published journal article

On-Line Algorithms for the Dynamic Traveling Repair Problem

Journal of Scheduling

Abstract

We consider the dynamic traveling repair problem in which requests with deadlines arrive through time on points in a metric space. Servers move from point to point at constant speed. The goal is to plan the motion of servers so that the maximum number of requests are met by their deadline. We consider a restricted version of the problem in which there is a single server and the length of time between the arrival of a request and its deadline is constant. We give upper bounds for the competitive ratio of two very natural algorithms as well as several lower bounds for any deterministic algorithm. Most of the results in this paper are expressed as a function of β, the diameter of the metric space. In particular, we prove that the upper bound given for one of the two algorithms is within a constant factor of the best possible competitive ratio.

Suggested Citation
Sandy Irani, Xiangwen Lu and Amelia Regan (2004) “On-Line Algorithms for the Dynamic Traveling Repair Problem”, Journal of Scheduling, 7(3), pp. 243–258. Available at: 10.1023/B:JOSH.0000019683.85186.57.

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.

MS Thesis

Implementation of a Real-time Information Processing Algorithm in TRANSYT-7F

Suggested Citation
Balaji Ramanathan (1992) Implementation of a Real-time Information Processing Algorithm in TRANSYT-7F. MS Thesis. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991031508139704701.

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
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.

Phd Dissertation

Electronic waste management in California : consumer attitudes toward recycling, advanced recycling fees, "green" electronics, and willingness to pay for e-waste recycling

Publication Date

June 30, 2006

Author(s)

Areas of Expertise

Suggested Citation
Hilary Nixon (2006) Electronic waste management in California : consumer attitudes toward recycling, advanced recycling fees, "green" electronics, and willingness to pay for e-waste recycling. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991034707529704701.

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.