working paper

Factors Influencing Destination Choice for the Urban Grocery Shopping Trip

Publication Date

November 1, 1977

Author(s)

Will Recker, Lidia P. Kostyniuk

Working Paper

UCI-ITS-WP-77-7

Abstract

Destination choice for the urban grocery shopping trip is hypothesized to be determined by three factors: the individual’s perception of the destination, the individual’s accessibility to the destination and the relative number of opportunities to exer cise any particular choice. Results of a multinomial logit model estimation support this hypothesis and provide useful information concerning the role of urban form in this destination choice situ ation. It is determined that accessibility is the primary aspect influencing destination choice and that its effect is nonlinear.

Suggested Citation
Will Recker and Lidia P. Kostyniuk (1977) Factors Influencing Destination Choice for the Urban Grocery Shopping Trip. Working Paper UCI-ITS-WP-77-7. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/8mp29319.

conference paper

State-of-the art of freight forecasting modeling: Lessons learned and the road ahead

Proceedings of the 88th annnual meeting of the transportation research board

Publication Date

January 1, 2009
Suggested Citation
C.H. Yang, Y-J. Chow and A.C. Regan (2009) “State-of-the art of freight forecasting modeling: Lessons learned and the road ahead”, in Proceedings of the 88th annnual meeting of the transportation research board.

MS Thesis

Modeling of traffic instabilities and phantom jam: The LWR model with stochastic speed-density relation

Publication Date

January 1, 2018

Abstract

This study will evaluate the real causes of phantom traffic jam by evaluating different continuous car-following models under different conditions. Finding the origins of these instabilities would lead to apply some control measures which may solve or minimize the stop and go traffic patterns and improve the whole road performance.

Suggested Citation
Alicia Alcoba Corominas (2018) Modeling of traffic instabilities and phantom jam: The LWR model with stochastic speed-density relation. Universitat Politècnica de Catalunya. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/u4evf/cdi_csuc_recercat_oai_recercat_cat_2072_353459.

conference paper

A preliminary analysis of the environmental impacts of the clean truck program in the alameda corridor, California

Proceedings of the 89th annual meeting of the transportation research board

Publication Date

January 1, 2010

Abstract

The San Pedro Bay Ports (SPBP) of Los Angeles and Long Beach in Southern California is one of the largest port container complexes in the world, and the largest one is the United States. To decrease the air pollution associated with port operations, a number of measures have been adopted, including the Clean Trucks Program, which was introduced in 2008 to modernizing and clean up the fleet of drayage trucks serving the SPBP. The objective of this paper is to quantify the reduction in emissions attributable to the Clean Trucks Program, with a focus on Nitrogen Oxide (NOx) and Particulate Matter (PM2.5). The authors approach is innovative as it relies on micro-simulation (TransModeler) to capture the link between congestion and pollutant emissions. The authors find that the Clean Trucks Program could contribute significantly to the emissions of NOx (~27%) and PM2.5 (~25%) for all the freeway traffic in the study area. These preliminary results suggest that the Clean Trucks Program is promising, but its cost-effectiveness should be analyzed.

Suggested Citation
Roberto Ayala, Jean-Daniel Saphores, Stephen G. Ritchie, Gunwoo Lee and Mana Sangkapichai (2010) “A preliminary analysis of the environmental impacts of the clean truck program in the alameda corridor, California”, in Proceedings of the 89th annual meeting of the transportation research board, p. 16p.

published journal article

Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project

Transportation Research Part A: Policy and Practice

Publication Date

May 1, 1993

Author(s)

David Bunch, Mark Bradley, Thomas Golob, Ryuichi Kitamura, Gareth P. Occhiuzzo

Abstract

A study was conducted to determine how demand for clean-fuel vehicles and their fuels is likely to vary as a function of attributes that distinguish these vehicles from conventional gasoline vehicles. For the purposes of the study, clean-fuel vehicles are defined to encompass both electric vehicles and unspecified (methanol, ethanol, compressed natural gas or propane) liquid and gaseous fuel vehicles, in both dedicated or multiple-fuel versions. The attributes include vehicle purchase price, fuel operating cost, vehicle range between refueling, availability of fuel, dedicated versus multiple-fuel capability and the level of reduction in emissions (compared to current vehicles). In a mail-back stated preference survey, approximately 700 respondents in the California South Coast Air Basin gave their choices among sets of hypothetical future vehicles, as well as their choices between alternative fuel versus gasoline for hypothetical multiple-fuel vehicles. Estimates of attribute importance and segment differences are made using discrete-choice nested multinomial logit models for vehicle choice and binomial logit models for fuel choice. These estimates can be used to modify present vehicle-type choice and utilization models to accommodate clean-fuel vehicles; they can also be used to evaluate scenarios for alternative clean-fuel vehicle and fuel supply configurations. Results indicate that range between refueling is an important attribute, particularly if range for an alternative fuel is substantially less than that for gasoline. For fuel choice, the most important attributes are range and fuel cost, but the predicted probability of choosing alternative fuel is also affected by emissions levels, which can compensate for differences in fuel prices.

Suggested Citation
David S. Bunch, Mark Bradley, Thomas F. Golob, Ryuichi Kitamura and Gareth P. Occhiuzzo (1993) “Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project”, Transportation Research Part A: Policy and Practice, 27(3), pp. 237–253. Available at: 10.1016/0965-8564(93)90062-p.

published journal article

Goal programming approach to allocate freight analysis framework mode flow data

Transportation Research Record

Suggested Citation
Daniel Rodriguez-Roman, Neda Masoud, Kyungsoo Jeong and Stephen G. Ritchie (2014) “Goal programming approach to allocate freight analysis framework mode flow data”, Transportation Research Record, 2411(1), pp. 82–89. Available at: 10.3141/2411-10.

published journal article

Fair processes for societal decisions involving distributional inequalities

Risk Analysis

Publication Date

February 1, 1995

Author(s)

Robin Keller, Rakesh K. Sarin

Abstract

We investigate fair processes for societal decisions that involve different risks and benefits to different groups. A fair decision-making process is particularly important for decisions such as siting hazardous facilities. We experimentally evaluate the impact of alternative decision processes on the final choice of hypothetical facility sites and the resulting benefit and risk distribution to groups. The experimental task required choice among many alternative sites for a hazardous facility. Sites differ by the distribution of risks and benefits to each of two communities, and in the attractiveness of the sites to each community. Subjects were divided into three groups: individuals who judged the best site in the role of arbitrators, pairs of negotiators with one person representing each of the two communities, and trios who identified the best site in the role of a siting jury. We found the choices of negotiating and siting jury groups tended to emphasize the communities’ preferences compared to the individual arbitrators who tended to focus on balancing the distribution of risks and benefits. Also, undergraduate psychology students, regardless of the dispute resolution mechanism, tended to display more emphasis on the risks and benefits, and graduate business students tended to focus more on the communities’ preferences.

Suggested Citation
L. Robin Keller and Rakesh K. Sarin (1995) “Fair processes for societal decisions involving distributional inequalities”, Risk Analysis, 15(1), pp. 49–59. Available at: 10.1111/j.1539-6924.1995.tb00092.x.

published journal article

Modeling the structural relationships of activity-travel participation of working women

Transportation Research Record

Publication Date

September 1, 2018
Suggested Citation
Rezwana Rafiq and Michael G. McNally (2018) “Modeling the structural relationships of activity-travel participation of working women”, Transportation Research Record, 2672(47), pp. 81–91. Available at: 10.1177/0361198118784135.