2015 Informs Annual Meeting

WB35

INFORMS Philadelphia – 2015

WB35 35-Room 412, Marriott Urban Planning Contributed Session

WB36 36-Room 413, Marriott Humanitarian Applications IV Sponsor: Public Sector OR Sponsored Session

Chair: Richard Zapata, Universidad del Desarrollo, Avda Sanhueza 1750, Concepcion, Ch, 4040418, Chile, rlzapatag@gmail.com 1 - Parking Equilibrium Model with Urban Truck Tour Deliveries Joseph Chow, Assistant Professor, Ryerson University, 350 Victoria Street, MON 407, Toronto, ON, M5B 2K3, Canada, joseph.chow@ryerson.ca, Ahmed Amer Arnott and Inci’s (2006) parking equilibrium model is extended to include urban truck tour deliveries and corresponding variables: double-parking stock, delivery duration, number of stops on tour, tour length, and fleet size. Effects of double- parking on traffic flow are estimated using AIMSUN microsimulation. The model is applied to downtown Toronto to provide policy recommendations including pricing, scheduling, geometric design, and zoning. 2 - Urban Freight Distribution with Batch Arrivals Marco Schutten, Associate Professor, University of Twente, P.O. Box 217, Enschede, 7500 AE, Netherlands, m.schutten@utwente.nl, Martijn Mes, Wouter Van Heeswijk We study a dispatch problem with uncontrolled batch arrivals of LTL orders at an urban consolidation center. The specific order properties may be highly varying in city logistics. Directly distributing an incoming batch may yield high costs. Instead, the hub operator may decide to wait for incoming batches that allow for more efficient distribution. We show that an ADP approach closely approximates the exact values for small instances, and outperforms two benchmark policies for larger instances. 3 - Evaluating Overtopping Risks of Reservoir Systems Based on Rare Event Simulation Qianli Deng, University of Maryland, College Park, 0147H Engineering Lab Building, College Park, MD, 20742, United States of America, dqianli@umd.edu, Gregory B. Baecher Overtopping risks of reservoir systems, in most cases, have very small probabilities of occurring. Estimation with crude Monte-Carlo simulation requires a prohibitively large numbers of trials. Otherwise, estimation would not be accurate. Computational expense served as one of the prohibitive reasons that simulation has not been widely applied to reservoir operation. A rare event simulation-based approach is thus proposed in this study to address the overtopping risks of reservoir systems. 4 - Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product Ruben Yie Pinedo, Full Time Professor, Universidad del Norte, This paper analyzes the effect of infrastructure investment and freight accessibility on Gross Domestic Product (GDP) by using a non-linear regression approach. We use accessibility measurements to test improvements in transportation costs as road networks are improved. Our results show that GDP significantly benefits from (i) higher investments in infrastructure and better accessibility, and (ii) from multimodal transportation compared to pure road transportation. 5 - Integrating Land Use and Urban Water Management through Mathematical Models Richard Zapata, Universidad del Desarrollo, Avda Sanhueza 1750, Concepcion, CH, 4040418, Chile, rlzapatag@gmail.com, Cristian Palma The urban land use planning and the water resources management are not always integrated. This lack of integration usually translates into over cost for users and even no chance for companies to provide the service in some areas. In this talk, we describe how we estimate the water demand by land use, and how we integrate this demand with the water supply and the land use planning process. Km5 via Puerto Colombia, Barranquilla, AT, Colombia, ryie@uninorte.edu.co, Maria Saltarin, Carlos Paternina, Julian Arellana

Chair: Tina Wakolbinger, Professor, Vienna University of Economics and Business (WU), Welthandelsplatz 1, Vienna, 1020, Austria, tina.wakolbinger@wu.ac.at 1 - Data Driven Resource Allocation Decisions: Fema’s Disaster Recovery Centers Julia Moline, FEMA, FEMA, Washington, DC, United States of America, julia.moline@fema.dhs.gov, Erica Gralla, Jarrod Goentzel We create a data-driven decision process for Federal Emergency Management Agency’s (FEMA) Disaster Recovery Centers (DRCs) program. We develop thresholds and optimization models to dynamically locate, size, and staff DRCs. We apply the process to recent disaster response scenarios and show that FEMA could have reduced cost significantly while providing sufficient capacity. 2 - Humanitarian Logistics: Pre-Positioning of Relief Items in Istanbul Serhan Duran, Associate Professor, Middle East Technical University, ODTU Endustri Muhendisligi Bolumu, Ankara, 06800, Turkey, sduran@metu.edu.tr, Sinem Konu, Ertan Yakici In this study, we investigate pre-positioning of relief items while considering the transportation vulnerability effect of a potential earthquake in Istanbul and suggest disaster response facility locations accordingly, utilizing the data and information about Istanbul from the JICA Report. The model considers the effects of combined transportation mean vulnerability, warehouse building vulnerability, demand intensity and distance traveled based on warehouse location decision. 3 - Outsourcing Humanitarian Logistics Activities to Commercial Logistics Providers Ioanna Falagara Sigala, Research Fellow, Vienna University of Economics and Business (WU), Welthandelsplatz 1, Vienna, 1020, Austria, ioanna.falagara.sigala@wu.ac.at, Tina Wakolbinger This study explores the potential of outsourcing humanitarian logistics activities to commercial logistics providers. We follow a qualitative approach by interviewing both private and humanitarian organizations to identify the current status and to determine the potential of future cooperation between those two sectors. We integrate both Transaction Cost and Resource-Based View theories to suggest propositions leading to the construction of a framework for outsourcing in the humanitarian sector. WB37 37-Room 414, Marriott Modeling and Optimization of Health Care Processes Contributed Session Chair: Yifeng Yu, PhD Student, Penn State University, 445 Waupelani Dr, Apt A14, State College, PA, 16801, United States of America, yyf870314@gmail.com 1 - Monitoring Hip-Surgery Quality by Risk-Adjusted Control Charts Yifeng Yu, PhD Student, Penn State University, 445 Waupelani Dr, Apt. A14, State College, PA, 16801, United States of America, yyf870314@gmail.com, Harriet Nembhard Risk-adjusted statistical process control charts are used for real-time monitoring of the readmission rate after hip surgery. An alarm occurs if sufficient evidence shows that there is a change in readmission rate. A logistic regression model is incorporated to determine the pre-surgery risk of each patient. The difference in pre-surgery risk is revealed in the risk-adjusted control statistics, thus changes in the hip-surgery quality can be detected. 2 - Improving Patient Care using Integrated Health Monitoring Systems for Diabetes and Hypertension Saligrama Agnihothri, Professor, Binghamton University, Binghamton University, Binghatmon, NY, 13902, United States of America, Agni@binghamton.edu, Anu Banerjee Patient care can be improved using smart technology in home health monitoring systems. We implement a smart mobile application integrating 1200 patients and multiple providers to improve communication, change treatment plans, and reduce office visits. We provide preliminary data analysis for the vital signs and identify stakeholder’s impact.

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