http://www.rssboard.org/rss-specification 720 https://escholarship.org/uc/its_ucconnect/rss Recent eScholarship items from UCCONNECT Mon, 29 Jun 2026 18:57:16 +0000 https://escholarship.org/uc/item/8nj034g7 The effective management of traffic incidents and other irregular disruptions on roadways is key to minimizing travel delay and improving the quality of life for urban residents and businesses. We are currently using economic experiments involving human subjects and a networked, realistic driving simulation to study driver behavior in response to information displayed by variable message systems and to dynamic road pricing schemes. Based on our existing results, we propose four new extensions to our study: the addition of more realistic driving mechanics to test driver responses to our treatments under increased cognitive load, the recruitment of subjects outside the UCI student body to confirm the validity of our results with different demographic groups, the implementation of treatments to study the impact of private information messaging systems (e.g. Waze, Google Maps, etc.), and the implementation of treatments to study a novel value-of-time based auction system for toll... https://escholarship.org/uc/item/8nj034g7 Fri, 16 Aug 2024 00:00:00 +0000 Brownstone, David McBride, Michael Kong, Si-Yuan Mahmassani, Amine https://escholarship.org/uc/item/9ww9x1h2 We address the problem of shockwave formation in uncoordinated highway traffic. The problem is caused by the combination of heavy traffic and small traffic perturbations or unexpected drivers actions. We propose a novel distributed communication protocol that helps mitigate upstream shockwave formation even with extremely low system penetration rates. Based on traffic information ahead, the Cooperative Advanced Driver Assistance System (CADAS) recommends non-intuitive velocity reductions in order to redistribute traffic more uniformly and eliminate traffic peaks. Simulation results show that CADAS significantly increases the average velocity and therewith reduces the overall travel time and avoids unnecessary slowdowns. As a next step, for realism, we propose to apply CADAS to real traffic traces. Also, we extend the shockwave model from single to multiple lanes (to reduce accidents caused by lane switching). https://escholarship.org/uc/item/9ww9x1h2 Mon, 18 Mar 2024 00:00:00 +0000 Vince Rabsatt, Reuben Gerla, Mario https://escholarship.org/uc/item/7380q3ps On April 28, 2016, UCCONNECT hosted a symposium in Berkeley, CA on Achieving Zero-Emission Mobility: The Role of Innovative Electric Vehicle Companies. The symposium provided a platform for innovative and trendsetting electric vehicle (EV) companies to explain their latest business models and show how they can add value and contribute to the national dialogue on the transformation needed to achieve zero-emission transportation. Focus was also placed on identifying strategies that could potentially broaden the clean-transportation conversion by increasing “zero-emission vehicle” (ZEV) access to all income groups. In recent years, the U.S. Departments of Transportation (DOT) and Energy (DOE), as well as various state agencies, have been prioritizing the development and adoption of ZEVs. This has largely been framed in the broader, national and international effort to bring Greenhouse Gas (GHG) emissions under control, as pledged by President Obama at the 2015 United Nations Framework... https://escholarship.org/uc/item/7380q3ps Mon, 18 Mar 2024 00:00:00 +0000 Argote, Juan Lee, Albert Hernandez, Maribel https://escholarship.org/uc/item/8tv1r6s4 The University of California Center on Economic Competitiveness in Transportation (UCCONNECT) together with the California Department of Transportation (Caltrans) organized four seminars in areas of interest to the Division of Transportation Planning (DOTP). UCCONNECT and DOTP collaborated to identify topics and speakers within the consortium who could present their latest research findings on the selected areas. Each session in the series consisted of a 1-2 hour presentation followed by a Q&A discussion moderated by an expert in the field. The title of the first event in the series was Bike and Pedestrian Issues in Transportation Planning. The event took place on September 28, 2015. Dr. Offer Grembek and Professor Anastasia Sideris were the speakers and Professor Susan Shaheen moderated the event. A video of the event can be found on this YouTube link. The second event in the series was titled The Challenge of the Suburban Office Landscape: Understanding the Past to Re-envision... https://escholarship.org/uc/item/8tv1r6s4 Fri, 15 Mar 2024 00:00:00 +0000 Argote-Cabanero, Juan Camel, Madonna Hernandez, Maribel https://escholarship.org/uc/item/6kx670mv This report documents the second year of a project using economics experimental techniques to investigate novel approaches for mitigating congestion caused by non-recurring traffic incidents. The first