TRANSPORTATION RESILIENCE ARCHITECTURE: A FREMEWORK FOR ANALYSIS OF INFRASTRUCTURE, AGENCY AND USERS

How do some countries, or sectors of it, overcome potentially disastrous events while others fail at it? The answer lies on the concept of resilience, and its importance grows as our environment’s deterioration escalates, limiting the access to economic, social, and natural resources. This study evaluates resilience from a transportation perspective and defines it as “the ability for the system to maintain its demonstrated level of service or to restore itself to that level of service in a specified timeframe” (Heaslip, Louisell, & Collura, 2009). The literature shows that previous evaluation approaches usually do not directly integrate all perspectives of a transportation system. In this manner, this study introduces the concept of Transportation Resilience Architecture (TRA) as a framework for evaluating resilience of a transportation system through the cumulative effect of a system’s Infrastructure, Agency and User layer. This research introduces three quantitative methodologies as a way to evaluate resilience through TRA. For Infrastructure, a practical tool for measuring the level of accessibility to “safe zones” is presented, which takes advantage of the logsum measure resulting from Statewide Transportation Models. Results from the two locations analyzed (Frederick, MD and Anacostia, D.C.) suggest a positive correlation between income and accessibility. For Agency, metrics collected through a thorough literature review where combined with survey data to develop an evaluation framework based on Fuzzy Algorithms that yields to an index. The end product highlights the importance of interoperability as a disaster preparedness and response enhancing practice. Finally, for User, a dynamic discrete choice model was adapted to evaluate evacuation behavior, taking into account the disaster’s characteristics and the population’s expectations of them—a first from an evacuation perspective. The proposed framework is estimated using SP evacuation data collected on Louisiana residents. The result indicates that the dynamic discrete choice model excels in incorporating demographic information of respondents, a key input in policy evaluation, and yields significantly more accurate evacuation percentages per forecast

Phase 2 Outreach Plan- Buffalo, NY ITS4US Deployment Project

693JJ321C000005The Buffalo NY ITS4US Deployment Project seeks to improve mobility to, from, and within the Buffalo Niagara Medical Campus by deploying new and advanced technologies with a focus on addressing existing mobility and accessibility challenges. Examples of the technologies to be deployed are electric and self-driving shuttles, a trip planning app that is customized for accessible travel, intersections that use tactile and mobile technologies to enable travelers with disabilities to navigate intersections, and Smart Infrastructure to support outdoor and indoor wayfinding. The deployment geography includes the 120-acre Medical Campus and surrounding neighborhoods with a focus on three nearby neighborhoods (Fruit Belt, Masten Park, and Allentown) with underserved populations (low income, vision loss, deaf or hard of hearing, physical disabilities (including wheeled mobility device users) and older adults). This document is the Outreach Plan for Phase 2 of the project, which identifies the outreach efforts this project will perform to promote and ensure stakeholder engagement

Phase 1 Outreach Plan- Buffalo, NY ITS4US Deployment Project

693JJ321C000005The Buffalo NY ITS4US Deployment Project seeks to improve mobility to, from, and within the Buffalo Niagara Medical Campus by deploying new and advanced technologies with a focus on addressing existing mobility and accessibility challenges. Examples of the technologies to be deployed are electric and self-driving shuttles, a trip planning app that is customized for accessible travel, intersections that use tactile and mobile technologies to enable travelers with disabilities to navigate intersections, and Smart Infrastructure to support outdoor and indoor wayfinding. The deployment geography includes the 120-acre Medical Campus and surrounding neighborhoods with a focus on three nearby neighborhoods (Fruit Belt, Masten Park, and Allentown) with underserved populations (low income, vision loss, deaf or hard of hearing, physical disabilities (including wheeled mobility device users) and older adults). This document is the Outreach Plan, which identifies the outreach efforts this pilot will perform to promote and ensure stakeholder engagement

Transportation Network Resiliency: A Fuzzy Systems Approach

Every day the dependence on transportation grows as local, regional, national, and international independence increases. Resilient transportation systems are needed to secure the highest possible level of service during disruptive events, including natural and man-made disasters. Because of limited resources, decision makers need guidance on how, when, and where to invest to improve resiliency of their networks. The research objective is to develop a method to assess and quantify resiliency, at pre-event conditions, using a fuzzy inference approach. This research expands previous work, refining key variable definitions, adjusting model interactions, and increasing transparency between metrics. This thesis presents the method and provides an illustrative example of the methodology using the Dominican Republic as a case study. The example explains how a transportation network responds to a disruptive event and how specific investments can increase resiliency of the network. The result of this research is a quantitative basis for decision makers to conduct cost-benefit analysis of resiliency increasing projects

