Relating Land Use and Transport Modeling with Transportation Asset Management

Increasing computing capacity has made possible the use of advanced simulation and optimization methods to solve complex problems in transportation and urban planning. Methods such as linear programming and heuristic optimization have made it possible to find the most cost-effective solution for allocating resources among competing alternatives. Agent based approaches and regional econometric models have succeeded to simulate urban development, economic growth and their impacts across modes of transportation. This paper examines the advantages of incorporating Land Use and Transport Modeling into Asset Management and presents a framework for accomplishing such an objective; especially for timing maintenance, rehabilitation and capital projects to improve safety, mobility and condition. It suggests that decisions for scheduling rehabilitation of existing links and construction of new projects should be based on user impacts and expected gains in terms of regional economic benefits.