research report

Telecommuting and the Open Future

Publication Date

January 6, 2024

Research Report

UC-ITS-2022-41

Areas of Expertise

Abstract

The COVID-19 pandemic has generated renewed interest in how telecommuting can alter the workings of our cities and regions, but there is little guidance on how to align planning practice with the new reality. This report synthesizes the research on telecommuting and its consequences to help planners better understand what effects may occur from the proliferation of telecommuting and what lessons can be drawn from research findings. Emphasis is on the broad relevance of telecommuting to many domains of planning, including housing, land use, community development, and inclusive place-making, while attention is paid to changes in travel demand, vehicle miles traveled (VMT), and greenhouse gas emissions. The research suggests that telecommuting can occur in a variety of ways, and its impacts are largely dependent not only on the type/schedule of telecommuting but on the built environment, transit accessibility, and other amenities/opportunities the location provides. The varying impacts reported in the research can be seen as an encouragement for planners to actively create a better future rather than merely responding to the rise of telecommuting. Given the breadth of telecommuting’s impacts, systematic coordination across various planning domains will be increasingly important. This report also calls for collaboration across cities to guide the ongoing transformation induced by telecommuting not in a way that leads to more residential segregation but in a way that provides more sustainable and inclusive communities.

Suggested Citation
Alex Okashita, Harold Arzate and Jae Hong Kim (2024) Telecommuting and the Open Future. Research Report UC-ITS-2022-41. UC ITS. Available at: https://doi.org/10.7922/g2r49p3j.

working paper

Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability: Implications for Road Pricing

Publication Date

August 1, 2002

Author(s)

Kenneth Small, Clifford Winston, Jia Yan

Working Paper

UCI-ITS-WP-02-4, UCTC 546

Areas of Expertise

Abstract

Recent econometric advances have made it possible to empirically identify the varied nature of consumers’ preferences. We apply these advances to study commuters’ preferences for speedy and reliable highway travel with the objective of exploring the efficiency and distributional effects of road pricing that accounts for users’ heterogeneity. Our analysis combines revealed and stated commuter choices of whether to pay a toll for congestion-free express travel or to travel free on regular congested roads. We find that highway users exhibit substantial heterogeneity in their values of travel time and reliability. Moreover, we show that road pricing policies that cater to varying preferences can substantially increase efficiency while maintaining the political feasibility exhibited by current experiments. By recognizing heterogeneity, policymakers may break the current impasse in efforts to relieve highway congestion.

Suggested Citation
Kenneth A. Small, Clifford Winston and Jia Yan (2002) Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability: Implications for Road Pricing. Working Paper UCI-ITS-WP-02-4, UCTC 546. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/0vs152zt.

published journal article

From state of the practice to state of the art: improving equity analysis in regional transportation plans

Transportation

Abstract

Metropolitan planning organizations (MPOs) in the United States develop long-range Regional transportation plans (RTPs), which are required in order for municipalities to receive federal funds for transportation projects. Title VI of the federal Civil Rights Act of 1964 requires MPOs to submit an equity analysis to demonstrate that their RTPs do not discriminate against protected groups. This paper (i) identifies and evaluates the current range of practices in transportation equity analysis in RTPs for the largest MPOs, and (ii) provides practical steps for MPOs to improve their equity analyses. To identify the range of practices, we assess how MPOs define equity goals, identify populations of concern, integrate their equity analysis into their RTP documents, use community input, and whether they meet or exceed legal standards. Additionally, we evaluate how MPOs use travel forecasting models in their equity analyses and the quality of their models; we also describe practical steps for MPOs to improve their equity analyses along this dimension. We find significant variability in how MPOs define fairness in their equity goals, define populations of concern, use community input, and use travel forecasting models in their equity analyses. For example, several MPOs conduct in-depth equity analyses using advanced travel forecasting models, synthetic populations of households, and various classifications of populations of concern. In contrast, other MPOs only display the locations of RTP projects on a map with geographies labeled as disadvantaged or non-disadvantaged. We also find that MPOs with more restrictive state requirements than federal guidelines produce higher quality equity analyses—an important finding considering the Biden Administration’s review of Executive Order 12898, a potential avenue to alter guidelines to improve MPO equity analyses.

Suggested Citation
Maxwell Cabello, Michael Hyland and Nicholas Marantz (2025) “From state of the practice to state of the art: improving equity analysis in regional transportation plans”, Transportation, 52(3), pp. 791–826. Available at: 10.1007/s11116-023-10439-4.