Transportation needs of low income population: a policy analysis for the Washington D.C. metropolitan region

Public transportation is part of the economic and social fabric of metropolitan areas, especially to low income individuals, whom are often totally dependent on this service for their daily activities. The role that transit plays on the connection between residential locations and employment opportunities is crucial in creating and implementing programs that will improve and maintain transit and vehicle ownership options viable for vulnerable segments of metropolitan residents. This study proposes the use of the logsum measure obtained from transportation demand models to assess the accessibility of a target population. In this sense, the Maryland State Travel model is used to evaluate the Washington Metropolitan area. This paper analyzes the socio-demographic characteristics of low income individuals, job availability, travel patterns and trip chaining and evaluates policies aiming at improving accessibility by car and public transport within the study area. The results show that policies promoting investment on public transportation would yield higher benefits to the low income population when compared to the ones that promote lowering vehicle operational cost. Interestingly, the results also highlight the fact that extremely low income households receive almost no benefit from these incentives, indicating that reasons other than lack of transportation means might be hindering them to reach job opportunities

An Integrated System Model for Evaluating the Impact of the Dynamic ICC Toll Policy on the Regional Network Mobility AN INTEGRATED SYSTEM MODEL FOR EVALUATING THE IMPACT OF THE DYNAMIC ICC TOLL POLICY ON THE REGIONAL NETWORK MOBILITY An Integrated System

Abstract Road pricing has been advocated as an efficient travel demand management to alleviate congestion since the seminal work b

Connected Vehicle Pilot Deployment Program Phase 4: System Requirements Specification (SyRS) \u2013 WYDOT for C-V2X Conversion

DTFH6115C00038The Wyoming Department of Transportation\u2019s (WYDOT) Connected Vehicle (CV) Pilot Deployment Program is intended to develop a suite of applications that utilize vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) communication technology to reduce the impact of adverse weather on truck travel in the I-80 corridor. These applications support a flexible range of services from advisories, roadside alerts, parking notifications and dynamic travel guidance. Information from these applications are made available directly to the equipped fleets or through data connections to fleet management centers (who will then communicate it to their trucks using their own systems). The pilot will be conducted in three Phases. Phase I includes the planning for the CV pilot including the concept of ign, development, and testing phase. Phase III includes a l-world demonstration of the applications developed as part of this pilot

Connected Vehicle Pilot Deployment Program Phase 4- Concept of Operations (ConOps) \u2013 ICF/Wyoming [Title from Cover]

DTFH6115C00038The Wyoming Department of Transportation\u2019s (WYDOT) Connected Vehicle (CV) Pilot Deployment Program is intended to develop a suite of applications that utilize vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) communication technology to reduce the impact of adverse weather on truck travel in the I-80 corridor. These applications support a flexible range of services from advisories, roadside alerts, parking notifications and dynamic travel guidance. Information from these applications are made available directly to the equipped fleets or through data connections to fleet management centers (who will then communicate it to their trucks using their own systems). The pilot will be conducted in three Phases. Phase 1 includes the planning for the CV pilot including the concept of operations development. Phase 2 is the design, development, and testing phase. Phase 3 includes a real-world demonstration of the applications developed as part of this pilot)

Connected Vehicle Pilot Final System Performance Measurement and Evaluation \u2013 WYDOT CV Pilot

DTFH6116RA00007The Wyoming Department of Transportation\u2019s (WYDOT) Connected Vehicle (CV) Pilot Deployment Program is intended to develop a suite of applications that utilize vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) communication technology to reduce the impact of adverse weather on truck travel in the I-80 corridor. These applications support a flexible range of services from advisories, roadside alerts, parking notifications and dynamic travel guidance. Information from these applications is made available directly to the equipped fleets or through data connections to fleet management centers (who will then communicate it to their trucks using their own systems). The pilot is conducted in three Phases. Phase 1 includes the planning for the CV pilot including the concept of operations development. Phase 2 is the design, development, and testing phase. Phase 3 includes a real-world demonstration of the applications developed as part of this pilot. This document describes the performance assessment efforts and summarizes the results from operations during Phase