year demonstrated the feasibility of this approach and carried out a number of experiments using University of California, Irvine (UCI) undergraduates as experimental subjects. The experimental platform is described in Section 3 of this report. Most of the experiments conducted during the first year examined different variable message sign (VMS) wording, and later experiments examined standard road pricing schemes. It was discovered that providing any incident-related information via VMS improves system performance relative to the no-information baseline, but also found that more complicated dynamic messaging with feedback did not always improve system performance relative to standard VMS messaging. The first year results were documented in the final report for the first year... https://escholarship.org/uc/item/6kx670mv Thu, 14 Mar 2024 00:00:00 +0000 Brownstone, David McBride, Michael Kong, Si-Yuan Mahmassani, Amine https://escholarship.org/uc/item/63z3t6k0 This papers presents the design of the travel mode detection component within a generic architecture of processing individual mobility data. It approaches mode detection in two steps, each aiming at a particular objective. The first step develops a discriminative classifier that detects the mode of the observed trips or a sequence of modes in a multiple leg journey. It requires a considerable amount of ground truth data with known modes to be available for training. It also relies on a k-shortest path algorithm that generates plausible alternatives routes for the journey. The second step utilizes the discriminative recognition step of the observed mode in order to build a behaviorally grounded model that predicts the chosen mode within a set of available alternatives as a function of user characteristics and transportation system variables. It is based on the discrete choice modelling paradigm and results in a set of parameters calibrated for distinct neighborhoods and/or segments... https://escholarship.org/uc/item/63z3t6k0 Thu, 14 Mar 2024 00:00:00 +0000 Pozdnoukhov, Alexei Sheehan, Madeleine Yin, Mogeng https://escholarship.org/uc/item/5ng0f1f6 As central cities in California continue their renaissance, commercial gentrification is often identified by residents as a concern. For many, commercial gentrification means the intrusion of new businesses that force out a favorite food shop or a longstanding retail store because of higher rents. For others, it means an influx of hip cafés, trendy retail boutiques, and gourmet fast food restaurants - places that change the fabric of their familiar neighborhood, for better or for worse. For many merchants, commercial gentrification can have implications for economic survival, as increased rents may lead to displacement and business closures. This report was born out of these concerns, which we uncovered when interviewing community stakeholders as part of our earlier research on residential gentrification in Los Angeles and the Bay Area (See Chapple, Loukaitou-Sideris, Waddell, Chatman, & Ong, 2017). Over the course of this past work, interviews with community members and planners... https://escholarship.org/uc/item/5ng0f1f6 Wed, 13 Mar 2024 00:00:00 +0000 Chapple, Karen Loukaitou-Sideris, Anastasia Gonzalez, Silvia R. Kadin, Dov Poirer, Joseph https://escholarship.org/uc/item/5js550jt This report describes operational data analysis and modeling of arterial networks with signalized intersections as follows: The setup for data collection, analysis and simulation is presented in Section 2.1. Detailed analysis of collected signal phasing and traffic data is provided in section 2.2. Arterial traffic and platoon modeling is described in Section 2.3. Simulation results of the Rollins Park network is discussed in Section 2.4. Research conducted under this task is an important stepping stone for building a three-level information and control system for urban networks with high-density traffic. In this task researchers focused on elements of link-level information (signal phasing and timing (SPaT) estimation and prediction) and vehicle-level control (Adaptive Cruise Control (ACC) and Cooperative Adaptive Cruise Control (CACC)). In SPaT analysis researchers presented several novel algorithms to estimate the residual duration of a signal phase for a semi-actuated intersection.... https://escholarship.org/uc/item/5js550jt Wed, 13 Mar 2024 00:00:00 +0000 Kalathil, Dileep Kurzhanskiy, Alex A. Varaiya, Pravin https://escholarship.org/uc/item/533712f7 Highway pavement rehabilitation (HPR) is a service provided by departments of transportation (DOTs) worldwide. The process of delivering HPR projects involves not only a transportation department but also many other project participants and stakeholders; furthermore, it is subject to numerous technical- as well as socio-political considerations. Interestingly—though not surprisingly—the processes DOTs use to deliver this service vary widely, not only between countries or