conference paper

Carless in car heaven: A comparison of German and Californian households

Proceedings of the 97th annual meeting of the transportation research board

Publication Date

January 1, 2018

Author(s)

Abstract

One approach to making transportation more sustainable is to transition away from a car-oriented society. Unfortunately, the understanding of the factors that prompt households to voluntarily forgo their motor vehicles is limited. The 2008 Mobility in Germany (MiD) and the 2012 California Household Travel Survey (CHTS) provide an opportunity to start filling this gap. The authors estimate Generalized Structural Equation Models (GSEM) to tease out what built environment and socio-economic variables impact the likelihood that a household is carless (voluntarily or not) in Germany and in California. The results show that in both Germany and California, households who reside in denser neighborhoods, closer to transit stations, who have a lower income or fewer children, are more likely to be voluntarily carless than to be motorized. However, households with more education are more likely to be voluntarily carless in Germany, whereas the reverse is true in California. Moreover, employment density and public transit have a higher impact on voluntary carlessness in Germany than in California. The results also show that different socio-economic groups have substantially different residential location preferences in Germany and in California. These differences may be explained by cultural preferences, historical differences in land use and transportation policies, and by the higher cost of owning a motor vehicle in Germany.

Suggested Citation
Kathrin Kuehne, Suman K. Mitra and Jean-Daniel M. Saphores (2018) “Carless in car heaven: A comparison of German and Californian households”, in Proceedings of the 97th annual meeting of the transportation research board, p. 18p.

conference paper

Exploring the role of ride-hailing in trip chains

Proceedings of the 3rd annual irvine symposium for emerging research in transportation (ISERT 2020)

Publication Date

January 1, 2020

Author(s)

Suggested Citation
Tanjeeb Ahmed (2020) “Exploring the role of ride-hailing in trip chains”, in Proceedings of the 3rd annual irvine symposium for emerging research in transportation (ISERT 2020).

conference paper

Electrification of Off-Road Construction Vehicles: A Comparative Economic Analysis of Electric and Diesel Machinery

Proceedings, 104th Annual Meeting of the Transportation Research Board

Publication Date

January 1, 2025

Abstract

phores, University of California, Irvine This paper evaluates the economic viability of transitioning from diesel to selected off-road electric construction vehicles through a Total Cost of Ownership (TCO) analysis coupled with a Monte Carlo analysis. As global climate change intensifies, the shift toward electric vehicles is crucial for reducing greenhouse gas emissions, particularly in the construction sector, which comprises approximately 1.1% of global annual CO2 emissions. Electrifying off-road construction vehicles would also reduce PM2.5 and noise pollution but face challenges such as high acquisition costs and complex refueling logistics. Our analysis covers 20 models of wheel loaders and excavators, comparing electric equipment with their diesel counterparts. Projections for 2035, aligned with California’s executive order to significantly reduce emissions by that year, indicate that anticipated reductions in battery prices alone will not make the TCO of electric wheel loaders and excavators competitive with their diesel equivalents. This highlights the need for government incentives to facilitate this transition. This study contributes to the literature by providing an economic rationale for adopting off-road electric equipment in the construction sector and should be of interest to regulating agencies, rental firms, and construction companies.

Suggested Citation
Shakib Kafashan and Jean-Daniel Saphores (2025) “Electrification of Off-Road Construction Vehicles: A Comparative Economic Analysis of Electric and Diesel Machinery”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington D.C..

published journal article

Uncovering the contribution of travel time reliability to dynamic route choice using real-time loop data

Transportation Research Part A: Policy and Practice

Publication Date

July 1, 2004

Abstract

Travel time reliability has generally been surmised to be an important attribute of transportation systems. In this paper, we study the contribution of travel time reliability in travelers’ route choice decisions. Traveler’s route choice is formulated as a mixed-logit model, with the coefficients in the model representing individual traveler’s preferences or tastes towards travel time, reliability and cost. Unlike the traditional approach involving the use of traveler surveys to estimate model coefficients and thereby uncover the contribution of travel time reliability, we instead apply the methodology to real-time loop detector data, and use genetic algorithm to identify the parameter set that results in the best match between the aggregated results from traveler’s route choice model and the observed time-dependent traffic volume data from loop detectors. Based on freeway loop data from California State Route 91, we find that the estimated median value of travel-time reliability is significantly higher than that of travel-time, and that the estimated median value of degree of risk aversion indicates that travelers value a reduction in travel time variability more highly than a corresponding reduction in the travel time for that journey. Moreover, travelers’ attitudes towards congestion are not homogeneous; substantial heterogeneity exists in travelers’ preference of travel time and reliability. Our results validate results from previous studies involving the California State Route 91 value-pricing project that were based on traditional traveler surveys and demonstrate the applicability of the approach in travelers’ behavioral studies. (C) 2004 Elsevier Ltd. All rights reserved.

