working paper

Conducting an Interactive Survey of Household Weekly Activities via Internet: Preliminary Results from a Pilot Study

Publication Date

September 5, 2001

Author(s)

Ming-Sheng Lee, Ramesh Sabetiashraf, Sean T. Doherty, Craig Rindt, Michael McNally

Working Paper

UCI-ITS-WP-01-6, UCI-ITS-AS-WP-01-1

Areas of Expertise

Abstract

The primary goal of activity-based models is a fundamental examination of the behavioral processes that results in revealed travel behavior. To reveal this process, a new computer program, REACT!, has been developed to collect data for a study of the determinants of travel and activity behavior in households. These data are inherently dynamic, since respondents record planned activity schedules and them update these schedules on a daily basis, fully defined in time and space. The resultant data will facilitate the identification of fundamental inter-relationships among a comprehensive range of revealed travel and activity participation variables, leading toward the identification of the critical variables, relationships and rules that govern that behavior. It is believed that an internet-based travel survey, particularly one as rich in resultant content as REACT!, will significantly reduce data collection costgs, improve data quality and quantity, and allow for continuous data collection. The purpose of this paper is to describe features of REACT! and to present preliminary results from a pilot study.

Suggested Citation
Ming S. Lee, Ramesh Sabetiashraf, Sean T. Doherty, Craig R. Rindt and Michael G. McNally (2001) Conducting an Interactive Survey of Household Weekly Activities via Internet: Preliminary Results from a Pilot Study. Working Paper UCI-ITS-WP-01-6, UCI-ITS-AS-WP-01-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/1zf82002.

working paper

Private Toll Roads: Learning from the 19th Century

Publication Date

August 1, 1992

Associated Project

Author(s)

Daniel B. Klein, Gordon (Pete) Fielding

Abstract

California has authorized four toll roads to be constructed and operated by private groups, and it is considering more. Construction on a similar 14-mile project in Virginia will begin in 1992. Florida, Texas, and Colorado are considering proposals for private toll roads, and there is talk of a 500-mile private connection between Chicago and Kansas City. Outside the United States, private groups are operating toll roads in France and Italy. Indeed, the idea of private toll roads is making a comeback.We say “comeback” because many regions of the United States were once laced with private toll roads. In the early 1800s turnpiking was the leading form of transportation improvement. At mid-century an elaborate system of short turnpikes and plank roads served as feeders to the canals and railroads. In Colorado and California private toll roads served the early mining camps. By the year 1900 scores of rustic toll roads continued to traverse rural areas nation-wide. During the 19th century at least 2,000 private companies operated toll roads.

Suggested Citation
Daniel B. Klein and Gordon J. Fielding (1992) Private Toll Roads: Learning from the 19th Century. Working Paper Reprint No. 118. Institute of Transportation Studies, UC Irvine: University of California Transportation Center. Available at: https://escholarship.org/uc/item/1ps0p68g.

working paper

iChase: An Internet Computerized Household Activity Scheduling Elicitor Survey

Publication Date

November 1, 1999

Author(s)

Ming-Sheng Lee, Sean T. Doherty, Ramesh Sabetiashraf, Michael McNally

Working Paper

UCI-ITS-WP-99-7, UCI-ITS-AS-WP-99-1

Areas of Expertise

Abstract

The primary goal of activity-based models is a fundamental examination of the behavioral process that results in revealed travel behavior. To reveal this process, a new computer program, iCHASE, has been developed to collect data for a study of the determinants of travel and activity behavior in households. This data is inherently dynamic, since respondents record planned activity schedules and then update these schedules, on a daily basis, fully defined in time and space. The resultant data will facilitate the identification of fundamental inter-relationship among a comprehensive range of revealed travel and activity participation variables, leading toward the identification of what are the critical variables, relationships, and rules that govern that behavior. It is believed that an internet-based travel survey, particularly one as rich in resultant content as iCHASE, will significantly reduce data collection costs, improve data quality and quantity, and allow for continuous data collection.

Suggested Citation
Ming S. Lee, Sean T. Doherty, Ramesh Sabetiashraf and Michael G. McNally (1999) iChase: An Internet Computerized Household Activity Scheduling Elicitor Survey. Working Paper UCI-ITS-WP-99-7, UCI-ITS-AS-WP-99-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/45x9s7kw.

