research report

Zero-Emission Vehicle Transition in California’s Construction Industry

Publication Date

June 1, 2026

Abstract

Although construction equipment generates 2% to 3% of total GHG emissions in California, the construction sector lags behind other industries for decarbonization, primarily due to the systemic challenges of delivering high-capacity electric power to temporary and remote jobsites. This study investigates the primary infrastructure, regulatory, and economic barriers to construction site electrification while exploring technological and policy solutions. Using a multi-faceted approach, the research conducted a literature review, interviewed California Electric Load-Serving Entities, and analyzed emerging mobile charging technologies. Findings indicate that utility support varies by institutional model; municipal utilities often manage requests more efficiently than larger investor-owned utilities, which face complex regulatory hurdles. Key obstacles include local grid capacity limitations, long lead times and high costs for distribution upgrades, and high capital costs for electric machinery. Since the immediate benefits of electrification—the elimination of tailpipe emissions and significant noise reduction—are most impactful in densely populated urban areas, electrification should be prioritized in these areas with quiet zones and low-emission construction zones coupled with subsidies to absorb the cost of bringing electric infrastructure to these sites. Alternative power solutions such as mobile battery energy storage systems (BESSs), hydrogen fuel cell generators, and solar-powered units could help other construction sites. A successful transition requires a coordinated framework involving streamlined permitting, technical guidance for emerging infrastructure, and targeted financial support to lower costs and improve local air quality.

Suggested Citation
Shakib Kafashan and Jean-Daniel Saphores (2026) Zero-Emission Vehicle Transition in California’s Construction Industry. Research Report. UC ITS. Available at: https://doi.org/10.7922/g2vt1qgp.

conference paper

Household Activity Pattern Problem with Automated Vehicle-Enabled Intermodal Trips

Transportation Research Board 103rd Annual Meeting

Publication Date

January 1, 2024
Suggested Citation
Youngyun Bahk, Michael Hyland and Sunghi An (2024) “Household Activity Pattern Problem with Automated Vehicle-Enabled Intermodal Trips”.

published journal article

Coordinated traffic-responsive ramp control via nonlinear state feedback

Transportation Research Part C: Emerging Technologies

Abstract

In this paper, we develop a coordinated traffic responsive ramp control strategy based on feedback control and artificial neural networks. The proposed feedback control law is nonlinear and realized by a series of neural networks. The parameters of the neural networks are obtained through a nonlinear optimization procedure. Traffic simulations show that the proposed nonlinear ramp control strategy compares favorably against the well-known linear quadratic (LQ) control strategy in reducing total travel times, particularly at situations where drastic changes in traffic demand and road capacity occur. (C) 2001 Elsevier Science Ltd. All rights reserved.

Suggested Citation
H.M. Zhang, Stephen G. Ritchie and R. Jayakrishnan (2001) “Coordinated traffic-responsive ramp control via nonlinear state feedback”, Transportation Research Part C: Emerging Technologies, 9(5), pp. 337–352. Available at: 10.1016/s0968-090x(00)00044-9.

conference paper

Exposing congestion attack on emerging connected vehicle based traffic signal control

Proceedings 2018 network and distributed system security symposium

Publication Date

January 1, 2018

Author(s)

Qi Alfred Chen, Yafeng Yin, Yiheng Feng, Z. Morley Mao, Henry Liu

Abstract

Connected vehicle (CV) technology is taking tremendous strides toward increased transportation mobility efficiency by connecting vehicles with transportation infrastructure via wireless communications. However, cybersecurity threats are rising in tandem with the increasing sophistication of CV technology. This study performs a security analysis of the U.S. Department of Transportation CV-based traffic control system. In particular, it analyzes the threat of traffic congestion resulting from CV data spoofing by an attack vehicle. The first step was to identify and evaluate possible data spoofing strategies and their effectiveness. Then the causes of the most effective strategies were investigated. The current signal control algorithm was found to be deeply vulnerable to data spoofing attacks, with traffic congestion increasing by 23.4% compared to traffic without CV-based signal control. Other attacks can cause jamming to such an extent that vehicles are required to take 7 minutes for a trip that should only take a half-minute, a fourteen-fold increase. In order to defend against these cybersecurity threats, three suggestions are given. First, more robust algorithms are needed during the transition period to 95% market penetration, which may take as long as thirty years. Second, performance enhancement in road-side units is needed in order to provide improved traffic control configurations. Third, upgraded data spoofing detection using infrastructure-controlled sensors is recommended.

