01340093

Component

https://doi.org/10.3141/2263-19

http://scholar.google.com...Peng&publication_year=2011

Climate change is attracting increasing attention from transportation planners, engineers, and decision makers. As a result of climate change, sea level rise is rapidly becoming a major concern, especially for coastal regions. This paper develops an accessibility-based process to analyze transportation network vulnerability to quantify networkwide vulnerability and to identify the most vulnerable regions under different scenarios of sea level rise. The accessibility reduction rate before and after inundation is calculated to measure the potential consequences. The probability of different sea level rise scenarios—together with the overall accessibility reduction—contributes to the overall vulnerability of the transportation network. Most notably, the traffic analysis zones with the most accessibility reduction are considered the most vulnerable areas. This methodology is applied to the south Miami, Florida, road network under two sea level rise scenarios for 2060. The authors estimated the extent of road network vulnerability and accessibility reduction of individual traffic analysis zones for the two scenarios. The results show an almost 100% accessibility reduction for traffic analysis zones with all roads inundated and as high as 30% accessibility reduction in zones with some or no roads directly affected. This information can help local transportation planners, engineers, and decision makers identify the most vulnerable areas and transportation facilities resulting from sea level rise so as to make better and more informed decisions about adaptation planning and retrofitting.

01365004

11-3568

English

pp 174-181

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309223034

Print

Figures; Maps; References (26) ; Tables (2)

Accessibility; Climate change; Coastal zone management; Decision making; Environmental impacts; Risk assessment; Sea level; Traffic analysis zones; Transportation planning

Road networks

Miami (Florida)

Environment; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB

Feb 17 2011 6:34PM

• Adaptive Traffic Control for Large-Scale Dynamic Traffic Assignment Applications
• Application of Discrete Fourier Transform to Find Reliable Shortest Paths
• Bi-Level Optimization Model for Public Transportation Network Redesign Problem: Accounting for Equity Issues
• Capacitated-Vehicle Routing Problem with Backhauls on Trees: Model, Properties, Formulation, and Algorithm
• Centralized Time-Dependent Multiple-Carrier Collaboration Problem for Less-Than-Truckload Carriers
• Comparison of Multiobjective Evolutionary Algorithms for Optimization of Externalities by Using Dynamic Traffic Management Measures
• Computing Individual Path Marginal Cost in Networks with Queue Spillbacks
• Day-to-Day Dynamic Model in Discrete–Continuum Transportation Networks
• Disaggregate Multimodal Travel Demand Modeling Based on Road Pricing and Access to Transit
• Distribution and Assignment of Compulsory and Discretionary Traffic
• Efficient Methodology for Benchmarking Dynamic Origin–Destination Demand Estimation Methods
• Many-to-Many Game-Theoretic Approach for the Measurement of Transportation Network Vulnerability
• Methodology for Locating Link Count Sensors That Accounts for Reliability of Prior Estimates from Origin–Destination Matrices
• Model of Traffic Flow Capacity Constraint Through Nodes for Dynamic Network Loading with Queue Spillback
• New Gradient Approximation Method for Dynamic Origin–Destination Matrix Estimation on Congested Networks
• Select Zone Analysis for Traffic Impact Studies
• Time-Dependent Origin–Destination Demand Estimation: Challenges and Methods for Large-Scale Networks with Multiple Vehicle Classes
• Transit Stop-Level Origin–Destination Estimation Through Use of Transit Schedule and Automated Data Collection System
• Travel Speed Forecasting by Means of Continuous Conditional Random Fields