Phd Dissertation

An Activity-Based Approach to Accessibility

Abstract

In an effort to compensate for the deficiencies on traditional trip based approach, this dissertation focuses on the supplement in traditional measures of individual accessibility, and the incorporation of temporal transference effects and ride sharing behavior within a household to form a sensitive index. A network-based activity assignment protocol has been developed for complex travel activity decisions within a household. The proposed research incorporates routing, scheduling, and ride-sharing components into a hybrid model that explicitly captures the interactions between household members and integrates ride-sharing, and time window constraints. Under this approach, individual accessibility can be estimated and aggregated to reflect household accessibility. Prior research on such accessibility approaches strongly suggests that the proposed extensions can be employed to estimate the impacts of changes in different policy options. Results of this research will contribute to the state-of-the-art in complex travel behavior and validate a policy-sensitive forecasting model.

Suggested Citation
Chienho Chen (1996) An Activity-Based Approach to Accessibility. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/u4evf/cdi_bjzhongke_primary_AAI9621523.

working paper

Predicting the Market Penetration of Electric and Clean-Fuel Vehicles

Publication Date

November 1, 1991

Author(s)

Thomas Golob, Ryuichi Kitamura, Mark Bradley, David Bunch

Abstract

Air quality in Southern California and elsewhere could be substantially improved if some gasoline powered personal vehicles were replaced by vehicles powered by electricity or alternative fuels, such as methanol, ethanol, propane, or compressed natural gas. Quantitative market research information about how consumers are likely to respond to alternative-fuel vehicles is critical to the development of policies aimed at encouraging such technological change. In 1991, a three-phase stated preference (SP) survey was implemented in the South Coast Air Basin of California to predict the effect on personal vehicle purchases of attributes that potentially differentiate clean-fuel vehicles from conventional gasoline (or diesel) vehicles. These attributes included: limited availability of refueling stations, limited range between refueling or recharging, vehicle prices, fuel operating costs, emissions levels, multiple-fuel capability, and performance. Respondents were asked to choose one vehicle from each of five sets of hypothetical clean-fuel and conventional gasoline vehicles, each vehicle defined in terms of attributes manipulated according to a specific experimental design. Discrete choice models, such as the multinomial logit model, are then used to estimate how the values of the attribute levels influence purchase decisions. The SP survey choice sets were customized to each respondent’s situation, as determined in the preceding Phase of the survey. The final Phase of the survey involved fuel-choice SP tasks for multi-fuel vehicles that can run on either clean fuels or gasoline. Preliminary results from a pilot sample indicate that the survey responses are plausible and will indeed be useful for forecasting.

Suggested Citation
Thomas F. Golob, Ryuichi Kitamura, Mark Bradley and David S. Bunch (1991) Predicting the Market Penetration of Electric and Clean-Fuel Vehicles. Working Paper UCI-ITS-WP-91-13. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/9jc2n56h.

Phd Dissertation

Land use regulations and housing supply: Impacts on local, state, and U.S. markets

Publication Date

January 1, 2009

Author(s)

Abstract

When a slumping housing market pushes a national economy towards recession, policy makers, investors and homeowners tend to focus their attention on federal regulation of housing finance. However, they have all but ignored the impacts of local and state regulations on the production of housing itself. This is surprising, since recent evidence suggests local and state land use regulations may play an important role in housing market efficiency (Mayer and Soerville, 2000; Glaser, Gyourko, and Saks, 2005). Furthermore, scholars have failed to reconcile opposing theories of land use regulations and housing supply, so consistent definitions of regulation and efficiency remain elusive. This dissertation will help reconcile the opposing theories of urban economics, political economy, and regional planning with the question: How do land use regulations effect housing markets? Do their impacts vary by scale? While these theoretical models yield radically different answers, most conclude that other regulatory approaches result in housing market inefficiencies. But with several perspectives and viewpoints, what are the fundamentals of various models? How well do models and theories portray real world markets? Which models should policy makers follow? This dissertation uses a three-paper approach to address these questions. The first paper, an integrative analysis, intimately examines the idea that land use regulations may have played a role in the emergence of the 2007 recession. Results financial deregulation and decentralization of land use in the 1980s set the stage for a large housing bubble and subsequent crash. Second, an empirical analysis examines local government regulation, competition, and housing construction in Southern California. Findings indicate that as cities permit more multifamily units, their neighbors permit less, suggesting that local regulations and intercity competition may inefficiently restrict certain housing types. The third paper analyzes the impacts of state regulation on housing growth in Maryland, and finds that it may increase multifamily housing in urban areas, but decrease in suburban and exurban areas. This suggests that cities in non-urban areas might view state regulatory incentives as a source of inefficient growth or public expenditures, and that “smart growth” programs have limited effectiveness.