between states in the US, but also regionally within a given state such as California. While some variation is to be expected, it is not necessarily of value to some or all concerned. Management practices such as Lean and Six Sigma can be key to driving out unwanted variation and thereby lead to performance improvements locally and overall. Addressing “Goal 5 Operational Excellence” in Caltrans’ (2015a) Strategic Management Plan, this research set out to view HPR projects through the lenses of Lean and Six Sigma,... https://escholarship.org/uc/item/533712f7 Mon, 11 Mar 2024 00:00:00 +0000 Tommelein, Iris D. Blampied, Nigel https://escholarship.org/uc/item/4b745951 Peer-to-peer (P2P) ridesharing is a relatively new concept that aims at providing a sustainable method for transportation in urban areas. This research is on the second phase of a sequence of projects that follows the previously funded UCConnect project titled “Promoting Peer-toPeer Ridesharing Services as Transit System Feeders”. In this phase, the study constructs a multimodal network, which includes P2P ridesharing, transit and city bike-sharing. The research develops schemes to provide travel alternatives, routes and information across multiple modes in the network. In addition, we develop a mobile application that demonstrates the research in the context of Los Angeles, CA, by using a combination of subway transit lines, proposed P2P ridesharing, and bikesharing to provide multi-modal itineraries to users. The Los Angeles Metro’s Red and Gold line subway rail and the downtown bike-share system are included in the network for a case study. The study includes a simulation of... https://escholarship.org/uc/item/4b745951 Mon, 11 Mar 2024 00:00:00 +0000 Jayakrishnan, Jay McNally, Michael G. Gabriel Yu, Jiangbo Nam, Daisik Yang, Dingtong An, Sunghi https://escholarship.org/uc/item/3cc876x2 In 2013, The California Department of Transportation-District 11 (Caltrans) launched the California Integrated Border Approach Strategy (CA-IBAS) in response to a need for a better-integrated border transportation system that reduces impacts on border communities. Work was conducted in two phases to identify ways to better address regional mobility needs and the traveler experience in California’s communities along the California-Mexico border. During Phase 1, led by METRANS, the team conducted a preliminary assessment of key institutional and policy issues at CaliforniaMexico land POEs, including an overview of relevant agencies and stakeholders as well as analysis of institutional structures that might be used to improve service delivery, funding, and financing options for multi-agency projects. Building on Phase 1, Phase 2 of the CA-IBAS study was led by UC Berkeley and in collaboration with UCLA, University of Washington and California State University, Long Beach, and the... https://escholarship.org/uc/item/3cc876x2 Fri, 8 Mar 2024 00:00:00 +0000 Trapenberg Frick, Karen Deakin, Elizabeth Whittington, Jan Anderson, Karl Leshner, Eleanor Garrett, Mark https://escholarship.org/uc/item/39q2758w This report examines equity among local option sales tax (LOST) measures for transportation in California between 1976 and 2016. Since the first was enacted in 1976 in Santa Clara County (Silicon Valley), 76 LOST measures have appeared on county ballots, 48 of which (63%) were approved by voters. These measures have proven to be popular methods to finance transportation system construction, operations, and maintenance over the past four decades, increasing in number even after a 1995 ruling in Santa Clara County Local Transportation Authority v. Guardino required that LOSTs secure two-thirds support to pass. LOSTs are currently in place in 24 of California’s 58 counties that are home to 88 percent of the state’s population. Sales tax revenues dedicated to transportation today produce over $4 billion per year for transportation construction and maintenance in these “self-help counties.” Sixteen counties have enacted more than one sales tax measure: Alameda, Los Angeles, and Santa... https://escholarship.org/uc/item/39q2758w Fri, 8 Mar 2024 00:00:00 +0000 Albrecht, Maxwell Brown, Anne Lederman, Jaimee Taylor, Brian D. Wachs, Martin https://escholarship.org/uc/item/2c08h4r3 The Transportation Sustainability Research Center at UC Berkeley conducted a series of tasks to assist the California Department of Transportation (Caltrans) with an understanding of prosperity, accessibility, and livability metrics. Research findings were collected through a combination of literature reviews and expert interviews. Researchers found that prosperity, accessibility, and livability metrics all involve a component of cooperation with partner jurisdictions. A flexible approach that accounts for local and corridor considerations and evolves over time is emphasized. The white paper highlights the importance of equity considerations, data availability, and the scale of measurement. Prosperity