Abstract
A 2017 survey of the state of practice on how agencies are developing their risk-based asset management plan shows that state highway agencies are increasingly adapting the way they do business to include explicit considerations of risks. At the moment, this consideration of risk is not linked to data. Hence, there is a lack of integration of risk management in driving strategic cross-asset programming and decision-making. This paper proposes and implements a risk management database framework as the missing piece in the full implementation of a risk-based transportation asset management program. This risk management database framework utilizes Geographic Information Systems (GIS) and Application Programming Interface (API) to implement a risk management database of all the relevant variables an agency needs for risk modeling to improve risk monitoring, risk register updates, and decision-making. This approach allows the use of existing enterprise as well as legacy data collection systems, which eliminates the need for any capital-intensive implementation cost. Furthermore, it provides transportation agencies with the ability to track risk in quantitative terms, a framework for prioritizing risk, and the development of an actionable plan for risk mitigation. In this paper, the implementation of the fully integrated GIS-enabled risk management database employs the Iowa department of transportation (DOT) data and risk register.
Highlights
Transportation is the mainstay of economic activity, connecting producers with supply chains; customers with products and tourism; and people with their workplaces, homes, and communities across both urban and rural areas
MAP-21 requires that each state must have a risk-based Transportation Asset Management (TAM) plan in place to preserve the condition of its assets and improve the performance of the National Highway System
In a 2017 national scan of how state department of transportation (DOT) were integrating risk management in their TAM, it was found that most agencies were using risk registers for their risk management [12]
Summary
Transportation is the mainstay of economic activity, connecting producers with supply chains; customers with products and tourism; and people with their workplaces, homes, and communities across both urban and rural areas. State DOTs and other transportation agencies collect, exchange, manage, and use substantial quantities of data and information for project development and the subsequent management of the physical assets for which they are responsible. These agencies devote considerable resources to data collection and storage and often face challenges such as duplicating effort or gaps in data collected by various organizational units; ensuring that data sources are well documented and data are current; and providing the various units responsible for the planning, design, construction, operation, and maintenance of system assets with access to reliable and current information for decision-making. Fragmented DOT business practices and the decades-long processes of asset development and life-cycle service have produced disparate data sets that are poorly suited to effective long-term system asset and risk management [2,8,9]
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