoor) to 99.98% (outdoor static). The exclusion of accelerometer and ambient light sensor variables caused a slight loss in sensitivity for outdoor walking, but little loss in overall accuracy. However, leave-one-subject-out cross-validation showed considerable loss in sensitivity for outdoor static and outdoor walking conditions. Conclusions The random forests classification model can achieve high accuracy for the four major time-activity categories. The model also performed well with just GPS, road and tax parcel data. However, caution is warranted when generalizing the model developed from a small number of subjects to other populations.

Suggested Citation
Maogui Hu, Wei Li, Lianfa Li, Douglas Houston and Jun Wu (2016) “Refining time-activity classification of human subjects using the global positioning system”, PLoS One, 11(2), p. e0148875. Available at: 10.1371/journal.pone.0148875.

published journal article

Transit performance evaluation in the U.S.A.

Transportation Research Part A: Policy and Practice

Publication Date

November 1, 1992
Suggested Citation
Gordon J. Fielding (1992) “Transit performance evaluation in the U.S.A.”, Transportation Research Part A: Policy and Practice, 26(6), pp. 483–491. Available at: 10.1016/0965-8564(92)90029-7.

working paper

Comparing the Influence of Land Use on Nonwork Trip Generation and Vehicle Distance Traveled: An Analysis using Travel Diary Data

Publication Date

August 1, 2003

Working Paper

UCI-ITS-WP-03-8

Areas of Expertise

Abstract

This study uses two-day travel diary data to examine whether land use matters more for an individual’s trip generation or for an individual’s total vehicle miles traveled (VMT). More specifically, sociodemographic, land use, and street connectivity variables are used to estimate nonwork trip frequency and nonwork vehicle miles traveled via ordered probit and ordinary least-squares regression models. We compare standardized coefficients of the models and conclude that: (1) the influence of land use variables is similar in both the trip generation and VMT regressions; and (2) income is the primary determinant of both trip frequency and VMT, but that land use exerts an influence that is on par with other sociodemographic characteristics after the primary role of income is considered.

Suggested Citation
Marlon G. Boarnet, K.S. Nesamani and C. Scott Smith (2003) Comparing the Influence of Land Use on Nonwork Trip Generation and Vehicle Distance Traveled: An Analysis using Travel Diary Data. Working Paper UCI-ITS-WP-03-8. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/50v4j7nb.