Optimizing highway reconstruction and rehabilitation projects

Orabi, Wallied

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Description

Title

Optimizing highway reconstruction and rehabilitation projects

Author(s)

Orabi, Wallied

Issue Date

2010-08-20T17:56:43Z

Director of Research (if dissertation) or Advisor (if thesis)

El-Rayes, Khaled A.

Doctoral Committee Chair(s)

Liu, Liang Y.

Committee Member(s)

• El-Rayes, Khaled A.
• Ouyang, Yanfeng
• El-Gohary, Nora

Department of Study

Civil & Environmental Eng

Discipline

Civil Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• Construction Management
• Transportation
• Natural Disasters
• Highway Construction
• Post-Disaster Reconstruction
• Highway Rehabilitation
• Optimization

Abstract

The nation’s transportation networks including its roads, highways and bridges are aging and deteriorating at an increasing and rapid rate. The vulnerability of these aging networks of roads and bridges is exacerbated when they are subjected to natural disasters such as earthquakes and hurricanes which often cause severe disruption of the level of service provided by these transportation networks. Significant financial and construction resources are needed to complete the highway reconstruction and rehabilitation projects required to repair these aging and damaged transportation networks and bringing them to acceptable levels. The lack of sufficient resources to complete these highway construction projects concurrently requires effective and efficient utilization of these limited financial and construction resources in order to satisfy multiple and often conflicting objectives. Accordingly, there is a pressing need for new decision support models that are capable of: (1) analyzing the impact of reconstruction/rehabilitation efforts on the performance of transportation networks; (2) optimizing post-disaster reconstruction efforts of damaged transportation networks in order to simultaneously minimize reconstruction costs and network service disruption; and (3) optimizing highway rehabilitation of deficient transportation networks in order identify optimal program(s) that maximize net societal benefits while minimizing the level of service disruption experienced by travelers during the construction efforts. First, a highway service disruption model is developed to support measuring and evaluating the expected disruption in the level of service provided by aging and damaged transportation networks during highway reconstruction and rehabilitation projects. The model considers the impact of construction projects and their dynamic nature on the functional performance of aging and damaged transportation networks during reconstruction and rehabilitation efforts. The capabilities of the developed model in assessing the service disruption in aging and damaged transportation networks, include: (1) considering the dynamic nature of construction operations and activities and identifying their expected impact on the functional performance of aging and damaged transportation networks during reconstruction and rehabilitation efforts; (2) accounting for the rationality of travelers in choosing which route/detour to use to reach their destinations; and (3) evaluating the overall loss/savings in network travel time of the aging and damaged transportation networks during highway reconstruction and rehabilitation efforts. These new and unique capabilities of the developed model should prove useful to decision makers and planners in departments of transportation (DOTs) and should contribute to planning and optimizing highway reconstruction and rehabilitation efforts. Second, resource utilization model and multi-objective optimization models are developed to enable an efficient and effective reconstruction process for damaged transportation networks in the aftermath of natural disasters. The developed models provide a number of new and unique capabilities in generating optimal tradeoffs between network service disruption and reconstruction cost. These capabilities include: (1) considering the impact of the limited availability of resources on scheduling the reconstruction efforts for damaged transportation networks; (2) evaluating the service disruption in the damaged transportation network during the reconstruction efforts; and (3) optimizing the utilization of reconstruction resources to minimize the network service disruption of damaged transportation networks while keeping the reconstruction costs to a minimum. These new and unique capabilities of the developed models should prove useful to decision makers and planners in emergency management agencies and should contribute to enhancing the planning of reconstruction efforts for damaged transportation networks after natural disasters. Third, a highway rehabilitation planning and optimization model is developed to enable efficient and effective rehabilitation of aging transportation networks. This model incorporates four new modules that provide new capabilities in generating optimal tradeoffs between maximizing net rehabilitation benefits and minimizing network service disruption. These capabilities are demonstrated in the ability of the developed rehabilitation planning and optimization model to consider a number of practical highway rehabilitation requirements, including: (1) considering the impact of the limited availability of funding on planning rehabilitation efforts for aging transportation networks; (2) evaluating the expected service disruption and road user savings during and after completion of rehabilitation efforts; (3) estimating the expected net benefits of rehabilitation programs; and (4) optimizing the allocation of financial resources to maximize net rehabilitation benefits and minimize network service disruption. These new and unique capabilities of the research developments presents in this chapter should prove useful to decision makers and planners in departments of transportation (DOTs) and should contribute to enhancing the planning of rehabilitation efforts for aging transportation networks. The main research developments of this study are expected to contribute to the advancement of current practices in highway construction planning and optimization and can lead to: (1) accelerating the completion of highway reconstruction and rehabilitation projects and minimizing the service disruption experienced by travelers during the construction work; (2) optimizing the allocation of limited budgets and financial resources to competing highway projects; and (3) improving the utilization efficiency of construction resources in highway projects and therefore increasing their productivity.

Graduation Semester

2010-08

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Copyright and License Information

Copyright 2010 Wallied Orabi

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