published journal article
Area of Expertise: Unspecified
published journal article
Breathing Room: Industrial Zoning and Asthma Incidence Using School District Health Records in the City of Santa Ana, California
International Journal of Environmental Research and Public Health
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Author(s)
Abstract
Background: Traffic and industrial emissions are associated with increased pediatric asthma morbidity. However, few studies have examined the influence of city industrial zoning on pediatric asthma outcomes among minoritized communities with limited access to air monitoring. Methods: In this cross-sectional analysis of 39,974 school-aged students in Santa Ana, CA, we investigated the effect of proximity to areas zoned for industrial use on pediatric asthma prevalence, physical fitness, school attendance, and standardized test scores. Results: The study population was 80.6% Hispanic, with 88.2% qualifying for free/reduced lunch. Compared to students living more than 1 km away from industrial zones, those living within 0.5 km had greater odds of having asthma (adjusted OR 1.21, 95% CI 1.09 to 1.34, p < 0.001). Among children with asthma, those living between 0.5–1.0 km had greater odds of being overweight or obese (aOR 1.47, 95% CI 1.00, 2.15, p = 0.047). Industrial zone proximity was not significantly associated with worse fitness and academic outcomes for students with asthma. Conclusion: These findings suggest that industrial zone proximity is associated with increased pediatric asthma in a predominantly Latino community in Southern California.
Suggested Citation
Kelton Mock, Anton M. Palma, Jun Wu, John Billimek and Kim D. Lu (2022) “Breathing Room: Industrial Zoning and Asthma Incidence Using School District Health Records in the City of Santa Ana, California”, International Journal of Environmental Research and Public Health, 19(8), p. 4820. Available at: 10.3390/ijerph19084820.conference paper
HRV: Hybrid routing in vehicular networks
Proceedings of the 92nd annual meeting of the transportation research board
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Author(s)
Abstract
To improve the quality of wireless communication and extend the application of emerging networking paradigms in Vehicular Ad Hoc Networks (VANETs), we design a hybrid routing scheme for VANETs, called HRV. It presents a holistic solution for inter-vehicle, vehicle-to-roadside, and inter-roadside communications in hybrid urban networks. The combination of roadside unit (RSU) resources and ad hoc networks involves a network coding based multicast routing for dense VANETs, using maximum distance separation (MDS) code and local topology information from the forwarding set to achieve robust communication and max-flow min-cut data transmission; an application of opportunistic routing, using a carry and forward scheme, to solve the forwarding disconnection problem in sparse VANETs; and a routing switch mechanism to guarantee quality of service (QoS) in HRV under various vehicular network connectivity and roadside deployment configurations. The performance of our hybrid routing schemes is evaluated using reliable VANET experiments.
Suggested Citation
Di Wu and Amelia Regan (2013) “HRV: Hybrid routing in vehicular networks”, in Proceedings of the 92nd annual meeting of the transportation research board, p. 18p.conference paper
Learning from Land Use Reforms
2022 APPAM Fall Research Conference
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Author(s)
Suggested Citation
Nicholas Marantz, Ingrid Gould Ellen, Betty Xiao Wang and Jenny Schuetz (2022) “Learning from Land Use Reforms”, in 2022 APPAM Fall Research Conference. APPAM. Available at: https://appam.confex.com/appam/2022/meetingapp.cgi/Session/16706 (Accessed: August 21, 2025).published journal article
An assessment of the political acceptability of congestion pricing
Transportation
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Abstract
There is renewed interest in implementing congestion pricing in metropolitan areas throughout the US. This paper reviews changes in the transportation policy environment that have led to this renewed interest and identifies the major interest groups that support congestion pricing. A case study is used to demonstrate that significant barriers to congestion pricing implementation continue to exist. The paper concludes with some suggestions for developing politically acceptable pricing alternatives.
Suggested Citation
Genevieve Giuliano (1992) “An assessment of the political acceptability of congestion pricing”, Transportation, 19(4), pp. 335–358. Available at: 10.1007/BF01098638.conference paper
Applications of path flow estimator for estimating origin-destination trip tables
Proceedings, 7th Hong Kong Society of Transportation Studies Conference
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Author(s)
Suggested Citation
P. Chootin, A. Chen and W. W. Recker (2002) “Applications of path flow estimator for estimating origin-destination trip tables”, in Proceedings, 7th Hong Kong Society of Transportation Studies Conference.conference paper
Heterogeneities in Older Adults Travel Times and Activity Durations: Analysis of the 2017 NHTS Personal Trip Data
100th Transportation Research Board (TRB) Annual Meeting
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Author(s)
Suggested Citation
Mingqi Yao, Suman K. Mitra and Stephen G. Ritchie (2021) “Heterogeneities in Older Adults Travel Times and Activity Durations: Analysis of the 2017 NHTS Personal Trip Data”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC.conference paper
Accessibility of health care
Proceedings, 8th Annual Urban Symposium, Association for Computing Machinery
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Author(s)
Suggested Citation
R. E. Paaswell and W. W. Recker (1973) “Accessibility of health care”, in Proceedings, 8th Annual Urban Symposium, Association for Computing Machinery, pp. 49–58.working paper
Multiple Imputation Methodology for Missing Data, Non-Random Response and Panel Attrition
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Working Paper
Abstract
Modern travel-behavior surveys have become quite complex; they frequently include multiple telephone contacts, travel diaries, and customized stated preference experiments. The complexity and length of these surveys lead to pervasive problems with missing data and non-random response biases. Panel surveys, which are becoming common in transportation research, also suffer from non-random attrition biases. This paper shows how Rubin’s (1987a) multiple imputation methodology provides a unified approach to alleviating these problems. Before discussing solutions to problems caused by missing data and selection, it is important to recognize that their presence causes fundamental problems with identifying models and even “simple” population estimates. Section 2 reviews this work and stresses the need to make generally untestable assumptions in order to carry out any inference with missing data.
Suggested Citation
David Brownstone (1997) Multiple Imputation Methodology for Missing Data, Non-Random Response and Panel Attrition. Working Paper UCI-ITS-WP-97-4, UCTC 594. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/03f6g5zx.conference paper