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..

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.

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.

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.

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

Evaluating the impacts of start-up and clearance behaviors in a signalized network: A network fundamental diagram approach

Proceedings of the 98th annual meeting of the transportation research board

Publication Date

January 1, 2019

Abstract

Numerical simulations have shown that the network fundamental diagram (NFD) of a signalized network is significantly affected by the green ratio, and an analytical approximation of the NFD has been derived from the link transmission model.However, the consistency between these approaches has not been established, and the impacts of other factors are still unrevealed. In this paper, the authors evaluate the impacts of start-up and clearance behaviors in a signalized network from a network fundamental diagram approach. Microscopic simulations based on Newellâ??s car-following model are used for testing the bounded acceleration (start-up) and aggressiveness (clearance) effects on the shape of the NFD in a signalized ring road.This new approach is shown to be consistent with theoretical results from the link transmission model, when the acceleration is unbounded and vehicles have the most aggressive clearance behaviors. This consistency validates both approaches; but the link transmission model cannot be easily extended to incorporate more realistic start-up or clearance behaviors. With the new approach, the authors demonstrate that both bounded acceleration and different aggressiveness lead to distinct network capacities and fundamental diagrams. In particular, they lead to start-up and clearance lost times of several seconds; and these lost times are additive. Therefore, the important role that these behaviors play in the NFD shape is studied to reach a better understanding of how the NFD responds to changes. This will help the authors to design better start-up and clearance behaviors for connected and autonomous vehicles

Suggested Citation
Adria Morales Fresquet and Wenlong Jin (2019) “Evaluating the impacts of start-up and clearance behaviors in a signalized network: A network fundamental diagram approach”, in Proceedings of the 98th annual meeting of the transportation research board, p. 20p.

research report

Energy commission models for analyzing and projecting household transportation energy demand: Evaluation, model improvement options, and recommendations

Publication Date

January 1, 2016

Author(s)

David Bunch, David Brownstone
Suggested Citation
David S. Bunch and David Brownstone (2016) Energy commission models for analyzing and projecting household transportation energy demand: Evaluation, model improvement options, and recommendations. University of California, Davis and University of California, Irvine.

working paper

Joint Modelling of Attitudes and Behaviour in Project Evaluation: Case Study of Single-Occupant Vehicle Toll Use of Carpool Lanes in San Diego, California

Publication Date

August 1, 1998

Author(s)

Thomas Golob, Janusz Supernak

Working Paper

UCI-ITS-WP-98-6

Abstract

Knowing what people think about the usefulness, fairness, and success of new transport initiatives is vital information for planners and project evaluators. Methods for studying the complex relationships between attitudes and choice behaviour need to be included in evaluation processes. The attitudes of an individual faced with a new transport option will depend in part on whether the individual can take advantage of the new option, whether he or she actually chooses to take advantage, and the perceived benefits of the option, to the individual and to the community. Transport planners use choice models to understand factors affecting demand, but modelling of attitudes has not received similar attention. In this paper we demonstrate how a joint model of attitudes and behaviour can be used in comprehensive project evaluation. The approach involves analysing attitude survey data using a structural equations model designed for use with discrete choice and ordinal-scale variables. Our application involves the evaluation of responses to a project that allows solo drivers to pay a fee to use a carpool, or high-occupancy vehicle (HOV) lane facility on the Interstate 15 (1-15) Freeway in San Diego. The attitude survey is of subscribers to the program and a random sample of other freeway users. Four endogenous variables are explained as functions of each other and of exogenous variables such as income, household composition, age and gender. These endogenous variables are: (1) choice of subscription to the program, (2) mode choice of carpooling versus solo driving, (3) perception of the seriousness of the traffic congestion on the route, and (4) attitude towards allowing solo drivers to pay to save time by using the carpool lanes.

Suggested Citation
Thomas F. Golob and Janusz Supernak (1998) Joint Modelling of Attitudes and Behaviour in Project Evaluation: Case Study of Single-Occupant Vehicle Toll Use of Carpool Lanes in San Diego, California. Working Paper UCI-ITS-WP-98-6. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/93q5q8jn.

working paper

The Determinants of Growth of Employment Subcenters

Publication Date

January 1, 1999

Associated Project

Abstract

This paper presents an empirical analysis of subcenter growth. We develop a series of hypotheses based on the theoretical concepts that have been proposed as explanations for the emergence and growth of subcenters. We then conduct tests of these hypotheses using 1970-80 data from the Los Angeles region. We find that subcenters containing fast-growing industries tended to grow rapidly, and so did those close to airports. There is weak evidence that large subcenters and those located near downtown Los Angeles grew more slowly in proportional terms, possibly indicating diseconomies of scale due to congestion.

published journal article

Workings of the melting pot: Social networks and the evolution of population attributes

JOURNAL OF REGIONAL SCIENCE

Publication Date

January 1, 2007

Author(s)

Jan Brueckner, Oleg Smirnov

Abstract

This paper links the two nascent economic literatures on social networks and cultural assimilation by investigating the evolution of population attributes in a simple model where agents are influenced by their acquaintances. The main conclusion of the analysis is that attributes converge to a melting-pot equilibrium, where everyone is identical, provided the social network exhibits a sufficient degree of interconnectedness. When the model is extended to allow an expanding acquaintance set, convergence is guaranteed provided a weaker interconnectedness condition is satisfied, and convergence is rapid. If the intensity of interactions with acquaintances becomes endogenous, convergence (when it occurs) is slowed when agents prefer to interact with people like themselves and hastened when interaction with dissimilar agents is preferred.

Suggested Citation
Jan K. Brueckner and Oleg Smirnov (2007) “Workings of the melting pot: Social networks and the evolution of population attributes”, JOURNAL OF REGIONAL SCIENCE, 47(2), pp. 209–228. Available at: 10.1111/j.1467-9787.2007.00506.x.