Suggested Citation
Qi Alfred Chen, Yucheng Yin, Yiheng Feng, Z. Morley Mao and Henry X. Liu (2018) “Exposing congestion attack on emerging connected vehicle based traffic signal control”, in Proceedings 2018 network and distributed system security symposium. Internet Society, p. 15p. Available at: 10.14722/ndss.2018.23222.

published journal article

Why do they live so far from work? Determinants of long-distance commuting in California

Journal of Transport Geography

Publication Date

October 1, 2019

Abstract

The determinants of long-distance commuting (trips longer than 50â?¯miles one-way) in the U.S. appear to be poorly understood even though long-distance commuting likely has substantial environmental, social, and economic impacts. A review of the literature shows that that few papers have considered how housing costs influence long-distance commuting. Moreover, residential self-selection has rarely been accounted for in commuting studies. To start addressing these gaps, the authors analyze the long-distance travel component of the 2012 California Household Travel Survey via a generalized structural equation model. In their model, land use and housing costs are explained by household and head of household characteristics; together with these characteristics, land use and housing costs influence long-distance commuting. The authors find that the probability of a household commuting long-distance decreases with an increase in the job-housing ratio (ORâ?¯=â?¯0.914***) and most importantly, with the median home value of the census tract where a household resides (ORâ?¯=â?¯0.488***). Conversely, this probability increases with the median census tract home values where household members work (ORâ?¯=â?¯1.765***). Finally, the authors’ model results confirm the presence of small residential self-selection effects. These results highlight the importance of providing more affordable housing and mixed development options to reduce long-distance commuting and its associated environmental impacts.

Suggested Citation
Suman K. Mitra and Jean-Daniel M. Saphores (2019) “Why do they live so far from work? Determinants of long-distance commuting in California”, Journal of Transport Geography, 80, p. 102489. Available at: 10.1016/j.jtrangeo.2019.102489.

MS Thesis

Microscopic simulation and emissions study of the electrification of the I-710 freight corridor

Publication Date

January 1, 2014

Author(s)

Abstract

Due to heavy congestion and air pollutants emissions from the increase in container trucks traveling on the I-710, Caltrans and Metro have been looking into viable alternatives for solving these problems. The heavy health burden on residents of the areas surrounding the I-710 has been a cause for concern to these agencies for some time. In this study, I rely on microscopic traffic simulation and on operating modes (OpModes) lookup tables from MOVES to estimate changes in congestion and in emissions of various air pollutants (including nitrogen oxides (NOx) and particulate matter (PM)) resulting from the creation of electrified truck lanes on I-710. This alternative was tested for four scenarios corresponding to different percentage of electrified heavy-duty trucks in the I-710 corridor. My results show that creating electrified lanes would slightly reduce congestion in terms of average overall network speed. I also found a substantial reduction in the emissions of several air pollutants by port-related heavy duty trucks, which ranged from 44% to 94% in the scenarios considered. Overall, the reduction in emission possible by the electrification of the freight corridor is a significant improvement but as proposed, the electrification of the I-710 would also create additional traffic problems. This suggests that planning models (such as TransCad) are not sufficient to properly evaluate preliminary designs of freeway changes.

Suggested Citation
Sarah Tasnim (2014) Microscopic simulation and emissions study of the electrification of the I-710 freight corridor. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991015107149704701.

research report

Development of a path flow estimator for inferring steady-state and time-dependent origin-destination trip matrices

Publication Date

June 1, 2008

Author(s)

Michael Zhang, Yu Nie, Wei Shen, Ming-Sheng Lee, Sarawut Jansuwan, Piya Chootinan, Surachet Pravinvongvuth, Anthony Chen, Will Recker

Abstract

This report describes how a previously proposed logit path flow estimator (LPFE) has been further developed in order to improve the reliability and efficiency of origin-destination (O-D) trip table estimates. The report describes how both steady-state and time-dependent LPFE are implemented in an object-oriented programming (OOP) framework. The performance of the LPFE is tested using synthetic data and the accuracy and reliability of its O-D trip table estimates are quantified. The report also describes the development of Visual PFE and Visual PFE-TD, which are the graphic user interfaces (GUI) for both static and time-dependent LPFE.

Suggested Citation
Michael Zhang, Yu Nie, Wei Shen, Ming S. Lee, Sarawut Jansuwan, Piya Chootinan, Surachet Pravinvongvuth, Anthony Chen and Wilfred W. Recker (2008) Development of a path flow estimator for inferring steady-state and time-dependent origin-destination trip matrices. University of California, Berkeley / California Partners for Advanced Transit and Highways, p. 119p.

published journal article

An empirical investigation on the dynamic processes of activity scheduling and trip chaining

Transportation

Publication Date

September 1, 2006
Suggested Citation
Ming Lee and Michael G. McNally (2006) “An empirical investigation on the dynamic processes of activity scheduling and trip chaining”, Transportation, 33(6), pp. 553–565. Available at: 10.1007/s11116-006-7728-1.

conference paper

Modeling and Managing Dynamics of Urban Power-Mobility Joint Systems

102nd Transportation Research Board Annual Meeting 2023

Publication Date

January 1, 2023

Author(s)

Suggested Citation
Jiangbo (Gabe) Yu, Zhuowei Wang and Anthony Chen (2023) “Modeling and Managing Dynamics of Urban Power-Mobility Joint Systems”.

conference paper

Integration of weigh-in-motion and inductive signature technology for advanced truck monitoring

93rd annual meeting of the transportation research board, washington, DC

Publication Date

January 1, 2014
Suggested Citation
Sarah Hernandez, Andre Tok and Stephen G Ritchie (2014) “Integration of weigh-in-motion and inductive signature technology for advanced truck monitoring”, in 93rd annual meeting of the transportation research board, washington, DC.