Suggested Citation
Henry X. Liu, Will Recker and Anthony Chen (2004) “Uncovering the contribution of travel time reliability to dynamic route choice using real-time loop data”, Transportation Research Part A: Policy and Practice, 38(6), pp. 435–453. Available at: 10.1016/j.tra.2004.03.003.

policy brief

Planning Light- and Heavy-Duty ZEV Infrastructure for a More Resilient Fueling Network in California

Publication Date

March 1, 2026

Author(s)

Abstract

To meet goals for air quality improvement and greenhouse gas reduction, California aims to expand both light-duty and heavy-duty zero-emission vehicles (ZEVs). To support these aims, the State has set targets for the number of electric charging and hydrogen fueling stations, but deployment is falling short of these targets. For example, there were only 50 hydrogen stations and just over 200,000 chargers as of September 2025, as compared to the goals for this year, set in 2018, of 200 hydrogen stations and 250,000 electric vehicle chargers. Building a large, reliable, equitable network in a short time presents challenges of scale, reliability, and resiliency. One possible way to address these challenges is to combine light-and heavy-duty vehicle charging and fueling infrastructure, given the overlap of these vehicles’ travel patterns and of the respective charging and fueling technologies used. The research investigates how this strategy could support robust charging and refueling networks for projected ZEV growth. To that end, the research also developed a “conservative” and an “optimistic” scenario to simulate charging and hydrogen fueling station deployment across California for 2025, 2035, and 2045.

conference paper

Trust based security for cognitive radio networks

Proceedings of the 12th international conference on information integration and web-based applications & services - iiWAS '10

Publication Date

January 1, 2010

Author(s)

Sazia Parvin, Song Han, Farookh Khadeer Hussain, Mohammad Al Faruque
Suggested Citation
Sazia Parvin, Song Han, Farookh Khadeer Hussain and Md. Abdullah Al Faruque (2010) “Trust based security for cognitive radio networks”, in Proceedings of the 12th international conference on information integration and web-based applications & services - iiWAS '10. ACM Press, pp. 743–748. Available at: 10.1145/1967486.1967605.

published journal article

Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration

IEEE Transactions on Intelligent Transportation Systems

Publication Date

September 1, 2023

Author(s)

Zhen Yang, Jun Ying, Junjie Shen, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao, Henry Liu

Abstract

GPS spoofing attacks pose great challenges to connected vehicle (CVs) safety applications and localization of autonomous vehicles (AVs). In this paper, we propose to utilize transportation and vehicle engineering domain knowledge to detect GPS spoofing attacks towards CVs and AVs. A novel detection method using learning from demonstration is developed, which can be implemented in both vehicles and at the transportation infrastructure. A computational-efficient driving model, which can be learned from historical trajectories of the vehicles, is constructed to predict normal driving behaviors. Then a statistical method is developed to measure the dissimilarities between the observed trajectory and the predicted normal trajectory for anomaly detection. We validate the proposed method using two threat models (i.e., attacks targeting the multi-sensor fusion system of AVs and attacks targeting the intersection movement assist application of CVs) on two real-world datasets (i.e., KAIST and Michigan roundabout dataset). Results show that the proposed model is able to detect almost all of the attacks in time with low false positive and false negative rates.

Suggested Citation
Zhen Yang, Jun Ying, Junjie Shen, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao and Henry X. Liu (2023) “Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration”, IEEE Transactions on Intelligent Transportation Systems, 24(9), pp. 9462–9475. Available at: 10.1109/TITS.2023.3269029.

published journal article

The impact of residential density on vehicle usage and energy consumption

Journal of Urban Economics

Publication Date

January 1, 2009
Suggested Citation
David Brownstone and Thomas F. Golob (2009) “The impact of residential density on vehicle usage and energy consumption”, Journal of Urban Economics, 65(1), pp. 91–98. Available at: 10.1016/j.jue.2008.09.002.

published journal article

The Value of “Value Pricing” of Roads: Second-Best Pricing and Product Differentiation

Journal of Urban Economics

Publication Date

March 1, 2001

Author(s)

Suggested Citation
Kenneth A. Small and Jia Yan (2001) “The Value of “Value Pricing” of Roads: Second-Best Pricing and Product Differentiation”, Journal of Urban Economics, 49(2), pp. 310–336. Available at: 10.1006/juec.2000.2195.

published journal article

Carless in California: Green choice or misery?

Journal of Transport Geography

Abstract

Approximately 1 million Californian households do not own a motor vehicle (hereafter a â??carâ??). These households, who are often forgotten in transportation policy discussions, can be organized into two groups based on whether they are voluntarily carless or not. Understanding why some households decide to voluntarily forgo cars could inform policies aiming at reducing dependency on cars. Understanding the plight of households who are not able to own a car is no less important as these households are at greater risk of social exclusion. Unfortunately, the authors’ knowledge of carless households is still sketchy so the purpose of this paper is to start filling this gap. They analyze data from the 2012 California Household Travel Survey using univariate tests and Generalized Structural Equation Models (GSEM) that account for residential self-selection to assess the impacts of various socio-economic and built environment variables on the likelihood to be carless, voluntarily or not. The authors’ results (GSEM Model 1) indicate that carless households are more likely to have less education, a lower income, and a smaller number of members than motorized families. They also tend to live in denser, more land-use diverse, and more walkable areas with better transit coverage. Contrasting voluntarily and involuntarily carless households (GSEM Model 3), the authors find that involuntarily carless households are less affluent on average and they tend to live in areas that are less land-use diverse, less walkable, and with worse transit coverage. Finally, although residential self-selection is present, its impacts are minor.

Suggested Citation
Suman K. Mitra and Jean-Daniel M. Saphores (2017) “Carless in California: Green choice or misery?”, Journal of Transport Geography, 65, pp. 1–12. Available at: 10.1016/j.jtrangeo.2017.09.016.