conference paper

A practical data-driven approach to analyze inter-agency passenger transfer with GTFS data: A case study of the city of long beach

Proceedings of the 98th annual meeting of the transportation research board

Publication Date

January 1, 2019

Abstract

In USA, individual transit agencies are operating independently. In regional transit systems that consist of multiple transit agencies, lack of coordination and cooperation could possibly jeopardize system performance. Inter-agency transfer quality is one of the critical aspect that affects efficiency and reliability of regional transit systems. This paper has proposed a practical data-driven approach for analyzing and evaluating inter-agency transfer performance for transit agencies. This study has leveraged General Transit Feed Specification (GTFS) data to obtain geographical locations of stops, trip information of routes and schedules arrangement of buses. A generalized approach has been proposed with GTFS data input. This paper also uses the City of Long Beach as a case study to analyze inter-agency transit between two regional transit agencies, namely Long Beach Transit (LBT) and Orange County Transportation Authority (OCTA). Findings have indicated a different transfer waiting time for peak and non-peak hours, as well as weekdays and weekends. Both the approach and results are meaningful for transit schedule coordination, route planning and regional transit integration.

Suggested Citation
Dingtong Yang and R. Jayakrishnan (2019) “A practical data-driven approach to analyze inter-agency passenger transfer with GTFS data: A case study of the city of long beach”, in Proceedings of the 98th annual meeting of the transportation research board, p. 5p.

published journal article

Analysis of Heat Exposure During Pregnancy and Severe Maternal Morbidity

JAMA Network Open

Publication Date

September 7, 2023

Author(s)

Anqi Jiao, Yi Sun, Chantal Avila, Vicki Chiu, Jeff Slezak, David A. Sacks, John T. Abatzoglou, John Molitor, Jiu-Chiuan Chen, Tarik Benmarhnia, Darios Getahun, Jun Wu

Abstract

The rate of severe maternal morbidity (SMM) is continuously increasing in the US. Evidence regarding the associations of climate-related exposure, such as environmental heat, with SMM is lacking.To examine associations between long- and short-term maternal heat exposure and SMM.This retrospective population-based epidemiological cohort study took place at a large integrated health care organization, Kaiser Permanente Southern California, between January 1, 2008, and December 31, 2018. Data were analyzed from February to April 2023. Singleton pregnancies with data on SMM diagnosis status were included.Moderate, high, and extreme heat days, defined as daily maximum temperatures exceeding the 75th, 90th, and 95th percentiles of the time series data from May through September 2007 to 2018 in Southern California, respectively. Long-term exposures were measured by the proportions of different heat days during pregnancy and by trimester. Short-term exposures were represented by binary variables of heatwaves with 9 different definitions (combining percentile thresholds with 3 durations; ie, ≥2, ≥3, and ≥4 consecutive days) during the last gestational week.The primary outcome was SMM during delivery hospitalization, measured by 20 subconditions excluding blood transfusion. Discrete-time logistic regression was used to estimate associations with long- and short-term heat exposure. Effect modification by maternal characteristics and green space exposure was examined using interaction terms.There were 3446 SMM cases (0.9%) among 403 602 pregnancies (mean [SD] age, 30.3 [5.7] years). Significant associations were observed with long-term heat exposure during pregnancy and during the third trimester. High exposure (≥80th percentile of the proportions) to extreme heat days during pregnancy and during the third trimester were associated with a 27% (95% CI, 17%-37%; P < .001) and 28% (95% CI, 17%-41%; P < .001) increase in risk of SMM, respectively. Elevated SMM risks were significantly associated with short-term heatwave exposure under all heatwave definitions. The magnitude of associations generally increased from the least severe (HWD1: daily maximum temperature >75th percentile lasting for ≥2 days; odds ratio [OR], 1.32; 95% CI, 1.17-1.48; P < .001) to the most severe heatwave exposure (HWD9: daily maximum temperature >95th percentile lasting for ≥4 days; OR, 2.39; 95% CI, 1.62-3.54; P < .001). Greater associations were observed among mothers with lower educational attainment (OR for high exposure to extreme heat days during pregnancy, 1.43; 95% CI, 1.26-1.63; P < .001) or whose pregnancies started in the cold season (November through April; OR, 1.37; 95% CI, 1.24-1.53; P < .001).In this retrospective cohort study, long- and short-term heat exposure during pregnancy was associated with higher risk of SMM. These results might have important implications for SMM prevention, particularly in a changing climate.