emphasizes long-term or short-term strategies to improve quality of life, focusing on economic indicators, such as income, business, and property values. Prosperity metrics can be used to prioritize transportation projects based on social, environmental, or equity concerns. Accessibility... https://escholarship.org/uc/item/2c08h4r3 Thu, 22 Dec 2022 00:00:00 +0000 Shaheen, Susan Finson, Rachel Bhattacharyya, Abhinav Jaffee, Mark https://escholarship.org/uc/item/0bs645m2 This project developed a quantile regression method for predicting future traffic flow at a signalized intersection by combining both historical and real-time data. The algorithm exploits nonlinear correlations in historical measurements and efficiently solves a quantile loss optimization problem using the Alternating Direction Method of Multipliers (ADMM). The resulting parameter vectors allow determining a probability distribution of upcoming traffic flow. These predictions establish an efficient, delay-minimizing control policy for the intersection. The approach is demonstrated on a case study with two years of high resolution flow measurements. It is emphasized that the results are applicable to any traffic intersection equipped with sensors that provide sufficiently high resolution of data acquisition. In particular, the data must have sufficient spatial resolution, e.g., measuring turning counts, and sufficient temporal resolution, e.g., measurements each 15 minutes. For... https://escholarship.org/uc/item/0bs645m2 Wed, 30 Nov 2022 00:00:00 +0000 Coogan, Samuel Dutreix, Maxence https://escholarship.org/uc/item/04d1z3z3 The objective of this report is to first review what we know from the literature about long distance travelers, analyze the contents of the long distance travel log of the California Household Travel Survey (CHTS), demonstrate the augmentation of the trip/tour records with destination attractiveness indicators, derive prototypical traveler profiles, and provide amore detailed analysis of long distance tours. The data are from a simplified travel log that asked respondents from households to report all the trips 50 miles or longer they made in the 8-weeks preceding the day they were assigned a full travel diary. The survey instrument used for this reporting is shown in Figure 1. In this report we identify a few issues with the data collected using this travel log, and these issues motivate us to also investigate the long distance travel reported in the daily diary. The range of variables that we can analyze depends heavily on the accuracy with which respondents reported their trips,... https://escholarship.org/uc/item/04d1z3z3 Wed, 30 Nov 2022 00:00:00 +0000 Goulias, Konstadinos Davis, Adam W. McBride, Elizabeth C. Janowicz, Krzysztof Zhou, Rui https://escholarship.org/uc/item/1dk6b1dg Integrated management of travel corridors comprising of freeways and adjacent arterial streets can potentially improve the performance of the highway facilities. However, several research gaps exist in data collection and performance measurement, analysis tools and control strategies. In this project first we analyzed high resolution data consisting of time-stamped records of every event involving vehicles, together with the signal phase at real-world signalized intersections and developed procedures for estimating performance measures. Next, we assessed the performance of a new microscopic simulator for signalized arterials. The model predictions were in close agreement with the predictions from widely used models in practice. We also developed and applied control strategies for freeway-arterial coordinated control to avoid queue override and developed a methodology to provide estimates of the amount and impacts of freeway diverted traffic in case of no-recurrent (incident related)... https://escholarship.org/uc/item/1dk6b1dg Mon, 9 Dec 2019 00:00:00 +0000 Amiri, Zahra Lo, Yu-Chieh Skabardonis, Alexander Varaiya, Pravin https://escholarship.org/uc/item/0cx0d1b8 In recent years, technological and social forces have pushed smartphone applications (apps) from the fringe to the mainstream. Understanding the role of transportation apps in urban mobility is important for policy development and transportation planners. This study evaluates the role and impact of multimodal aggregators from a variety of perspectives, including a literature review; a review of the most innovative, disruptive, and highest-rated transportation apps; interviews with experts in the industry, and a user survey of former multimodal aggregator RideScout users. Between February and April 2016, researchers conducted interviews with experts to gain a stronger understanding about challenges and benefits of data sharing between private companies and public agencies. Key findings from the expert interviews include the critical need to protect user privacy; the potential to use data sharing to address integrated corridor and congestion management as well as various