working paper

Highways and Economic Productivity: Interpreting Recent Evidence

Publication Date

October 1, 1995

Associated Project

Author(s)

Abstract

This paper reviews the recent literature on public infrastructure and economic productivity, with special attention to the particular case of highway infrastructure. Recent evidence suggests that, at the margin, highway infrastructure contributes little to state or national productivity. This is consistent with studies that show relatively small land use impacts from modern highways. Yet the idea that highways enhance economic health is common in the policy and planning communities. Two explanations can help reconcile this divergence between academic research and popular perception. First, some of the economic development observed near highways might not actually be caused by the highway. Second, some of the economic development near highways might be a shift of economic activity away from other areas. Either explanation suggests the need for reforms in highway project analysis and funding. Appropriate policy reforms and directions for future research are suggested.

conference paper

WIP: Deployability improvement, stealthiness user study, and safety impact assessment on real vehicle for dirty road patch attack

Workshop on Automotive and Autonomous Vehicle Security (AutoSec)

Publication Date

January 1, 2021

Author(s)

Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
Suggested Citation
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin and Qi Alfred Chen (2021) “WIP: Deployability improvement, stealthiness user study, and safety impact assessment on real vehicle for dirty road patch attack”, in Workshop on Automotive and Autonomous Vehicle Security (AutoSec), p. 25. Available at: https://www.ndss-symposium.org/wp-content/uploads/autosec2021_23027_paper.pdf (Accessed: October 11, 2023).

published journal article

Individual truck speed estimation from advanced single inductive loops

Transportation Research Record

Suggested Citation
Yiqiao Li, Andre Y.C. Tok and Stephen G. Ritchie (2019) “Individual truck speed estimation from advanced single inductive loops”, Transportation Research Record, 2673(5), pp. 272–284. Available at: 10.1177/0361198119841289.

published journal article

An instantaneous kinematic wave theory of diverging traffic

Transportation Research Part B: Methodological

Publication Date

February 1, 2013
Suggested Citation
Wen-Long Jin and H. Michael Zhang (2013) “An instantaneous kinematic wave theory of diverging traffic”, Transportation Research Part B: Methodological, 48(1), pp. 1–16. Available at: 10.1016/j.trb.2012.12.001.

research report

Factors affecting speed of motor vehicles on urban arterials: Case of chennai, India

Publication Date

January 1, 2006
Suggested Citation
Michael G McNally, R Jayakrishnan, Nesamani Subramanian Kalandiyur and KP Subramanian (2006) Factors affecting speed of motor vehicles on urban arterials: Case of chennai, India.

published journal article

Child serum metabolome and traffic-related air pollution exposure in pregnancy

Environmental Research

Publication Date

January 1, 2022

Author(s)

Beate Ritz, Qi Yan, Di He, Jun Wu, Douglas I. Walker, Karan Uppal, Dean P. Jones, Julia E. Heck

Abstract

Background Maternal exposure to traffic-related air pollution during pregnancy has been shown to increase the risk of adverse birth outcomes and childhood disorders. High-resolution metabolomics (HRM) has previously been employed to identify metabolic responses to traffic-related air pollution in adults, including pregnant women. Thus far, no studies have examined metabolic effects of air pollution exposure in utero on neonates. Methods We retrieved stored neonatal blood spots for 241 children born in California between 1998 and 2007. These children were randomly selected from all California birth rolls to serve as birth-year matched controls for children with retinoblastoma identified from the California cancer registry for a case control study of childhood cancer. We estimated prenatal traffic-related air pollution exposure (particulate matter less than 2.5 μm (PM2.5)) during the third-trimester using the California Line Source Dispersion Model, version 4 (CALINE4) based on residential addresses recorded at birth. We employed untargeted HRM to obtain metabolic profiles, and metabolites associated with air pollution exposure were identified using partial least squares (PLS) regression and linear regressions. Biological effects were characterized using pathway enrichment analyses adjusting for potential confounders including maternal age, race/ethnicity, and education. Results In total we extracted 4038 and 4957 metabolite features from neonatal blood spots in hydrophilic interaction (HILIC) chromatography (positive ion mode) and C18 reverse phase columns (negative ion mode), respectively. After controlling for confounding factors, partial least square regression (Variable Importance in Projection (VIP) ≥ 2) selected 402 HILIC positive and 182 C18 negative features as statistically significantly associated with increasing third trimester PM2.5 exposure. Using pathway enrichment analysis, we identified metabolites in oxidative stress and inflammation pathways as being altered, primarily involving lipid metabolism. Conclusion The metabolite features and pathways associated with air pollution exposure in neonates suggest that maternal exposure during late pregnancy contributes to oxidative stress and inflammation in newborn children.

Suggested Citation
Beate Ritz, Qi Yan, Di He, Jun Wu, Douglas I. Walker, Karan Uppal, Dean P. Jones and Julia E. Heck (2022) “Child serum metabolome and traffic-related air pollution exposure in pregnancy”, Environmental Research, 203, p. 111907. Available at: 10.1016/j.envres.2021.111907.

conference paper

US household preferences for alternative-fuel vehicles: Results from a national survey

Proceedings of the 91st annual meeting of the transportation research board

Publication Date

January 1, 2012

Abstract

This paper analyzes responses to a 2010 national survey of 835 US households to explore consumer preferences among five types of vehicles that differ in propulsion technology (gasoline, hybrid electric (HEV), compressed natural gas (CNG), hydrogen fuel cell (HFC), and electric (EV)), vehicle cost, fuel cost, fuel availability, vehicle range, and CO2 emissions during operation. Although gasoline-fueled vehicles are still preferred, there was strong interest in alternatives to gasoline vehicles, and especially in HEVs, while EVs are least popular. The authors estimated a panel rank-ordered mixed logit model to understand the impact of vehicle characteristics and of the socio-economic characteristics of respondents on their preferences for alternative fuel technologies. With the exception of CNG, respondents prefer alternative propulsion technology in cars as opposed to pick-up trucks, sport utility vehicles (SUV), or minivans. The region where people live is not statistically significant. Education matters only in the case of HEVs, but gender has no significant impact, and the influence of age is technology specific. It was found that environmental attitudes are strong predictors of AFV support, particularly for HFC vehicles and EVs. In addition, the authors elicited trade-offs people are willing to make between vehicle cost, fuel cost, vehicle range, and refueling time. In spite of consumer interest for alternative-fuel vehicles, environmental benefits still take second place to economic considerations.

Suggested Citation
Jean-Daniel Saphores and Hilary Nixon (2012) “US household preferences for alternative-fuel vehicles: Results from a national survey”, in Proceedings of the 91st annual meeting of the transportation research board, p. 18p.

conference paper

Continuum car-following model of capacity drop at sag and tunnel bottlenecks

Transportation research procedia

Publication Date

January 1, 2018

Author(s)

Suggested Citation
K. Wada, I. Martínez and W.-L. Jin (2018) “Continuum car-following model of capacity drop at sag and tunnel bottlenecks”, in Transportation research procedia, pp. 668–687. Available at: 10.1016/j.trpro.2019.05.035.

published journal article

Inventory planning with forecast updates: Approximate solutions and cost error bounds

Operations Research

Publication Date

December 1, 2006
Suggested Citation
Xiangwen Lu, Jing-Sheng Song and Amelia Regan (2006) “Inventory planning with forecast updates: Approximate solutions and cost error bounds”, Operations Research, 54(6), pp. 1079–1097. Available at: 10.1287/opre.1060.0338.