Published Journal Article: Avoiding the risk of responsibility by seeking uncertainty: Responsibility aversion and preference for indirect agency when choosing for others

working paper

Estimating Commuters' "Value of Time" and Noisy Data: a Multiple Imputation Approach

Abstract

We estimate how motorists value their time savings and characterize the degree of heterogeneity in these values by observable traits. We obtain these estimates by analyzing the choices that commuters make in a real market situation, where they are offered a free-flow alternative to congested travel. We do so, however, in an empirical setting where several key observations are missing. To overcome this, we apply Rubin’s Multiple Imputation Method to generate consistent estimates and valid statistical inferences. We also compare these estimates to those produced in a “single imputation” scenario to illustrate the potential hazards of single imputation methods when multiple imputation methods are warranted. Our results show the importance of properly accounting for errors in the imputation process, and they also show that value of time savings varies greatly according to motorist characteristics.

Phd Dissertation

The effects of socioeconomic status on transportation attitudes and behavior

Publication Date

June 30, 1980

Author(s)

Suggested Citation
Timothy J. Tardiff (1980) The effects of socioeconomic status on transportation attitudes and behavior. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1go3t9q/alma991014376859704701.

conference paper

Optimizing Prompt Engineering for LLMs in Transportation: A Freeway Segment Analysis Case Study

Proceedings, 104th Annual Meeting of the Transportation Research Board

Publication Date

January 1, 2025

Abstract

The advent of sophisticated artificial intelligence-driven language models, such as ChatGPT, Google Research T5, BERT, and Perplexity AI, has the potential to revolutionize various fields, including transportation engineering. However, recent research findings indicate that suboptimal prompt design could lead to excessive time consumption and increased human effort in these processes. This study addresses this gap by developing and evaluating prompt engineering strategies to enhance Large Language Model (LLM) performance in transportation tasks. We compare different prompt designs including zero-shot, few-shot, discrete, continuous, cloze and prefix prompting using GPT-4o on a pre-defined freeway segment analysis problem. Our methodology involves a detailed analysis of current transportation applications and the design of a specific evaluation problem to test prompt efficiency and accuracy. Results show that zero-shot and continuous prompting, although efficient, lead to inaccuracies due to potential error propagation. Cloze and prefix prompting offer high accuracy by structuring prompts for precise calculations, balancing moderate efficiency with reliability. These findings demonstrate the potential of tailored prompt engineering to significantly enhance decision-making and operational efficiency in transportation engineering. In conclusion, this research highlights the transformative impact of effective prompt design, paving the way for more robust and efficient LLM applications in the field. Future work should focus on refining these designs, evaluating their consistency and robustness, and exploring their broader applications within transportation engineering.

Suggested Citation
Chenyu Yuan, Sara-Grace Lien, Wen-Long Jin and Stephen Ritchie (2025) “Optimizing Prompt Engineering for LLMs in Transportation: A Freeway Segment Analysis Case Study”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C..

book/book chapter

The business of codes: Urban design regulation in an entrepreneurial society

Publication Date

April 1, 2011

Author(s)

Nicholas Marantz, Eran Ben-Joseph
Suggested Citation
Nicholas J. Marantz and Eran Ben-Joseph (2011) “The business of codes: Urban design regulation in an entrepreneurial society”, in S. Tiesdell and D. Adams (eds.) Urban design in the real estate development process. Wiley-Blackwell, pp. 114–136. Available at: https://doi.org/10.1002/9781444341188.ch6.

research report

An Investigation in the Use of Inductive Loop Signatures for Vehicle Classification

Abstract

This final report describes an advanced traffic surveillance technique based on pattern recognition and the use of current inductive loop technology. The focus of the investigation was a study of the feasibility of using inductive loop signatures for obtaining vehicle classification information on a network-wide level.