pricing... https://escholarship.org/uc/item/0cx0d1b8 Mon, 9 Dec 2019 00:00:00 +0000 Shaheen, Susan Martin, Elliot Cohen, Adam Musunuri, Apoorva Bhattacharyya, Abhinav https://escholarship.org/uc/item/9qf2481r The San Francisco Bay Area regularly experiences some of the most severe traffic congestion in the U.S. This past year both Inrix and the Texas Transportation Institute (TTI) ranked the Bay Area third only to Washington D.C. and Los Angeles in the time drivers spend stuck in traffic. The TTI estimated that traffic congestion cost the Bay Area economy a staggering $3.1 billion in 2014 (Lomax et al., 2015). Such estimates are based on the premise that moving more slowly than free-flow speeds wastes time and fuel, and that these time and fuel costs multiplied over millions of travelers in large urban areas add up to billions of dollars in congestion costs. But while few among us like driving in heavy traffic, do such measures really capture how congestion and the conditions that give rise to it affect regional economies? This study explores this question for the San Francisco Bay Area by examining how traffic congestion is (i) related to a broader and more conceptually powerful concept... https://escholarship.org/uc/item/9qf2481r Fri, 11 Oct 2019 00:00:00 +0000 Taylor, Brian Osman, Taner Thomas, Trevor Mondschein, Andrew https://escholarship.org/uc/item/7fq6g5td Traffic performance metrics such as delay and Level Of Service (LOS), which are well documented in the Highway Capacity Manual (HCM), have been widely used by most of the transportation consulting companies, public agencies, and etc. For arterial delay analysis, prevailing commercial tools like Synchro have adopted the method proposed by the HCM, which is rooted in the Webster’s delay calculation proposed more than 50 years ago. The LOS is obtained using a lookup table that assigns a certain grade (from A to F) to the estimated delay according to its value. Without knowing detailed vehicles trajectory profiles, this kind of delay calculation method relies on macroscopic queueing theory and assumes certain types of arrival patterns. As mentioned in the State Bill 743 (SB743) and the memo entitled Preliminary Evaluation of Alternative Methods of Transportation Analysis issued by Governor Brown’s Office of Planning and Research on December 30, 2013, current calculation of LOS is... https://escholarship.org/uc/item/7fq6g5td Fri, 11 Oct 2019 00:00:00 +0000 Bayen, Alexandre Gan, Qijian Gomes, Gabriel https://escholarship.org/uc/item/6rp6n4sf Electric vehicles (EV) are promoted as a foreseeable future vehicle technology to reduce dependence on fossil fuels and greenhouse gas emissions associated with conventional vehicles. This paper proposes a data-driven approach to improving the electrification rate of the vehicle miles traveled (VMT) by taxi fleet in Beijing. Specifically, based on the gathered real-time vehicle trajectory data of 46,765 taxis in Beijing, we conduct timeseries simulations to derive insight for the public charging station deployment plan, including the locations of public charging stations, the number of chargers at each station and their types. The proposed simulation model defines the electric vehicle charging opportunity from the aspects of time window, charging demand and charger availability, and further incorporates the heterogeneous travel patterns of individual vehicles. Although this study only examines one type of fleet in a specific city, the methodological framework is readily applicable... https://escholarship.org/uc/item/6rp6n4sf Fri, 11 Oct 2019 00:00:00 +0000 Shen, Max Li, Meng He, Fang Jia, Yinghao https://escholarship.org/uc/item/4hc9r218 This project develops machine learning algorithms and methods for processing of cell phone location logs to generate travel behavior data. The project initially focuses on bias correction and activity inference for generating activity-based travel demand models. Inferred activity chains are used to calibrate an agent-based traffic micro-simulation for the SF Bay Area, and validated on loop detector counts. https://escholarship.org/uc/item/4hc9r218 Fri, 11 Oct 2019 00:00:00 +0000 Pozdnukhov, Alexey https://escholarship.org/uc/item/39f0v6kq Amid growing recognition of the costs of downtown congestion and scarcity of revenues for new roads, congestion pricing for downtown areas -- a practice we call “zone pricing” -- has begun to receive wide attention. From 1975-2003, zone pricing failed to spread beyond Singapore, but by the 2000’s technological advances had made the practice more widely practical. Now London, Stockholm, Milan and Gothenburg have schemes of their own, and zone pricing is on the agenda in many world cities. The research summarized in this report has sought to advance practical knowledge of zone pricing in several ways. First, we have created a very detailed, scholarly history of zone pricing, covering the circumstances under which cities have implemented