Suggested Citation
Anqi Jiao, Yi Sun, Chantal Avila, Vicki Chiu, Jeff Slezak, David A. Sacks, John T. Abatzoglou, John Molitor, Jiu-Chiuan Chen, Tarik Benmarhnia, Darios Getahun and Jun Wu (2023) “Analysis of Heat Exposure During Pregnancy and Severe Maternal Morbidity”, JAMA Network Open, 6(9), p. e2332780. Available at: 10.1001/jamanetworkopen.2023.32780.

Phd Dissertation

Economic spillovers of highway investment: A case study of the employment impacts of Interstate 105 in Los Angeles County.

Abstract

Most economists agree that new investments in highways at this point in time in the United States have little impact on overall growth in output. New highways play a more important role in shifting economic activities among places, drawing jobs from other locations into the highway corridors, a phenomenon known as negative spillovers. The objective of this dissertation is two-fold, to examine the proposal to decentralize highway finance, which aims to solve the financial responsibility mismatch problem that stems from economic spillovers of highways, and to test the hypothesis of economic spillovers of highway investment at the metropolitan level. First, to better understand how spillovers influence the highway investment decision, the theoretical framework from the interjurisdictional tax competition literature is borrowed to model governments’ investment behaviors. Numerical simulations show that decentralized local governments, which independently maximize output in their own jurisdiction, may engage in wasteful investments in highways with the presence of spillovers. Second, to shed more light on the spatial detail of economic spillovers, empirical tests of the spillover hypothesis are conducted at the metropolitan level, with census tracts as the unit of observation. The results of the quasi-experiment reveal census tract employment growth patterns that confirm the existence of negative spillovers caused by the opening of the Interstate 105 in 1993. The benefiting area, which grew substantially after the highway was opened, is limited to a long narrow corridor around the highway, while nearby locations outside the corridor experienced slow growth relative to the rest of the metropolitan area after controlling for various factors. Together, these results suggest that although negative spillovers are present at the metropolitan level, decentralizing highway finance may not be an effective policy to deal with the financial responsibility mismatch problem. Highway finance should remain centralized within metropolitan areas, and regional governing bodies should pay special attention to the distributional impact of highway projects.

Suggested Citation
Saksith Chalermpong (2002) Economic spillovers of highway investment: A case study of the employment impacts of Interstate 105 in Los Angeles County.. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991035093234504701.

working paper

Accident Proneness: The History of an Idea

Publication Date

August 1, 2001

Author(s)

Working Paper

UCI-ITS-WP-01-2

Areas of Expertise

Abstract

During World War I, the British government established the Industrial Fatigue Research Board (IFRB), later known as the Industrial Health Research Board (IHRB). The board was created because of concern over the large number of accidental deaths and injuries in the British war production industries. In the course of its dozen or so years, the Board investigated myriad aspects of the issue. One of these studies forms the basis of the present discussion.

Suggested Citation
Frank A. Haight (2001) Accident Proneness: The History of an Idea. Working Paper UCI-ITS-WP-01-2. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/9rh9f29x.

published journal article

Modeling framework to analyze effect of multiple traffic information service providers on traffic network performance

Transportation Research Record

Publication Date

January 1, 2013

Abstract

Along with the increasing popularity of mobile smart devices such as smartphones and tablet personal computers, traffic information is coming to drivers through many intelligent traffic applications. Many countries have multiple traffic information service providers (ISPs), who make every effort to improve their service quality to influence more people to subscribe to their services. Because such a commercial environment is developing, a study of the effect of multiple ISPs on road network performance is necessary. Therefore, a modeling framework of day-to-day dynamics in which multiple ISPs compete and cooperate with each other to enhance their subscriber service quality is developed in this study. A realistic information acquisition and learning mechanism that ensures consistent updating of individually perceived day-by-day travel times is incorporated for driver behavior in this framework. A bounded rational behavior model was adopted for route choice decisions. The framework is capable of investigating the effects of any potential competition or cooperation of multiple ISPs in the traffic information market in terms of their information-sharing strategies. Numerical experiments on a real network were conducted to analyze the impact of such interactions on the network performance. The results showed that a cooperative system was not necessarily the best for network performance and that there was an optimal level of market penetration of traffic information services in transportation networks beyond which the benefits no longer increased or even worsened.