Suggested Citation
Ralph Boone McLaughlin (2009) Land use regulations and housing supply: Impacts on local, state, and U.S. markets. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1gpb62p/alma991027839339704701 (Accessed: October 14, 2023).

working paper

Commercial Fleet Demand for Alternative-Fuel Vehicles

Publication Date

April 1, 1996

Abstract

Fleet demand for alternative-fuel vehicles (“AFVs” operating on fuels such as electricity, compressed natural gas, or methanol) is investigated through an analysis of a 1994 survey of 2,000 fleet sites in California. This survey gathered information on site characteristics, awareness of mandates and incentives for AFV operation, and AFV purchase intentions. The survey also contained stated preference tasks in which fleet decision makers simulated fleet-replacement purchases by indicating how they would allocate their choices across a “selector list” of hypothetical future vehicles. A discrete choice model was estimated to obtain preference tradeoffs for fuel types and other vehicle attributes. The overall tradeoff between vehicle range and vehicle capital cost in the sample was $80 per mile of range, but with some variation by fleet sector. tradeoff The availability (density) of off-site alternative fuel stations was important to fleet operators, indicating that fleets are willing to trade off more fuel infrastructure for changes in other attributes, e.g., increased capital or operating costs, or more limited vehicle range. Public fleets (local and county government) were the most sensitiv the capital cost of new vehicles. Along with schools, they are the only fleet sector where reduced tailpipe emission levels are a significant predictor of vehicle choice. Fleet operators in the private sector base their vehicle selection less on environmental concerns than on practical operational needs.

Suggested Citation
Thomas F. Golob, Jane Torous, Mark Bradley, David Brownstone, Soheila Soltani Crane and David S. Bunch (1996) Commercial Fleet Demand for Alternative-Fuel Vehicles. Working Paper UCI-ITS-WP-96-5. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7d21x5s9.

working paper

Is Jobs-Housing Balance a Transportation Issue?

Publication Date

October 30, 1991

Associated Project

Abstract

Jobs-housing balance has become a major planning and public policy issue. Despite its popularity and apparent acceptance among public policy makers as a solution for traffic congestion and air pollution problems, there is little consensus on what jobs-housing balance means and little evidence that a jobs-housing balance policy would have any significant effect on these problems. The jobs-housing balance policy is premised on the idea that job and housing location choices are closely linked, and that policy intervention is required to achieve a balance of housing and jobs. Existing evidence suggests that the relationship between where people choose to live and work is complex, and may have little to do with job access considerations. Further, patterns of urban growth and travel indicate that balancing occurs as part of the urban development process. It is concluded that jobs-housing balance is not an effective solution for traffic congestion and air pollution concerns. Rather, these problems are better addressed in a more direct way.

Suggested Citation
Genevieve Giuliano (1991) Is Jobs-Housing Balance a Transportation Issue?. Working Paper Reprint No. 133. Institute of Transportation Studies, UC Irvine: University of California Transportation Center. Available at: https://escholarship.org/uc/item/4874r4hg.

