MS Thesis
Red cars reborn : transforming the abandoned Pacific Electric Santa Ana line into a 21st century transit system
Publication Date
December 31, 2005
Archives: Research Products
published journal article
Evaluation of the California Safe Routes to School legislation: Urban form changes and children’s active transportation to school
American Journal of Preventive Medicine
Publication Date
February 1, 2005
Associated Project
Author(s)
Areas of Expertise
Suggested Citation
Marlon G. Boarnet, Craig L. Anderson, Kristen Day, Tracy McMillan and Mariela Alfonzo (2005) “Evaluation of the California Safe Routes to School legislation: Urban form changes and children’s active transportation to school”, American Journal of Preventive Medicine, 28(2), pp. 134–140. Available at: 10.1016/j.amepre.2004.10.026.Related Publications
working paper |
Jan 2003
Evaluation of the California Safe Routes to School Construction Program
working paper |
Sep 2006
California's Safe Routes to School Program: Impacts on Walking, Bicycling, and Pedestrian Safety
published journal article
A first-order behavioral model of capacity drop
Transportation Research Part B: Methodological
Publication Date
November 1, 2017
Author(s)
Suggested Citation
Wen-Long Jin (2017) “A first-order behavioral model of capacity drop”, Transportation Research Part B: Methodological, 105, pp. 438–457. Available at: 10.1016/j.trb.2017.09.021. Phd Dissertation
The Development and Evaluation of a Highly-Resolved California Electricity Market Model to Characterize the Temporal and Spatial Grid, Environmental, and Economic Impacts of Electric Vehicles
Publication Date
January 1, 2013
Author(s)
Abstract
Drastic changes need to occur in the electricity generation and transportation sectors in order to address environmental concerns that have attracted attention in recent years. These concerns, combined with increasing energy prices, have led to elevated interest in alternative, and low to non-carbon technologies in both sectors from both researchers and policymakers. In the state of California, integration of renewable resources, and switching to more environmental-friendly transportation options, have been mandated by stringent environmental regulations such as AB 32, AB 118, and RPS goals. A spatially and temporally resolved resource dispatch model is developed that simulates the operations of an electricity market while taking into account all the physical constraints associated with various components of an electricity grid such as transmission system constraints. Multiple modules are also developed to provide inputs to the model and also determine the interaction between electricity generation and transportation sectors. This dispatch model and its modules are used to assess a selected set of future transportation and electricity generation scenarios. These scenarios include various dispatch strategies, integration of renewables, and deploying plug-in electric vehicles. The results show that with appropriate planning, the generation, transmission, and distribution sectors will be able to accommodate a high penetration of plug-in vehicles, and they will result in an overall reduction in criteria pollutant and greenhouse gas emissions. With vehicle smart charging, the need for planning in the generation sector is minimized and the installed generators will be able to handle the extra load caused by the vehicles. Different dispatch strategies are developed and results indicate that the best approach to reduce emissions while keeping the system’s costs at acceptable levels is a combination of economic and environmental dispatch strategies. This strategy can also be used to dispatch renewable resources as a part of the market instead of using the current must-take strategy. The methodology and the tools developed provide a means to examine various aspects of future scenarios and their impacts on different sectors, and can be used for decision making and planning purposes.
Suggested Citation
Ghazal Razeghi (2013) The Development and Evaluation of a Highly-Resolved California Electricity Market Model to Characterize the Temporal and Spatial Grid, Environmental, and Economic Impacts of Electric Vehicles. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991034411239704701 (Accessed: October 13, 2023). published journal article
Extreme Heat and Severe Maternal Morbidity in Southern California: Evidence of Health Disparities from a Large Pregnancy Cohort
ISEE Conference Abstracts
Publication Date
September 17, 2023
Author(s)
Anqi Jiao, Yi Sun, Chantal Avila, Vicki Chiu, John Molitor, Jeff Slezak, David Sacks, Jiu Chiuan Chen, Tarik Benmarhnia, Darios Getahun, Jun Wu
Abstract
BACKGROUND AND AIM: The rate of severe maternal morbidity (SMM) has continued to increase in the United States. We aimed to examine if maternal exposure to extreme heat is associated with the risk of SMM. METHOD: We conducted a retrospective cohort study and included 425,722 singleton pregnancies from Kaiser Permanente Southern California in 2008-2018. Daily maximum temperature data at a 4 km resolution were obtained. An extreme heat day was defined as a day with the daily maximum temperature exceeding a certain threshold. Four percentiles (i.e., 75th, 90th, 95th, and 98th) of daily maximum temperature during the warm season (May-September) in 2007-2018 in Southern California were selected to define the extreme heat day. Long-term exposures included the proportions of extreme heat days during the entire pregnancy and by trimester. Short-term exposures were measured by 12 different heatwave exposures (combining the four thresholds with three durations, i.e., ≥ 2, ≥ 3, and ≥ 4 consecutive days) during the last gestational week. The discrete-time approach and Cox proportional hazards model were used to estimate the long- and short-term associations between heat exposure and SMM, respectively. Stratified analyses were conducted to examine vulnerable subpopulations and the effectiveness of mitigation measures. RESULTS: There were 7,767 (1.8%) SMM cases during delivery hospitalization in this study. Long-term associations with extreme heat were detected in the entire pregnancy and each trimester. Heatwave exposures during the last gestational week were associated with higher risks of SMM. Stronger associations were observed in mothers who were Hispanic, with lower education or incomes, or smokers. More green space may attenuate heat effects. CONCLUSIONS: Long- and short-term maternal exposure to extreme heat can be associated with an increased risk of SMM. More residential green space can be a potential mitigation strategy.
