published journal article
Archives: Research Products
policy brief
Analysis of Comprehensive Multi-modal Shared Travel Systems with Transit, Rideshare, Carshare and Bikeshare Options
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Areas of Expertise
Abstract
A primary goal of the study is to develop insights on efficiencies to be gained through the use of various shared mode travels. Further goals are to develop a mobile application that can providetrip plans across multiple modes that include several options such as shared cars, rides, bikes, and bus/rail transit, and to understand user response through limited field surveys.
Suggested Citation
R. Jayakrishnan (2018) Analysis of Comprehensive Multi-modal Shared Travel Systems with Transit, Rideshare, Carshare and Bikeshare Options. Policy Brief. ITS-Irvine. Available at: https://dot.ca.gov/-/media/dot-media/programs/research-innovation-system-information/documents/research-results/task3135-rrs-5-19-a11y.pdf.conference paper
Automated Discovery of {Denial-of-Service} Vulnerabilities in Connected Vehicle Protocols
30th USENIX Security Symposium (USENIX Security 21)
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Author(s)
Suggested Citation
Shengtuo Hu, Qi Alfred Chen, Jiachen Sun, Yiheng Feng, Z. Morley Mao and Henry X. Liu (2021) “Automated Discovery of {Denial-of-Service} Vulnerabilities in Connected Vehicle Protocols”, in 30th USENIX Security Symposium (USENIX Security 21), pp. 3219–3236. Available at: https://www.usenix.org/conference/usenixsecurity21/presentation/hu-shengtuo (Accessed: October 11, 2023).published journal article
Adapting urban water systems to a changing climate: Lessons from the millennium drought in southeast Australia
Environmental Science & Technology
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Author(s)
Suggested Citation
Stanley B. Grant, Tim D. Fletcher, David Feldman, Jean-Daniel Saphores, Perran L.M. Cook, Mike Stewardson, Kathleen Low, Kristal Burry and Andrew J. Hamilton (2013) “Adapting urban water systems to a changing climate: Lessons from the millennium drought in southeast Australia”, Environmental Science & Technology, 47(19), pp. 10727–10734. Available at: 10.1021/es400618z.published journal article
Managing disruptive technologies: Exploring the patterns of local drone policy adoption in California
Cities
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Author(s)
Abstract
Cities worldwide are facing new challenges and opportunities with the proliferation of Unmanned Aerial Vehicles (UAVs), or drones. However, despite the increasing importance of managing drone activities at the local level, little is known about the extent to which cities adopt regulatory measures to deal with the challenges posed by this emerging technology and the factors that determine the local policy adopted. This study examines the dynamics of local drone policy adoption, focusing on California, which has the largest population of drones currently registered in the United States. A review of 482 California cities’ municipal codes shows evolving patterns of policy adoption over the last two decades, with a rapid expansion since 2015. Multivariate survival analysis indicates that policy adoption at the local level is shaped by both municipal capacity and motivation factors, including the actions of neighboring cities. The analysis also finds evidence of disparities associated with socio-demographics, calling for more attention to the variation in local policy responsiveness to technology-driven challenges and ways to support local efforts and their collaboration.
Suggested Citation
Xiangyu Li and Jae Hong Kim (2022) “Managing disruptive technologies: Exploring the patterns of local drone policy adoption in California”, Cities, 126, p. 103736. Available at: 10.1016/j.cities.2022.103736.working paper
Transport Tax Reform, Commuting and Endogenous Values of Time
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Abstract
Many previous studies of transport tax reform have explicitly or implicitly assumed that the reform itself does not affect the marginal value of time. In this paper we consider a simple model with multiple trip purposes, commuting and non-commuting transport, to analyse the implications of transport tax reform for the value of time and for marginal external congestion costs. The theoretical analysis shows that transport taxes may both increase or reduce the value of time and it identifies the conditions under which either outcome will occur. The results further suggest that if a tax reform in the transport sector is accompanied by labour tax adjustments to reduce the distortionary cost of the tax system, the marginal value of time will typically increase. The implications of endogenous values of time for models of optimal externality taxes and studies of tax reform in the transport sector are empirically illustrated using a numerical model, calibrated using Belgian data. It is found that the impact of tax changes on the value of time is non-trivial. Moreover, many of the tax reform exercises considered simultaneously reduce traffic levels but raise marginal external congestion costs. The results of this paper suggest that incorrectly assuming exogenous time values may strongly bias optimal congestion taxes and lead to misleading welfare effects of transport tax reform.
Suggested Citation
Bruno De Borger and Kurt Van Dender (2002) Transport Tax Reform, Commuting and Endogenous Values of Time. Working Paper UCI-ITS-WP-02-2. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/6cx8732f.conference paper
Shipper collaboration models for asset repositioning and utilization
Proceedings of the 86th annual meeting of the transportation research board
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Author(s)
Abstract
In this era of heightened competition many firms have turned to supply chain partners to collaborate to alleviate their operational inefficiencies and cut costs. Supply chain relationships are transforming to collaborative ventures, sometimes even with their competitors. In this paper we study the issues facing an electronic intermediary or a third party logistics company for achieving collaboration for transportation demands from a group of small to medium sized shippers in an Internet marketplace. We develop a methodology for studying the shipper collaboration problems and provide formulations for partly loaded and truckload shipments. The underlying cost allocation issues facing the collaborations are examined from a cooperative game theory perspective. We point out that finding stable cost allocation mechanisms are NP-Hard and develop simple heuristic cost allocation mechanisms.
Suggested Citation
Srinivas Nandiraju and Amelia C. Regan (2007) “Shipper collaboration models for asset repositioning and utilization”, in Proceedings of the 86th annual meeting of the transportation research board, p. 19p.research report
Determining optimal sensor locations under uncertainty for advanced truck surveillance on California freeways
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Author(s)
Suggested Citation
Jaeyoung Jung, Andre Tok and Stephen G Ritchie (2018) Determining optimal sensor locations under uncertainty for advanced truck surveillance on California freeways.conference paper
Spatial disaggregation of California freight demand for regional planning models
ARRB conference, 27th, 2016, melbourne, victoria, australia
Publication Date
Author(s)
Suggested Citation
PV Camargo, AY Tok and SG Ritchie (2016) “Spatial disaggregation of California freight demand for regional planning models”, in ARRB conference, 27th, 2016, melbourne, victoria, australia.published journal article