Phd Dissertation

Transportation Noise Impacts on Residential Property Values in Los Angeles County: A Spatial Hedonic Analysis

Publication Date

January 1, 2022

Author(s)

Abstract

As population densities in urban areas increase, the associated demand on transportation infrastructure continues to exacerbate impacts on surrounding communities. These demands create a number of socioeconomic burdens including housing price impacts when communities are regularly exposed to excessive noise levels. Although noise impacts are not as commonly recognized or assessed in comparison to other environmental issues such as air, ground, or water pollution, it has been well documented in the literature that a wide range of health issues exist when communities are exposed to noise from transportation infrastructure. From a research perspective, the correlation of these health issues to the presence of impactful noise is difficult to quantify, as noise is subjective and requires translation into varying degrees of annoyance to deem it as detrimental from both health and economic perspectives. This dissertation utilizes spatial hedonic price (HP) models to estimate individuals’ marginal willingness-to-pay (MWTP) to reside in noise-impacted areas. These MWTP values can then be used to both valuate economic impacts and as a noise annoyance level proxy to identify zones that are at-risk due to excessive transportation noise exposure.The first analysis in this dissertation reviews salient transportation noise-related papers that have been published since Navrud’s comprehensive 2002 transportation noise literature review. In a review of recent literature, this dissertation found that transportation noise research has evolved to include advanced Geographic Information System data, and leverages increasingly powerful processors and statistical analysis programs. In addition, although significant transportation noise research has been conducted in Europe following EU Environmental Noise Directive 2002/49/EC, a relatively minimal number of studies have been conducted in the United States — especially in Southern California, revealing a research gap that this dissertation helps to address.The second analysis investigates the impacts of aircraft operations around Los Angeles International Airport. Using a subset of 2010-2014 single-family home sales data from the Los Angeles County Office of the Assessor (LACOA), HP spatial autoregressive models with autoregressive disturbances (SARAR) were estimated. The study hypothesizes and confirms that a negative impact value would be observed for homes being located within noise-mapped zones around the airport, along with an improvement in estimation values compared to previous fixed spatial effects ordinary least squares techniques.The third analysis in this dissertation investigates two important topics. First, it hypothesizes negative home value impacts from nearby freight rail operations in the densely populated South Bay region of Los Angeles County. Noise from freight rail lines is analyzed using an HP SARAR model and confirm negative valuation impacts to homes located near these rail lines. Second, it hypothesizes that by using a subset of the master LACOA dataset above, varying levels of spatial homogeneity can be comparatively analyzed between two samples that use similar data and modeling techniques. Results indicate that when neighboring zones have distinct differences in jurisdiction, fixed spatial effect delineations remain statistically significant. However, when neighboring zones have similar jurisdictional or demographic characteristics, spatial model parameters are able to account for fixed delineations.

Suggested Citation
Kaoru Todd Matsubara (2022) Transportation Noise Impacts on Residential Property Values in Los Angeles County: A Spatial Hedonic Analysis. Ph.D.. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/u4evf/cdi_proquest_journals_2689000905 (Accessed: October 12, 2023).

published journal article

An exploratory analysis of alternative travel behaviors of ride-hailing users

Transportation

Abstract

The emergence of ride-hailing, technology-enabled on-demand services such as Uber and Lyft, has arguably impacted the daily travel behavior of users. This study analyzes the travel behavior of ride-hailing users first from conventional person- and trip-based perspectives and then from an activity-based approach that uses tours and activity patterns as basic units of analysis. While tours by definition are more easily identified and classified, daily patterns theoretically better represent overall travel behavior but are simultaneously more difficult to explain. We thus consider basic descriptive analyses for tours and a more elaborate approach, Latent Class Analysis, to describe pattern behavior. The empirical results for tours using data from the 2017 National Household Travel Survey show that 76% of ride-hailing tours can be represented by five dominant tour types with non-work tours being the most frequent. The Latent Class model suggests that the ride-hailing users can be divided into four distinct classes, each with a representative activity-travel pattern defining ride-hailing usage. Class 1 was composed of younger, employed people who used ride-hailing to commute to work. Single, older individuals comprised Class 2 and used ride-hailing for midday maintenance activities. Class 3 represented younger, employed individuals who used ride-hailing for discretionary purposes in the evening. Last, Class 4 members used ride-hailing for mode change purposes. Since each identified class has different activity-travel patterns, they will show different responses to policy directives. The results can assist ride-hailing operators in addressing evolving travel needs as users respond to various policy constraints.

Suggested Citation
Rezwana Rafiq and Michael G. McNally (2023) “An exploratory analysis of alternative travel behaviors of ride-hailing users”, Transportation, 50(2), pp. 571–605. Available at: 10.1007/s11116-021-10254-9.