conference paper
The Impact of Covid-19 on Transit, Walking/Biking, and TNC Use in California – How Will Californians Travel after the Pandemic?
102nd Transportation Research Board Annual Meeting 2023
Publication Date
January 1, 2023
Area of Expertise: Unspecified
published journal article
Reductions in aggression and violence following cognitive behavioural anger treatment for detained patients with intellectual disabilities. Reductions in aggression and violence in detained patients
Journal of Intellectual Disability Research
Publication Date
August 1, 2015
Author(s)
J.L. Taylor, Raymond Novaco, Tim Brown
Suggested Citation
J.L. Taylor, R.W. Novaco and T. Brown (2015) “Reductions in aggression and violence following cognitive behavioural anger treatment for detained patients with intellectual disabilities. Reductions in aggression and violence in detained patients”, Journal of Intellectual Disability Research, 60(2), pp. 126–133. Available at: 10.1111/jir.12220. published journal article
Land use regulation and intraregional population–employment interaction
The Annals of regional science
Publication Date
February 1, 2013
Author(s)
Jae Hong Kim, Geoffrey J.D. Hewings
Suggested Citation
Jae Hong Kim and Geoffrey J.D. Hewings (2013) “Land use regulation and intraregional population–employment interaction”, The Annals of regional science, 51(3), pp. 671–693. Available at: 10.1007/s00168-013-0557-1. published journal article
Parking and urban form
Journal of economic geography
Publication Date
February 1, 2016
Author(s)
Jan Brueckner, Sofia F. Franco
Suggested Citation
Jan K. Brueckner and Sofia F. Franco (2016) “Parking and urban form”, Journal of economic geography, 17(1), pp. 95–127. Available at: 10.1093/jeg/lbv048. published journal article
Association between wild vascular plant species richness and preterm birth in urban areas: a retrospective cohort study in Southern California
ISEE Conference Abstracts
Publication Date
August 15, 2024
Author(s)
Mengyi Li, Qiping Fan, Yi Sun, Anqi Jiao, John Molitor, Tarik Benmarhnia, Jiu Chiuan Chen, Darios Getahun, Jun Wu
Abstract
BACKGROUND AND AIM[|]Urban biodiversity has a profound impact on human health that has not been thoroughly investigated. Little research exists regarding the associations between plant species richness and preterm birth (PTB). We aimed to examine the relationships between PTB and plant species richness, and the effect modifications by maternal characteristics, air pollution, ambient temperature, and the coronavirus disease (COVID-19) pandemic.[¤]METHOD[|]Clinical and sociodemographic data were obtained from Kaiser Permanente Southern California electronic health records in 2015–2021. PTB was defined as gestational age at birth less than 37 weeks. Maternal residential plant species diversity data were extracted from a wild vascular plant species diversity map across California urban areas at 5km resolution, and the maternal residential green space exposure data were assessed from satellite-based images (Normalized Difference Vegetation Index (NDVI) and land-cover green space). Multilevel logistic regressions were applied to examine the association between PTB and plant species diversity, after controlling for maternal age, race/ethnicity, education, and median household income. We also examined the effect modifications by maternal characteristics, air pollution, ambient temperature, and COVID pandemic (delivery before or during the pandemic) factors.[¤]RESULTS[|]In total, we included 302,266 births occurring between January 1, 2015, and December 31, 2021, with 21,421 (7.1%) PTB cases. Plant species richness in 2500m buffer showed a protective association with PTB (odds ratio [OR]: 0.980, 95% CI: 0.964, 0.996). The association persisted after further adjustments for NDVI and land-cover green space. The risk of PTB associated with plant species richness were significantly lower among mothers having a college degree, living in neighborhood with higher levels of O3 and average ambient temperature, and during the pandemic.[¤]CONCLUSIONS[|]This study found that maternal exposure to higher plant species diversity was associated with a decreased risk of PTB. Our findings suggest a complex interplay of sociodemographic and environmental factors influencing PTB risks.[¤]
Suggested Citation
Mengyi Li, Qiping Fan, Yi Sun, Anqi Jiao, John Molitor, Tarik Benmarhnia, Jiu Chiuan Chen, Darios Getahun and Jun Wu (2024) “Association between wild vascular plant species richness and preterm birth in urban areas: a retrospective cohort study in Southern California”, ISEE Conference Abstracts, 2024(1). Available at: 10.1289/isee.2024.0426. book/book chapter
Using evolutionary programming to control metering rates on freeway ramps
Publication Date
January 1, 1995
Author(s)
John R. McDonnell, David B. Fogel, Craig Rindt, Will Recker, Lawrence J. Fogel
Suggested Citation
John R. McDonnell, David B. Fogel, Craig R. Rindt, Wilfred W. Recker and Lawrence J. Fogel (1995) “Using evolutionary programming to control metering rates on freeway ramps”, in Evolutionary algorithms in management applications. Springer Berlin Heidelberg, pp. 305–327. Available at: https://doi.org/10.1007/978-3-642-61217-6_18. conference paper