zone pricing, what technologies have been used and what results these cities have obtained. Second, we investigated the theory of “usage tolls.” A drawback of all tradition zone pricing systems is that, for practical reasons, they fail to charge... https://escholarship.org/uc/item/39f0v6kq Fri, 11 Oct 2019 00:00:00 +0000 Daganzo, Carlos F Lehe, Lewis https://escholarship.org/uc/item/2rr92202 Electric vehicles (EV) are promoted as a foreseeable future vehicle technology to reduce dependence on fossil fuels and greenhouse gas emissions associated with conventional vehicles. This paper proposes a data-driven approach to improving the electrification rate of the vehicle miles traveled (VMT) by a taxi fleet in Beijing. Specifically, based on the gathered real-time vehicle trajectory data of 46,765 taxis in Beijing, we conduct time-series simulations to derive insight for the public charging station deployment plan, including the locations of public charging stations, the number of chargers at each station, and their types. The proposed simulation model defines the electric vehicle charging opportunity from the aspects of charge time window, charging demand and charger availability, and further incorporates the heterogeneous travel patterns of individual vehicles. Although this study only examines one type of fleet in a specific city, the methodological framework is readily... https://escholarship.org/uc/item/2rr92202 Fri, 11 Oct 2019 00:00:00 +0000 Shen, Max Li, Meng He, Fang Jia, Yinghao https://escholarship.org/uc/item/25x1b693 Public transit systems with efficient designs and operating plans can reduce greenhouse gas (GHG) emissions relative to low-occupancy transportation modes, but many current transit systems have not been designed to reduce environmental impacts. This motivates the study of the benefits of design and operational approaches for reducing the environmental impacts of transit systems. For example, transit agencies may replace level-of-service (LOS) by vehicle miles traveled (VMT) as a criterion in evaluating design and operational changes. Previous studies have demonstrated in an idealized singletechnology transit system the potential of reducing GHG emissions by lowering the transit level-of-service (LOS) provided to the users. In this research, we extend the analysis to account for a more realistic case: a transit system with a hierarchical structure (trunk and feeder lines) providing service to a city where demand is elastic. By considering the interactions between the trunk and... https://escholarship.org/uc/item/25x1b693 Fri, 11 Oct 2019 00:00:00 +0000 Madanat, Samer Horvath, Arpad Mao, Chao Cheng, Han https://escholarship.org/uc/item/25h4r974 Transfers are a major source of travel time variability for transit passengers. Coordinating transfers between transit routes in real time can reduce passenger waiting times and travel time variability, but these benefits need to be contrasted with the delays to on-board and downstream passengers, as well as the potential for bus bunching created by holding buses for transfers. We developed a dynamic holding strategy for transfer coordination based on control theory. We then obtained the optimal control strategy, where maximum holding time is a function of real-time estimates of bus arrivals and passengers and the uncertainty in these estimates. Total travel time (waiting plus in-vehicle) with the optimal control is found to be globally less than or equal to total travel time without control when uncertainty is bounded. The time savings from transfer coordination increase with the ratio of transferring to through passengers but diminish as uncertainty in the real-time estimates... https://escholarship.org/uc/item/25h4r974 Fri, 11 Oct 2019 00:00:00 +0000 Daganzo, Carlos Anderson, Paul https://escholarship.org/uc/item/1z01h8ts Public transit investments are a large and growing share of all transportation investments in the state of California, and such critical investments should be evaluated partly on their economic benefits. Taking such benefits into account could alter investment, service, and service restructuring decisions taken by transit agencies in the state. The relationship of public transportation to economic productivity, and spatial patterns of industrial location, is understudied. This project investigated how changes in rail transit service in California metropolitan areas (Los Angeles, the San Francisco Bay Area, and San Diego) are associated with firm clustering by industry and with commercial property values. A mixed methods approach was used. One strand of the research involved first, describing location patterns by industry according to transit access, and second, quantitatively modeling the relationship between transit access and (a) employment densification by industry and (b)... https://escholarship.org/uc/item/1z01h8ts Fri, 11 Oct 2019 00:00:00 +0000 Chatman, Daniel Xu, Ruoying Park, Janice Le, Kim