Suggested Citation
Carlos Sun (2000) An Investigation in the Use of Inductive Loop Signatures for Vehicle Classification. Final Report UCB-ITS-PRR-2000-4. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/93j2v5d8.

conference paper

Classification of Workers Based on Trip Chain Behavior in A Developing Country City

100th Transportation Research Board (TRB) Annual Meeting

Publication Date

January 1, 2021

Author(s)

Suggested Citation
T Ahmed, Rezwana Rafiq and S Jahan (2021) “Classification of Workers Based on Trip Chain Behavior in A Developing Country City”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC.

working paper

Multipath Capacity Limited Transit Assignment Using UTPS Package

Publication Date

August 1, 1988

Author(s)

Working Paper

UCI-ITS-WP-88-9

Areas of Expertise

Abstract

At present most patronage predictions of transit systems are performed using UMTA’s UTPS package or some adaptation of it. The transit assignment produced by a typical UTPS system can be classified as an All-or-Nothing limited equilibrium assignment. However, passenger loads assigned to a transit line can far exceed the line capacity. In such a case, line headway has to be reduced to provide enough capacity to accommodate transit demand. If the increase in frequency is not accounted for by iterating again through the mode choice and assignment models, the equilibrium assumptions are violated. If equilibrium between demand and supply is achieved it might occur at a point which requires transit capacity much beyond the economically feasible or engineering practical level. Thus the present transit assignment procedure suffers from two problems. First, trips are assigned to transit lines with disregard to their actual capacity. Second, while some lines are assigned passenger loads beyond capacity, there might be other lines with just slightly longer travel times which are greatly underutilized. A realistic assignment should take into account and not exceed the actual capacity of every transit line. Furthermore, it should consider lines capacities while rationally simulating people’s travel behavior. In this paper a transit assignment algorithm is presented which takes into account the actual capacity of transit lines and assigns trips to more than a single path when the shortest path reaches its capacity. This procedure produces a practical Multipath Capacity Limited Transit Assignment (McLAT). The procedure was implemented on an IBM mainframe computer using standard UMTA’s UTPS package with the addition of only one Fortran program.

Suggested Citation
Joseph N. Prashker (1988) Multipath Capacity Limited Transit Assignment Using UTPS Package. Working Paper UCI-ITS-WP-88-9. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7ft1d0zj.

published journal article

A vehicle ownership and utilization choice model with endogenous residential density

Journal of Transport and Land Use

Abstract

This paper explores the impact of residential density on households’ vehicle type and usage choices using the 2001 National Household Travel Survey (NHTS). Attempts to quantify the effect of urban form on households’ vehicle choice and utilization often encounter the problem of sample selectivity. Household characteristics that are unobservable to the researchers might determine simultaneously where to live, what vehicles to choose, and how much to drive them. Unless this simultaneity is modeled, any relationship between residential density and vehicle choice may be biased. This paper extends the Bayesian multivariate ordered probit and tobit model developed in Fang (2008) to treat local residential density as endogenous. The model includes equations for vehicle ownership and usage in terms of number of cars, number of trucks (vans, sports utility vehicles, and pickup trucks), miles traveled by cars, and miles traveled by trucks. We carry out policy simulations that show that an increase in residential density has a negligible effect on car choice and utilization, but slightly reduces truck choice and utilization. The largest impact we find is a -.4 arc elasticity of truck fuel use with respect to density. We also perform an out-of-sample forecast using a holdout sample to test the robustness of the model.

Suggested Citation
David Brownstone and Hao (Audrey) Fang (2014) “A vehicle ownership and utilization choice model with endogenous residential density”, Journal of Transport and Land Use, 7(2), pp. 135–151. Available at: 10.5198/jtlu.v7i2.468.

published journal article

Inductive classifying artificial network for vehicle type categorization

Comp-aided Civil Eng

Publication Date

May 1, 2003
Suggested Citation
Carlos Sun, Stephen G. Ritchie and Seri Oh (2003) “Inductive classifying artificial network for vehicle type categorization”, Comp-aided Civil Eng, 18(3), pp. 161–172. Available at: 10.1111/1467-8667.00307.