Phd Dissertation

Predicting activity types from GPS and GIS data

Abstract

Current travel forecasting models have had limited sensitivity to policy decisions. One of the primary challenges with travel forecasting models (both experimental and those implemented) is limitations in the data. The primary data source, the daily travel diary, is limited in both accuracy and sample size. The daily travel diary has known problems with underreporting, time inaccuracies, respondent fatigue, and other human errors. Global positioning systems (GPS) have been recently used to supplement the daily travel diary. As GPS becomes more accurate, reliable, and cost effective, could it entirely replace the daily travel diary? A number of efforts have used GPS data for route choice studies and to supplement daily travel diaries by providing more accurate time data, and determining under-reporting rates. GPS is also used in computer assisted daily travel diaries, reminding respondents of activities they may have forgotten to report. GPS devices record times and locations of each activity and the trips between those activities. To use GPS data to replace the daily travel diary one need only predict the activity types. The goal of this research is to develop and test a model to predict activity types based solely on: (1) GPS data from devices placed on the individual’s vehicle or person, (2) Land use data, such as location type, expressed as GIS data, and (3) Demographic data for the individual and the household. This thesis summarizes models developed using discriminant analysis and classification/regression trees. The models predicted in which of 26 different activity types the individual participated. Accuracy for out of home activities for the best model was 63%. When combed with the activity of being at home (which can be accurately predicted if we know the individuals home location) an accuracy of 79% was achieved (72% if you consider that GPS data may miss as much as 10% of trips). Since travel diaries have been known to underreport trips by as much as 25%, GPS data with the model developed can be very competitive. It is even more appealing considering the time inaccuracies and human error associated with travel diaries.

Suggested Citation
Patrick Tracy McGowen (2006) Predicting activity types from GPS and GIS data. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/74dcdl/alma991035093161304701 (Accessed: October 14, 2023).

working paper

On Activity-based Network Design Problems

Publication Date

September 5, 2012

Working Paper

UCI-ITS-WP-12-3

Areas of Expertise

Abstract

This paper examines network design where OD demand is not known a priori, but is the subject of responses in household or user itinerary choices that depend on subject infrastructure improvements. Using simple examples, we show that falsely assuming that household itineraries are not elastic can result in a lack in understanding of certain phenomena; e.g., increasing traffic even without increasing economic activity due to relaxing of space-time prism constraints, or worsening of utility despite infrastructure investments in cases where household objectives may conflict. An activity-based network design problem is proposed using the location routing problem (LRP) as inspiration. The bilevel formulation includes an upper level network design and shortest path problem while the lower level includes a set of disaggregate household itinerary optimization problems, posed as household activity pattern problem (HAPP) (or in the case with location choice, as generalized HAPP) models. As a bilevel problem with an NP-hard lower level problem, there is no algorithm for solving the model exactly. Simple numerical examples show optimality gaps of as much as 5% for a decomposition heuristic algorithm derived from the LRP. A large numerical case study based on Southern California data and setting suggest that even if infrastructure investments do not result in major changes in itineraries the results provide much higher resolution information to a decision-maker. Whereas a conventional model would output the best set of links to invest given an assumed OD matrix, the proposed model can output the same best set of links, the same OD matrix, and a detailed temporal distribution of activity participation and travel, given a set of desired destinations and schedules.

Suggested Citation
Jee Eun Kang, Joseph Y.J. Chow and Will W. Recker (2012) On Activity-based Network Design Problems. Working Paper UCI-ITS-WP-12-3. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/8g615878.

policy brief

An Activity-based Toolbox for Planning Applications

Abstract

An activity-based modeling toolbox was produced for planning
agencies to investigate the effects certain policies have on travel
demand.

Suggested Citation
Will Recker (2019) An Activity-based Toolbox for Planning Applications. Policy Brief. Institute of Transportation Studies, Irvine. Available at: https://dot.ca.gov/-/media/dot-media/programs/research-innovation-system-information/documents/research-results/task2642-rrs-5-19-a11y.pdf.

research report

Transportation Plans: Their Informational Content and Use Patterns in Southern California

Abstract

While a large amount of effort has been devoted to making and updating local transportation plans, little is known about the informational contents of these plans and their use patterns. This project attempted to identify key informational contents of Californian cities’ transportation plans and to investigate how the plan contents can be used by various stakeholders through (i) a plan content analysis of a sample of general plans (recently adopted by eight municipalities in Orange County, California) and (ii) a plan use survey and follow-up analysis of survey responses. All plans analyzed were found to convey a variety of information about their visions, goals, policies, and implementation strategies, but the plan content analysis revealed substantial variation in the way cities composed their general plans and integrated them with other plans/players. Compared to land use elements, circulation elements tended to focus more on their connections with other agencies (external consistency) than on internal consistency. The plan use survey yielded a low response rate which may indicate limited use of plans in the field. However, a majority of the survey responses were positive about the usefulness and usability of general plans. In particular, the survey participants reported that they found the plans comprehensive, visionary, and well-organized, while relatively lower scores were obtained for two evaluation criteria: ‘[the plan] clearly explains what actions will be taken and when’ and ‘[the plan] is relevant to my everyday life and/or work’. Furthermore, some respondents reported that they used general plans not for their professional duties but for other (non-conventional) purposes, suggesting that plan contents could be used for a variety of decision-making processes.

Suggested Citation
Jae Hong Kim, Xiangyu Li, Tanjeeb Ahmed and Victor Paitimusa (2018) Transportation Plans: Their Informational Content and Use Patterns in Southern California. Available at: https://escholarship.org/uc/item/1f33s1kz (Accessed: October 11, 2023).