Hierarchical Bayesian estimation of freeway travel time distributions with small samples of non-identical probes in successive days
15th world congress on intelligent transport systems and ITS america's 2008 annual meeting, new york
Publication Date
January 1, 2008
Author(s)
Suggested Citation
Klayut Jintanakul, Lianyu Chu and R Jayakrishnan (2008) “Hierarchical Bayesian estimation of freeway travel time distributions with small samples of non-identical probes in successive days”, in 15th world congress on intelligent transport systems and ITS america's 2008 annual meeting, new york. published journal article
Bootstrap confidence bands for shrinkage estimators
Journal of Econometrics
Publication Date
May 1, 1999
Author(s)
Suggested Citation
Camilla Kazimi and David Brownstone (1999) “Bootstrap confidence bands for shrinkage estimators”, Journal of Econometrics, 90(1), pp. 99–127. Available at: 10.1016/s0304-4076(98)00037-2. published journal article
Social media effects on sustainable mobility opinion diffusion: Model framework and implications for behavior change
Travel Behaviour and Society
Publication Date
April 1, 2020
Author(s)
Elisa Borowski, Y. Chen, Hani Mahmassani
Abstract
Opinions regarding emergent sustainable transportation alternatives, such as bikeshare and e-scooters, and more traditional green alternatives like public transit, spread through social networks via opinion diffusion mechanisms, like word-of-mouth and mass media. The impact of social media on diffusion of sustainable mobility opinions is not well-understood given the present lack of data. To address this gap, this paper introduces a modeling framework for the impact of social media on opinion diffusion. Inspired by Roger’s diffusion theory, the framework applies different learning mechanisms (e.g., word-of-mouth and mass media) in network architectures to explore the effects of network topology on acceptance of green travel alternatives using conceptual idealizations of the complex processes involved in diffusion interactions. We present a dynamic agent-based simulation methodology capturing the impact of information and communications technology (ICT) like social media on diffusion of environmentally friendly travel mode consideration through social networks. The agent-based models provide visual comparisons of the effects of network structure and social media influence on opinion diffusion, the way opinions spread, and which agents exhibit the strongest influence. We identify types of social media influencers that most effectively encourage adoption of sustainable transportation alternatives and present an illustrative framework of the mechanisms that drive opinion diffusion. Exploratory findings suggest that: (1) scale-free networks provide the slowest initial diffusion rate but the greatest overall diffusion over time, (2) the most effective behavior incentivization strategies depend on network structure, (3) in scale-free networks, increasing the number of initial opinion leaders improves diffusion, while increasing the number of communication encounters within the network over the first year following product deployment does not noticeably improve diffusion, and (4) providing smaller financial incentives to a greater number of opinion leaders is the best strategy.
Suggested Citation
E. Borowski, Y. Chen and H. Mahmassani (2020) “Social media effects on sustainable mobility opinion diffusion: Model framework and implications for behavior change”, Travel Behaviour and Society, 19, pp. 170–183. Available at: 10.1016/j.tbs.2020.01.003. published journal article
Traffic exposure near the Los Angeles–Long Beach port complex: Using GPS-enhanced tracking to assess the implications of unreported travel and locations
Journal of Transport Geography
Publication Date
November 1, 2011
Author(s)
Doug Houston, Paul Ong, Guillermo Jaimes, Arthur Winer
Abstract
Traffic exposure assessments could misclassify the extent and locations of exposure if traditional recall surveys and self-reported travel diaries do not record all participant activities. The Harbor Communities Time Location Study (HCTLS) examines the nature, extent and implications of underreported locations/trips in a case study which used portable Global Positioning Systems (GPS) devices to track the diurnal patterns and traffic exposure of 47 residents of communities near the Los Angeles-Long Beach port complex. Participants were similar to adults nationwide in time spent indoors, in-vehicle, and outdoors, but spent more time indoors at home (78% vs. 66%). Overall, participants did not report nearly half (49%) of the locations and trips identified in GPS-enhanced data on their activity diaries, resulting in about 3 h/day in unreported locations and 0.6 h/day in unreported trips. The probability of a location/trip being underreported was systematically correlated with participant and location/trip characteristics. Self-reported data missed about 50 min of heightened air pollution exposures during the 5 h/day on average participants spent in high-traffic areas and about 30 min during the 4 h/day near truck routes. GPS-enhanced methods provide opportunities to more precisely characterize exposure periods and tools to identify facility, roadway, and land use types of the greatest concern for mitigation efforts. Published by Elsevier Ltd.