published journal article

Automated detection of lane-blocking freeway incidents using artificial neural networks

Transportation Research Part C: Emerging Technologies

Publication Date

December 1, 1995
Suggested Citation
Ruey L. Cheu and Stephen G. Ritchie (1995) “Automated detection of lane-blocking freeway incidents using artificial neural networks”, Transportation Research Part C: Emerging Technologies, 3(6), pp. 371–388. Available at: 10.1016/0968-090x(95)00016-c.

published journal article

Unifiable multi-commodity kinematic wave model

Transportation Research Part B: Methodological

Publication Date

November 1, 2018

Author(s)

Suggested Citation
Wen-Long Jin (2018) “Unifiable multi-commodity kinematic wave model”, Transportation Research Part B: Methodological, 117, pp. 639–659. Available at: 10.1016/j.trb.2017.08.013.

book/book chapter

Transit in American Cities

Publication Date

January 1, 1986
Suggested Citation
Gordon J Fielding (1986) “Transit in American Cities”, in The Geography of Urban Transportation. 2nd ed. New York: Guilford Press, pp. 229–246.

published journal article

What drives variations in public health and social services expenditures? the association between political fragmentation and local expenditure patterns

The European Journal of Health Economics

Publication Date

July 1, 2022

Author(s)

Yonsu Kim, Jae Hong Kim

Abstract

The US spends two times more than the OECD average in health expenditure but has a much smaller portion of public health spending to total health expenditure than other OECD countries. While it has been suggested that public health and social services spending is crucial to promoting health outcomes, less is known about what drives variations in public health expenditure across regions. This study aims to examine whether political fragmentation in local governance is associated with variations in public health and social services expenditures. Using the US Census of Governments, we constructed a panel dataset of political fragmentation and local government spending patterns (1997–2012) for 792 US counties (population > 60,882, top 25%) and employed Least Squares Dummy Variable (LSDV) and Generalized Estimating Equations (GEE) models. We found that per capita public health spending tended to be smaller in areas where the degree of political fragmentation was higher (Coef:  – 0.034; p < 0.01), particularly when general-purpose governments were more fragmented (Coef:  – 0.087; p < 0.001). The proportion of public health spending also decreased when local governments were more fragmented (Coef:  – 0.012; p < 0.001). Social services expenditures and their proportions to total government expenditure fell with an increase in the degree of political fragmentation. Our findings suggest that fragmented governance settings, in which localities are more likely to face competition with others, may lead to a reduction in public spending essential for population health and that political fragmentation can also have a deterrent effect on broader categories of health-related social services spending.

Suggested Citation
Yonsu Kim and Jae Hong Kim (2022) “What drives variations in public health and social services expenditures? the association between political fragmentation and local expenditure patterns”, The European Journal of Health Economics, 23(5), pp. 781–789. Available at: 10.1007/s10198-021-01394-x.

published journal article

Does e-shopping impact household travel? Evidence from the 2017 U.S. NHTS

Journal of Transport Geography

Publication Date

February 1, 2024

Abstract

How does e-shopping impact household travel? To answer this question, which is particularly relevant for policymakers concerned with congestion, air pollution, and greenhouse gas emissions from transportation, we analyzed data from the 2017 National Household Travel Survey using propensity score matching. This allowed us to tackle the bias from households self-selecting into various levels of e-shopping and gain causal inference. Unlike other related papers in the literature, our unit of analysis is a household because travel and shopping decisions within a household are interrelated. We classified households into three groups based on how many orders per person per month they placed online: low (up to one), medium (more than once but less than four), and high (over four). We found that more e-shopping results in more household travel (number of trips, miles, and VMT), but this effect depends on e-shopping frequency and population density, and it affects weekdays more than weekends. E-shopping impacts household travel more for medium frequency e-shoppers in low density areas: compared to similar low frequency e-shoppers, on weekdays, they take on average 8 more monthly trips and travel ∼104 extra miles (including 31 miles for shopping). At the other end of the spectrum, high frequency e-shoppers in dense areas do not travel more on weekends than similar low e-shopping frequency households. To help reduce e-shopping induced travel, policymakers could encourage the creation of neighborhood depots where households would pick-up and return unwanted orders, and foster the development of virtual reality tools for shopping from home.

Suggested Citation
Lu Xu and Jean-Daniel Saphores (2024) “Does <i>e</i>-shopping impact household travel? Evidence from the 2017 U.S. NHTS”, Journal of Transport Geography, 115, p. 103827. Available at: 10.1016/j.jtrangeo.2024.103827.

conference paper

Lane Management Strategies in A Connected Environment: Analysis of Freight Corridor Scenarios for I-170 in Southern California

102nd Annual Meeting of the Transportation Research Board, Washington, D.C.

Publication Date

January 1, 2023
Suggested Citation
Monica Ramirez-Ibarra and Jean-Daniel Saphores (2023) “Lane Management Strategies in A Connected Environment: Analysis of Freight Corridor Scenarios for I-170 in Southern California”, in 102nd Annual Meeting of the Transportation Research Board, Washington, D.C..

published journal article

The price effects of international airline alliances

The Journal of Law and Economics

Publication Date

October 1, 2000

Author(s)

Jan Brueckner, W. Tom Whalen

Abstract

Abstract This paper provides evidence on the effect of international airline alliances on fares. The main finding is that alliance partners charge interline fares that are approximately 25 percent below those charged by nonallied carriers. According to our theoretical model, the main source of this fare reduction is the internalization of a negative externality that arises from the uncoordinated choice of interline “sub-fares” in the absence of an alliance. The paper also looks for evidence of an anti-competitive alliance effect in the gateway-to-gateway markets. While the point estimates show that an alliance between two previously competitive carriers would raise fares by about 5 percent, this effect is not statistically significant.

Suggested Citation
Jan K. Brueckner and W. Tom Whalen (2000) “The price effects of international airline alliances”, The Journal of Law and Economics, 43(2), pp. 503–546. Available at: 10.1086/467464.

published journal article

A new methodology for incident detection and characterization on surface streets

Transportation Research Part C: Emerging Technologies

Publication Date

December 1, 1998
Suggested Citation
Jiuh-Biing Sheu and Stephen G. Ritchie (1998) “A new methodology for incident detection and characterization on surface streets”, Transportation Research Part C: Emerging Technologies, 6(5-6), pp. 315–335. Available at: 10.1016/s0968-090x(99)00002-9.