Suggested Citation
Inchul Yang and R. Jayakrishnan (2013) “Modeling framework to analyze effect of multiple traffic information service providers on traffic network performance”, Transportation Research Record, 2333(1), pp. 55–65. Available at: 10.3141/2333-07.

published journal article

Performance evaluation of adaptive ramp-metering algorithms using microscopic traffic simulation model

Journal of Transportation Engineering

Abstract

Adaptive ramp metering has undergone significant theoretical developments in recent years. However, the applicability and potential effectiveness of such algorithms depend on a number of complex factors that are best investigated during a planning phase prior to any decision on their implementation. The use of traffic simulation models can provide a quick and cost-effective way to evaluate the performance of such algorithms prior to implementation on the target freeway network. In this paper, a capability-enhanced PARAMICS simulation model has been used in an evaluation study of three well-known adaptive ramp-metering algorithms: ALINEA, BOTTLENECK, and ZONE. ALINEA is a local feedback-control algorithm, and the other two are areawide coordinated algorithms. The evaluation has been conducted in a simulation environment over a stretch of the I-405 freeway in California, under both recurrent congestion and incident scenarios. Simulation results show that adaptive ramp-metering algorithms can reduce freeway congestion effectively compared to the fixed-time control. ALINEA shows good performance under both recurrent and nonrecurrent congestion scenarios. BOTTLENECK and ZONE can be improved by replacing their native local occupancy control algorithms with ALINEA. Compared to ALINEA, the revised BOTTLENECK and ZONE algorithms using ALINEA as the local control algorithm are found to be more efficient in reducing traffic congestion than ALINEA alone. The revised BOTTLENECK algorithm performs robustly under all scenarios. The results also indicate that ramp metering becomes less effective when traffic experiences severe congestion under incident scenarios.

Suggested Citation
Lianyu Chu, Henry X. Liu, Will Recker and H. Michael Zhang (2004) “Performance evaluation of adaptive ramp-metering algorithms using microscopic traffic simulation model”, Journal of Transportation Engineering, 130(3), pp. 330–338. Available at: 10.1061/(asce)0733-947x(2004)130:3(330).

working paper

Valuing Time and Reliability: Commuters' Mode Choice from a Real Time Congestion Pricing Experiment

Publication Date

September 5, 2001

Author(s)

Working Paper

UCI-ITS-WP-00-5

Areas of Expertise

Abstract

The valuation of travel time savings has been an important theme in transportation research because it is the single largest contributor to the benefits of many transportation projects. It also plays a central role in deciding about the size and scope of public investment and has important welfare implications. It can shed important light as to whether any congestion pricing scheme will have increase social welfare or not. And help us understand how commuters make their travel decisions. The San Diego I-15 Congestion Pricing Project (SDCPP) is a demonstration project where an existing High Occupancy Vehicle lane has converted to HOT (High Occupancy/Toll) lane. Beginning in 1996 these lanes were made available to solo drivers who pay a toll. The toll adjusts every six minutes to maintain free flowing traffic on the HOT lane. Carpoolers get to use the lane for free as before. This presents us with a unique opportunity to study commuters’ choice between a tolled and a free alternative based on not only what the commuters say they would do (SP), but also on what they actually did (RP).The general result is that this tolled facility is used by high income, middle aged, homeowners, female commuters. An interesting result that comes out of this analysis is the dual effects of toll. If the actual toll rises above the mean toll then the commuter is more likely to take the FasTrak lane. Another interesting implication that the effect of toll is conditional on the level of uncertainty of travel time and conversely uncertainty in travel time encourages use of FasTrak lane only if toll rises above a threshold value. Commuters are more sensitive to variations in travel time in the morning, specially during the peak, than in the afternoon.Another salient result is that the Value of Time estimates from Stated Preference models are significantly lower than the Revealed Preference estimates. The difference is consistent and persistent across the different models which lead to the conclusion that these differences are real. Probably it reflects the difference in responses of individuals to actual and hypothetical situations.

