published journal article

A structural model of temporal change in multi-modal travel demand

Transportation Research Part A: General

Publication Date

November 1, 1987

Author(s)

Thomas Golob, Henk Meurs
Suggested Citation
Thomas F. Golob and Henk Meurs (1987) “A structural model of temporal change in multi-modal travel demand”, Transportation Research Part A: General, 21(6), pp. 391–400. Available at: 10.1016/0191-2607(87)90028-8.

published journal article

Confidentiality breach through acoustic side-channel in cyber-physical additive manufacturing systems

ACM Trans. Cyber-Phys. Syst.

Publication Date

February 1, 2018

Author(s)

Sujit Rokka Chhetri, Arquimedes Canedo, Mohammad Al Faruque
Suggested Citation
Sujit Rokka Chhetri, Arquimedes Canedo and Mohammad Abdullah Al Faruque (2018) “Confidentiality breach through acoustic side-channel in cyber-physical additive manufacturing systems”, ACM Trans. Cyber-Phys. Syst., 2(1), pp. 1–25. Available at: 10.1145/3078622.

conference paper

Leveraging Food Delivery Programs as a Community Resilience Resource: A Demand-Driven Spatial and Temporal Analysis of Need

17th International Conference on Travel Behavior Research.

Publication Date

July 1, 2024

Author(s)

G Bella, Elisa Borowski, Amanda Stathopoulos
Suggested Citation
G Bella, Elisa Borowski and A Stathopoulos (2024) “Leveraging Food Delivery Programs as a Community Resilience Resource: A Demand-Driven Spatial and Temporal Analysis of Need”. 17th International Conference on Travel Behavior Research..

published journal article

Information presentation in decision and risk analysis: Answered, partly answered, and unanswered questions. Information Presentation in Decision and Risk Analysis

Risk Analysis

Publication Date

September 1, 2016
Suggested Citation
L. Robin Keller and Yitong Wang (2016) “Information presentation in decision and risk analysis: Answered, partly answered, and unanswered questions. Information Presentation in Decision and Risk Analysis”, Risk Analysis, 37(6), pp. 1132–1145. Available at: 10.1111/risa.12697.

conference paper

Method for creating a real-time distributed travel history database - Persistent traffic cookies project

Travel survey methods, information technology, and geospatial data

Publication Date

January 1, 2006

Abstract

A novel distributed method for estimating a trip table in real time is described. The system is called “persistent traffic cookies” by analogy with the use of cookies by web servers to keep track of the current state of web browsers navigating a web site. The method uses traffic cookies placed on in-vehicle computers to maintain the state (current trip) of vehicles moving through the system. These cookies are persistent from day to day; taken together, they form a complete travel history for a traveler or vehicle. The method leverages the vehicles to store their own travel data and then physically do carry those data around the network. Advantages include scalability in both storage and computational effort as well as the unique ability to incorporate the travel behavior of individuals into real-time traffic predictions. A small-scale simulation is presented to illustrate the concept and its potential applications.

Suggested Citation
James E. Marca, Craig R. Rindt and R. Jayakrishnan (2006) “Method for creating a real-time distributed travel history database - Persistent traffic cookies project”, in Travel survey methods, information technology, and geospatial data. NATL ACAD SCI, pp. 69–77.

published journal article

Field Operational Test of Integrated Freeway Ramp Metering/Arterial Adaptive Signal Control: Lessons Learned in Irvine, California

Transportation Research Record: Journal of the Transportation Research Board

Publication Date

January 1, 2002

Author(s)

C. Arthur MacCarley, Steve Mattingly, Michael McNally, Daniel Mezger, James Moore

Abstract

A systematic evaluation of the performance and effectiveness of a field operational test (FOT) of an integrated corridor-level adaptive control system was attempted from fall 1994 through spring 1999 in Irvine, California. The FOT was conducted by a consortium consisting of the California Department of Transportation (Caltrans), the city of Irvine, and two private-sector consultants—National Engineering Technologies Corporation and Farradyne Systems, Inc., a division of Parsons Brinckerhoff—with the city of Irvine as the lead agency. The FOT was a cost-share funded by FHWA as part of the Intelligent Vehicle Highway System Field Operational Test Program. The FOT involves an integrated advanced transportation management system, which extends the capabilities of existing traffic management systems in the city of Irvine and in Caltrans District 12. The evaluation originally entailed both a technical performance assessment and a comprehensive institutional analysis. This report of the Irvine FOT does not constitute a technical evaluation because of the failure of any of the planned technologies to be successfully implemented in the field. Because of the extended time frame associated with the project and the significant range of technical and institutional issues associated with the development and eventual failure of the FOT, a summary of project development, institutional barriers, and lessons learned is provided.

Suggested Citation
C. Arthur MacCarley, Stephen P. Mattingly, Michael G. McNally, Daniel Mezger and James Moore (2002) “Field Operational Test of Integrated Freeway Ramp Metering/Arterial Adaptive Signal Control: Lessons Learned in Irvine, California”, Transportation Research Record: Journal of the Transportation Research Board, 1811(1), pp. 76–83. Available at: 10.3141/1811-09.

published journal article

Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System

JMIR Medical Informatics

Publication Date

March 1, 2023

Author(s)

Jeff Slezak, David Sacks, Vicki Chiu, Chantal Avila, Nehaa Khadka, Jiu-Chiuan Chen, Jun Wu, Darios Getahun

Abstract

Background: The accuracy of electronic health records (EHRs) for identifying postpartum depression (PPD) is not well studied. Objective: This study aims to evaluate the accuracy of PPD reporting in EHRs and compare the quality of PPD data collected before and after the implementation of the International Classification of Diseases, Tenth Revision (ICD-10) coding in the health care system. Methods: Information on PPD was extracted from a random sample of 400 eligible Kaiser Permanente Southern California patients’ EHRs. Clinical diagnosis codes and pharmacy records were abstracted for two time periods: January 1, 2012, through December 31, 2014 (International Classification of Diseases, Ninth Revision [ICD-9] period), and January 1, 2017, through December 31, 2019 (ICD-10 period). Manual chart reviews of clinical records for PPD were considered the gold standard and were compared with corresponding electronically coded diagnosis and pharmacy records using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Kappa statistic was calculated to measure agreement. Results: Overall agreement between the identification of depression using combined diagnosis codes and pharmacy records with that of medical record review was strong (κ=0.85, sensitivity 98.3%, specificity 83.3%, PPV 93.7%, NPV 95.0%). Using only diagnosis codes resulted in much lower sensitivity (65.4%) and NPV (50.5%) but good specificity (88.6%) and PPV (93.5%). Separately, examining agreement between chart review and electronic coding among diagnosis codes and pharmacy records showed sensitivity, specificity, and NPV higher with prescription use records than with clinical diagnosis coding for PPD, 96.5% versus 72.0%, 96.5% versus 65.0%, and 96.5% versus 65.0%, respectively. There was no notable difference in agreement between ICD-9 (overall κ=0.86) and ICD-10 (overall κ=0.83) coding periods. Conclusions: PPD is not reliably captured in the clinical diagnosis coding of EHRs. The accuracy of PPD identification can be improved by supplementing clinical diagnosis with pharmacy use records. The completeness of PPD data remained unchanged after the implementation of the ICD-10 diagnosis coding.

Suggested Citation
Jeff Slezak, David Sacks, Vicki Chiu, Chantal Avila, Nehaa Khadka, Jiu-Chiuan Chen, Jun Wu and Darios Getahun (2023) “Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System”, JMIR Medical Informatics, 11(1), p. e43005. Available at: 10.2196/43005.