Suggested Citation
Anqi Jiao, Yi Sun, Chantal Avila, Vicki Chiu, John Molitor, Jeff Slezak, David Sacks, Jiu Chiuan Chen, Tarik Benmarhnia, Darios Getahun and Jun Wu (2023) “Extreme Heat and Severe Maternal Morbidity in Southern California: Evidence of Health Disparities from a Large Pregnancy Cohort”, ISEE Conference Abstracts, 2023(1). Available at: 10.1289/isee.2023.EP-162. published journal article
An analysis of truck-involved freeway accidents using log-linear modeling
Journal of Safety Research
Publication Date
September 1, 1987
Author(s)
Suggested Citation
Thomas F. Golob and Wilfred W. Recker (1987) “An analysis of truck-involved freeway accidents using log-linear modeling”, Journal of Safety Research, 18(3), pp. 121–136. Available at: 10.1016/0022-4375(87)90003-x. published journal article
Traffic-related Noise Exposure and Late-life Dementia and Cognitive Impairment in Mexican–Americans
Epidemiology
Publication Date
November 1, 2020
Abstract
Background: Recently, it has been suggested that environmental exposures from traffic sources including noise may play a role in cognitive impairment in the elderly. The objective of the study was to investigate the association between local traffic-related noise pollution and incident dementia or cognitive impairment without dementia (CIND) during a 10-year follow-up period. Methods: 1612 Mexican–American participants from the Sacramento Area Latino Study on Aging (SALSA) were followed every 12–15 months via home visits from 1998 to 2007. We used the SoundPLAN software package to estimate noise originating from local traffic with the input of Annual Average Daily Traffic (AADT) data from Metropolitan Planning Organizations (MPO) based on geocoded residential addresses at baseline (1998–1999). We estimated the risks of incident dementia or CIND from 24-hour and nighttime noise exposure using Cox proportional hazard models. Results: During the follow-up, we identified 159 incident dementia or CIND cases in total. Per 11.6 dB (interquartile range width) increase in 24-hour noise, the hazard of developing dementia or CIND increased (hazard ratio = 1.3 [1.0, 1.6]) during follow-up; estimates were slightly lower (hazard ratio = 1.2 [0.97, 1.6]) when adjusting for modeled local air pollution exposure from traffic sources. Overall, the risk of dementia/CIND was elevated when 24-hour and nighttime noise were higher than 75 and 65 dB respectively. See video Abstract: https://links.lww.com/EDE/B728. Conclusions: In our study, traffic-related noise exposure was associated with increased risk of dementia or CIND in elderly Mexican–Americans. Future studies taking into account other noise sources and occupational noise exposure before retirement are needed.
Suggested Citation
Yu Yu, Elizabeth Rose Mayeda, Kimberly C. Paul, Eunice Lee, Michael Jerrett, Jason Su, Jun Wu, I.-Fan Shih, Mary Haan and Beate Ritz (2020) “Traffic-related Noise Exposure and Late-life Dementia and Cognitive Impairment in Mexican–Americans”, Epidemiology, 31(6), p. 771. Available at: 10.1097/EDE.0000000000001249. published journal article
Expert systems in pavement management
Transportation Research Part A: General
Publication Date
March 1, 1987
Author(s)
Suggested Citation
Stephen G. Ritchie (1987) “Expert systems in pavement management”, Transportation Research Part A: General, 21(2), pp. 145–152. Available at: 10.1016/0191-2607(87)90007-0. published journal article
Mitigation behaviors of homeowners and renters in the wildland urban interface
International Journal of Disaster Risk Reduction
Publication Date
September 1, 2025
Author(s)
Aishwarya Borate, Omar Pérez Figueroa, Doug Houston, Christopher Ihinegbu, Ariane Jong-Levinger, Jochen E. Schubert, Brett F. Sanders
Areas of Expertise
Suggested Citation
Aishwarya Borate, Omar Pérez Figueroa, Douglas Houston, Christopher Ihinegbu, Ariane Jong-Levinger, Jochen E. Schubert and Brett F. Sanders (2025) “Mitigation behaviors of homeowners and renters in the wildland urban interface”, International Journal of Disaster Risk Reduction, 127, p. 105688. Available at: 10.1016/j.ijdrr.2025.105688. MS Thesis
Exploratory ideas for projecting the growth of alternative fuel vehicles : an ecological perspective
Publication Date
June 30, 2011
Author(s)
Abstract
The rise of alternative fuel vehicles has had an impact on vehicle choice in recent years. The acceptance and growth of these vehicles is dependent upon many factors. In this thesis we present some ideas drawn from analogies to ecology to help explain a possible demand towards alternative fuel vehicles. More specifically, using basic growth and decay rates of species populations, we present some preliminary analysis regarding how ecological modeling may relate to the growth of hydrogen and battery electric vehicles. We build upon the dynamics of the ecology equations to postulate potential vehicle growth patterns. We generate synthetic data to demonstrate potential applications of the analogous models for real world scenarios and to predict possible outcomes. Additionally, we look at migration probabilities between different vehicle population areas to see how vehicles travel on a limited range, as well as examine a mutualism dynamic that could possibly exist between vehicles and their refueling or charging stations. It is emphasized that the work presented here is exploratory in nature, and that any actual application of the models that are developed is well beyond the scope of this thesis. Rather, our purpose is only to identify and demonstrate certain aspects of ecological modeling that may shed light on the potential for alternative fuel vehicles to gain an appreciable market share of the current internal combustion vehicle marketplace.