Suggested Citation
Arindam Ghosh (2001) Valuing Time and Reliability: Commuters' Mode Choice from a Real Time Congestion Pricing Experiment. Working Paper UCI-ITS-WP-00-5. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/9fz0z9kq.

research report

The Requirements and Recommendations for Development of a California Weigh-in-Motion Test Facility

Publication Date

May 1, 2014

Author(s)

Wei-bin Zhang, Jihua Huang, Andre (Yeow Chern) Tok, Ching-Yao Chang, Stephen Ritchie

Abstract

This report documents a research effort to develop requirements and recommendations for establishing a Weigh-in-Motion Test Facility (WIMTF) in California. This study finds that the effectiveness of existing WIM stations needs to be improved. A WIMTF can facilitate an in-depth understanding of the characteristics of various WIM technologies, as well as the development of new methods for dynamic calibration of WIM scales in order to improve the WIM measurement accuracy, which is critical to the effectiveness and efficiency of WIM stations. To prepare for a WIMTF, several sets of requirements, including non-functional and functional requirements, interface requirements, and data requirements for the WIMTF were developed. Potential sites for the WIMTF were evaluated. Based on the requirements, a site recommendation was made. The study also evaluated the benefits and costs of a WIMTF, concluding that the benefits will far outweigh the costs of a WIMTF.

Suggested Citation
Wei-bin Zhang, Jihua Huang, Andre Tok, Ching-Yao Chang and Stephen Ritchie (2014) The Requirements and Recommendations for Development of a California Weigh-in-Motion Test Facility. University of California, Berkeley / California Partners for Advanced Transit and Highways, p. 130p.

published journal article

Use of Ride-Hailing Services among Older Adults in the United States

Transportation Research Record

Abstract

This paper presents an analysis of data from the 2017 National Household Travel Survey to examine the factors influencing the adoption and the frequency of use of on-demand ride-hailing services such as Uber and Lyft among older adults. Using a zero-inflated negative binomial model (ZINB), the results indicate that the determinants of adoption of on-demand ride-hailing services (users versus non-users) are different from the determinants of the frequency of use of these services among older adult users. Seniors that are younger, living alone, urban dwelling, more highly educated, more affluent, or male with a medical condition that results in asking others for rides, are more likely to be adopters of ride-hailing services. However, seniors who are middle elderly, less educated, or are carless older adults, are more likely to be frequent users of on-demand ride-hailing services as long as they adopt these services. In addition, smartphone possession plays an important role in the adoption behavior of on-demand ride-hailing services among older adults. Results of bivariate analysis showed that older adult ride-hailing users make more transit trips than their non-user counterparts, suggesting that ride-hailing services have the potential to serve as a complementary form of public transportation for older adults. The findings of this research will help ride-hailing operators in identifying potential market segments of their services and in developing campaign strategies for potential adopters.

Suggested Citation
Suman Kumar Mitra, Youngeun Bae and Stephen G. Ritchie (2019) “Use of Ride-Hailing Services among Older Adults in the United States”, Transportation Research Record, 2673(3), pp. 700–710. Available at: 10.1177/0361198119835511.

conference paper

Numerical Investigation of Fracture Propagation in Geomaterials

AGU Fall Meeting Abstracts

Publication Date

December 1, 2015

Author(s)

P. Newell, Elisa Borowski, J. R. Major, P. Eichhubl

Abstract

Fracture in geomaterials is a critical behavior that affects the long-term structural response of geosystems. The processes involving fracture initiation and growth in rocks often span broad time scales and size scales, contributing to the complexity of these problems. To better understand fracture behavior, the authors propose an initial investigation comparing the fracture testing techniques of notched three-point bending (N3PB), short rod (SR), and double torsion (DT) on geomaterials using computational analysis. Linear softening cohesive fracture modeling (LCFM) was applied using ABAQUS to computationally simulate the three experimental set-ups. By applying material properties obtained experimentally, these simulations are intended to predict single-trace fracture growth. The advantages and limitations of the three testing techniques were considered for application to subcritical fracture propagation taking into account the accuracy of constraints, load applications, and modes of fracture. This work is supported as part of the Geomechanics of CO2 Reservoir Seals, a DOE-NETL funded under Award Number DE-FOA-0001037. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.

Suggested Citation
P. Newell, E. Borowski, J. R. Major and P. Eichhubl (2015) “Numerical Investigation of Fracture Propagation in Geomaterials”. AGU Fall Meeting Abstracts, pp. MR41B–2629. Available at: https://ui.adsabs.harvard.edu/abs/2015AGUFMMR41B2629N (Accessed: August 21, 2025).