Journal: Journal of Infrastructure Systems

Abbreviation

J. Infrastruct. Syst.

Publisher

American Society of Civil Engineers

Journal Volumes

ISSN

1076-0342
1943-555X

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Publications 1 - 10 of 27
  • Resilience Evaluation Framework for Integrated Civil Infrastructure-Community Systems under Seismic Hazard
    Item type: Journal Article
    Sun, Li; Stojadinovic, Bozidar; Sansavini, Giovanni (2019)
    Journal of Infrastructure Systems
  • Algorithm for the planning of optimum highway work zones
    Item type: Journal Article
    Hajdin, Rade; Lindenmann, Hans Peter (2007)
    Journal of Infrastructure Systems
  • Simulation-Based Stress Tests: Integrated Simulation Approach for Assessing Resilience of Transport Systems under Multiple Stressors
    Item type: Journal Article
    Nasrazadani, Hossein; Adey, Bryan T.; Dorren, Luuk (2024)
    Journal of Infrastructure Systems
    A transportation system stress test is a set of one or more hypothetical scenarios designed to help determine if a transport system can continue to provide an acceptable level of service when subjected to one or more potentially disruptive events. Stress tests, if done well, enable policy makers, regulators, and network operators to assess the ability of transport systems to withstand and recover from potentially disruptive events, and modify the systems if necessary. Although work has been conducted on how to conduct high-level preliminary transportation stress tests, there has not yet been work conducted on how to conduct detailed quantitative simulation-based stress tests on transportation systems. This paper fills this gap by presenting both an approach to conduct simulation-based stress tests and example simulation-based stress tests for a transportation system subject to potentially disruptive hydrometeorological events. Three types of stress tests are conducted for the transportation system in the region of Chur, Switzerland, which is subject to heavy rainfalls that may result in floods and landslides. These include the stress caused by climate change leading to increasing the intensity of extreme rainfall events in the future, stress caused by uncertain future mobility behavior of people leading to excessive travel demand on the network, and stress caused by poor planning of the required resources for restoration interventions leading to having less resources for restoration than planned. It is argued that conducting such stress tests makes it clear to decision makers whether or not a transportation system is sufficiently resilient against various stressors, and if not, gives clear indications as to how it could be improved.
  • Simulation-Based Evaluation of Resilience-Enhancing Measures for Transportation Systems Subject to Hydrometeorological Hazard Events
    Item type: Journal Article
    Nasrazadani, Hossein; Adey, Bryan T.; Moghtadernejad, Saviz; et al. (2024)
    Journal of Infrastructure Systems
    This paper identifies the essential requirements for simulation-based approaches such that these approaches serve as effective decision support tools for evaluating the effectiveness of climate-adaptation measures that enhance the resilience of transport systems against hydrometeorological events. These requirements include the ability to capture the effect of different types of measures, the spatial and temporal possibilities of their execution, their aggregate effect when executed together, and the effect of uncertainties in their evaluation. A novel simulation-based approach that meets the identified requirements is presented, and its application in a case study is showcased. The presented approach uses a set of interacting probabilistic models to generate numerous scenarios, each representing chains of cascading events from the occurrence of a possible hazard event, the impact on the assets and the network, restoration of the infrastructure, and the temporal evolution of its service. The models enable capturing the effect of resilience-enhancing measures on the intensity of hazard events and their ensuing consequences. The case study includes a road system in Switzerland comprising 605 km of roads and 121 bridges and subject to rainfall events leading to flooding and landslide. Twenty-one portfolios of measures combining four specific types are considered, and their effect on resilience was evaluated. Those include flood protection walls, stormwater retention basins, raising road embankments, and temporary flood barriers. The proposed approach enables infrastructure managers to engage in an appropriate quantitative evaluation to better devise and plan measures with the aim of cost efficiently improving resilience.
  • Digitalizing the Determination of Railway Infrastructure Intervention Programs: A Network Optimization Model
    Item type: Journal Article
    Burkhalter, Marcel; Adey, Bryan T. (2022)
    Journal of Infrastructure Systems
    One area of railway infrastructure management that can benefit greatly from digitalization is the determination of optimal intervention programs, i.e., when, where, and which type of interventions are to be executed. The potential benefit is considerable because of the large variety of assets required for the infrastructure to function as intended, the interconnectedness of the assets, the extensive number of different types of possible interventions, and the wide range of service measures to consider when deciding between different intervention programs - all of which are difficult, if not impossible, to consider qualitatively. In this paper, a network flow optimization model is presented that determines the optimal intervention program considering different types of assets, interventions and service measures to execute the interventions, the dependencies between interventions, and the relation between interventions and service in the short and long term. The model is developed and used to determine the intervention program that maximizes the net benefit for a 17-km railway line over a 12-year planning period, divided into three four-year blocks. The example demonstrates that the model can be used to determine optimal intervention programs on real-world railway networks, taking into consideration the intervention costs and relevant measures of service, the interrelationships between the different assets, and multiple time periods. It also demonstrates that the model is a powerful management tool for leveraging the digitalization of railway infrastructure.
  • Prioritizing Road Network Restorative Interventions Using a Discrete Particle Swarm Optimization
    Item type: Journal Article
    Moghtadernejad, Saviz; Adey, Bryan Tyrone; Hackl, Jürgen (2022)
    Journal of Infrastructure Systems
    One of the main challenges in the postdisaster management of large transportation networks involves the determination of the priority and the level of service recovery for each damaged asset in the network. Presently, the application of metaheuristic algorithms in developing restoration programs is receiving increasing attention. These algorithms determine a good solution to minimize the consequences of extreme events on the network of study in a relatively short period of time. This paper investigates the suitability of a discrete particle swarm optimization (DPSO) algorithm in finding a good solution to a restoration model developed for minimizing the overall direct and indirect costs of postdisaster restorative interventions. This model can consider constraints and limitations on the available budget, work groups and equipment, as well as different levels and speeds of service recovery for assets per damage state, and the changes in the traffic flow as the restorative interventions are executed. Moreover, the model has the capacity to process complex networks; hence, it can be implemented in real-world postdisaster decision making related to the development of restoration programs. The results suggest that the DPSO algorithm is a suitable choice of optimization algorithm in situations where the number of damaged objects is medium to large.
  • Impact Assessment of Extreme Hydrometeorological Hazard Events on Road Networks
    Item type: Journal Article
    Lam, Juan Carlos; Hackl, Jürgen; Heitzler, Magnus; et al. (2020)
    Journal of Infrastructure Systems
  • Real-Time Seismic Damage Assessment of Various Bridge Types Using a Nonlinear Three-Stage Least Squares Approach
    Item type: Journal Article
    Androutselis, Thomas; Sarwar, Tawfiq; Eker, Ugur; et al. (2020)
    Journal of Infrastructure Systems
  • Determining an optimal set of work zones on large infrastructure networks in a GIS framework
    Item type: Journal Article
    Lethanh, Nam; Adey, Bryan T.; Burkhalter, Marcel (2018)
    Journal of Infrastructure Systems
  • Infrastructure Deterioration Prediction with a Poisson Hidden Markov Model on Time Series Data
    Item type: Journal Article
    Lethanh, Nam; Kaito, Kiyoyuki; Kobayashi, Kiyoshi (2015)
    Journal of Infrastructure Systems
Publications 1 - 10 of 27