01124525

Component

https://doi.org/10.3141/2137-09

http://scholar.google.com...ouri&publication_year=2009

Optimal deployment of limited emergency response service (ERS) units in a metropolitan area is of interest to public agencies. The limited emergency units not only have to respond to the demand for service by citizens and businesses but also have to cover critical infrastructures (CIs). The paper formulates an optimization model to allocate different types of ERS units among their candidate base stations. The allocation of units must ensure maximum coverage to CIs, subject to the capacities of the base stations, service standard in terms of time to reach the CIs, and the availability of the ERS units (when there are other competing demands for services). Unlike past models, the modeling approach here accounts for the fluctuation of travel time and demand frequency at different time periods of a typical day. The applicability of the model has been demonstrated in a case study in the city of El Paso, Texas, which allocates 45 firefighting units and 23 ambulances among 34 active fire stations to cover 138 critical transportation infrastructures, hospitals, and schools.

01149179

09-0070

English

pp 74-84

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309142700

Print

Figures (3) ; References (15) ; Tables (4)

Ambulances; Case studies; Deployment; Disaster preparedness; Disasters and emergency operations; Emergency management; Emergency vehicles; Fire fighting equipment; Hospitals; Metropolitan areas; Periods of the day; Resource allocation; Schools; Travel time

Critical infrastructure; Service demand; Transportation infrastructure

El Paso (Texas)

Highways; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 30 2009 4:20PM

• Applicability of FHWA Crash Prediction Module to Selecting Candidate Locations for Safety Audits of Two-Lane Rural Highways
• Development of a Strategic Hurricane Evacuation–Dynamic Traffic Assignment Model for the Houston, Texas, Region
• Effective Usage of Harmful Events Data in Transportation Safety Management
• Enhancing the Safety of Pedestrians During Emergency Egress: Can We Learn from Biological Entities?
• Evaluation of Relocation Strategies for Emergency Medical Service Vehicles
• Field Studies of Operations and Conflicts in Drop-Off–Pick-Up Zones
• Improving Evacuation Planning with Sensible Measure of Effectiveness Choices: Case Study
• Integrating Measures for Business Continuity and Transportation Demand Management to Ensure Regional Emergency Preparedness and Mobility
• National Traffic Safety Index
• Prioritizing Patients for Evacuation from a Health-Care Facility
• Rural Preparedness for Traffic Control in Agricultural Emergencies
• School Bus Routing Problem in Large-Scale Networks: New Approach Utilizing Tabu Search on a Case Study in Developing Countries
• Security and Mobility of Intermodal Freight Networks: Evaluation Framework for Simulation and Assignment
• Understanding and Mapping Elements of Urban Form That Affect Children's Ability to Walk and Bicycle to School: Case Study of Two Tampa Bay, Florida, Counties
• Vulnerability Assessment Methodology for Swiss Road Network