working paper

Toward a Dynamic Model of Individual Activity Pattern Formulation

Publication Date

July 1, 1981

Working Paper

UCI-ITS-WP-81-4, UCI-ITS-AS-WP-81-2

Abstract

This paper presents preliminary thoughts on the development of a theoretical model of complex travel/activity behavior that incorporates both spatial and temporal constraints. The theoretical model is based on the use of individual activity patterns to represent complex travel/ activity behavior and assumes the form of a stochastic multiobjective dynamic programming model. A multiobjective dynamic programming approach is utilized due to the presence of conflicting objectives and the influence that past activity/travel decisions have on future choices. 

Suggested Citation
Gregory S. Root and Will Recker (1981) Toward a Dynamic Model of Individual Activity Pattern Formulation. Working Paper UCI-ITS-WP-81-4, UCI-ITS-AS-WP-81-2. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7t72q459.

conference paper

Unifiable multi-commodity kinematic wave model

Transportation research procedia

Publication Date

January 1, 2017

Author(s)

Suggested Citation
W.-L. Jin (2017) “Unifiable multi-commodity kinematic wave model”, in Transportation research procedia, pp. 137–156. Available at: 10.1016/j.trpro.2017.05.009.

published journal article

Recent progress on endogeneity in choice modeling

Marketing Letters

Publication Date

December 1, 2005

Author(s)

Jordan Louviere, Kenneth Train, Moshe Ben-Akiva, Chandra Bhat, David Brownstone, Trudy Ann Cameron, Richard T. Carson, J.R. Deshazo, Denzil Fiebig, William Greene, David Hensher, Donald Waldman
Suggested Citation
Jordan Louviere, Kenneth Train, Moshe Ben-Akiva, Chandra Bhat, David Brownstone, Trudy Ann Cameron, Richard T. Carson, J.R. Deshazo, Denzil Fiebig, William Greene, David Hensher and Donald Waldman (2005) “Recent progress on endogeneity in choice modeling”, Marketing Letters, 16(3-4), pp. 255–265. Available at: 10.1007/s11002-005-5890-4.

published journal article

A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management

Transportation Research Part C: Emerging Technologies

Publication Date

October 1, 2002
Suggested Citation
Filippo Logi and Stephen G Ritchie (2002) “A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management”, Transportation Research Part C: Emerging Technologies, 10(5-6), pp. 507–527. Available at: 10.1016/s0968-090x(02)00033-5.

conference paper

Assessment of differential carrier phase measurements from orbcomm LEO satellite signals for opportunistic navigation

Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019)

Publication Date

October 1, 2019
Suggested Citation
Joe Khalife and Zaher M. Kassas (2019) “Assessment of differential carrier phase measurements from orbcomm LEO satellite signals for opportunistic navigation”, in Proceedings of the 32nd international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2019). Institute of Navigation, pp. 4053–4063. Available at: 10.33012/2019.17031.

published journal article

Anonymous vehicle tracking for real-time traffic surveillance and performance on signalized arterials

Transportation Research Record

Publication Date

January 1, 2003
Suggested Citation
Cheol Oh and Stephen G. Ritchie (2003) “Anonymous vehicle tracking for real-time traffic surveillance and performance on signalized arterials”, Transportation Research Record, 1826(1), pp. 37–44. Available at: 10.3141/1826-06.

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..

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.