https://escholarship.org/uc/item/4gj3n2n3 California’s Senate Bill (SB) 743, enacted in 2013, marks a historic shift in how the traffic impacts of development projects are to be evaluated and mitigated statewide. To help achieve state climate policy and sustainability goals, SB 743 eliminates traffic delay as an environmental impact under the California Environmental Quality Act. State implementing guidelines for SB 743 instead require an assessment of vehicle miles traveled (VMT). The adoption of the guidelines sparked debate and raised far-reaching questions about development planning. Our research consisted of four parts. First, we considered how the state guidelines might be applied by analyzing travel patterns across and within California cities in relation to the guidelines. We also interviewed fortythree professional transportation consultants and regional and local planners to provide insights on SB 743 implementation. In addition, we carried out extensive case studies of San Francisco and Pasadena, where policies... https://escholarship.org/uc/item/4gj3n2n3 Wed, 28 Aug 2019 00:00:00 +0000 Barbour, Elisa Chatman, Daniel G. Doggett, Sarah Yip, Stella Santana, Manuel https://escholarship.org/uc/item/68g2h1qv Transportation is arguably experiencing its most transformative revolution since the introduction of the automobile. Concerns over climate change and equity are converging with dramatic technological advances. Although these changes – including shared mobility and automation – are rapidly altering the mobility landscape, predictions about the future of transportation are complex, nuanced, and widely debated. California is required by law to renew the California Transportation Plan (CTP), updating its models and policy considerations to reflect industry changes every five years. This document is envisioned as a reference for modelers and decision makers. We aggregate current information and research on the state of key trends and emerging technologies/services, documented impacts on California’s transportation ecosystem, and future growth projections (as appropriate). During 2017, we reviewed an expanded list of 20 topics by referencing state agency publications, peer-reviewed... https://escholarship.org/uc/item/68g2h1qv Tue, 27 Feb 2018 00:00:00 +0000 Shaheen, Susan, PhD Totte, Hannah Stocker, Adam https://escholarship.org/uc/item/5vc422rt With the advent of emerging technologies, urban intersections are being increasingly equipped with various types of video-based and in-pavement sensing systems to facilitate round-the-clock monitoring and optimization of multi-modal flows. In comparison, the assessment of the safety performance of these facilities continues to be largely based on either crash history or citizen grievances. Herein lies an opportunity to apply advanced sensing platforms to proactively monitor safety-critical events of multi-modal road users. This work presents a traffic safety monitoring framework which showcases the capabilities of utilizing in-pavement sensors to provide a detailed, automated assessment of mobility and safety-related performance measures for multi-modal traffic at signalized intersections. The term safety-critical refers to any action or interaction that can adversely impact a road user’s safety, including jaywalking, red-light running, and drivers not yielding to pedestrians.... https://escholarship.org/uc/item/5vc422rt Mon, 11 Dec 2017 00:00:00 +0000 Grembeck, Offer Ragland, David https://escholarship.org/uc/item/3bz8t8dr People walk a lot—to walk pets, to exercise and recreate, and to access public transit and local shops. Walk trips begin and end almost every journey, even trips made by automobile. Data from the current California Household Travel Survey (CHTS) show that walking occurs more than trips by both transit and bicycle, making it the second most common travel mode in California. Yet outside of select case studies in specific metropolitan areas, we know very little about walking behavior in California. An improved understanding of the determinants of walking will aid efforts to reduce driving and achieve greenhouse gas emission reduction targets. In this study we draw on data from the last two California Household Travel Surveys to examine walking behavior in four major California regions—the San Francisco Bay Area, Los Angeles, Sacramento, and San Diego. The study includes four components; analyses of(a) the change in walking over time (b) the relationship between walking and the built... https://escholarship.org/uc/item/3bz8t8dr Mon, 11 Dec 2017 00:00:00 +0000 Blumenberg, Evelyn https://escholarship.org/uc/item/7877815v This project documents and analyzes the recent change in California transportation revenue collection programs that end discontinued the state sales tax on motor fuels and increased the state per gallon excise taxes on motor fuels. https://escholarship.org/uc/item/7877815v Fri, 8 Jul 2016 00:00:00 +0000 Wachs, Martin Garrett, Mark Brown, Anne