Optimal pavement management: Resilient roads in support of emergency response of cyclone affected coastal areas

Amin, Shohel; Tamima, Umma; Amador-Jiménez, Luis

doi:10.1016/j.tra.2018.11.001

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…Road network helps to provide relief, rescue work, and other management activities before, during, and after the tropical cyclone events (Amin et al 2019). The data of the major roads were acquired from the LGED, and the spatial layer of road network was prepared using the Euclidean distance tool (Figure 5f).…”

Section: Criteria For Mitigation Capacitymentioning

confidence: 99%

Cyclone vulnerability assessment of the western coast of Bangladesh

Hoque

Pradhan

Ahmed

et al. 2021

Geomatics, Natural Hazards and Risk

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Section: Criteria For Mitigation Capacitymentioning

confidence: 99%

Cyclone vulnerability assessment of the western coast of Bangladesh

Hoque

Pradhan

Ahmed

et al. 2021

Geomatics, Natural Hazards and Risk

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“…In highlighting this association, we refer to the work of Vyas et al (2021), who proposed using a SWOT (strengths, weaknesses, opportunities, and threats) model and the fuzzy analytic hierarchy process to prioritize pavement sections and formulate a strategy to assess pavement condition for PM. Accordingly, "optimization" (6 times) and "multiobjective optimization" (5 times) are considered frequently for PM strategies, and as well as taking pavement performance as one of the objectives, the general optimization factors include cost (Yu et al, 2015(Yu et al, , 2019, toll pricing (Saha et al, 2014), budget (Amin et al, 2019;Yepes et al, 2016), the delay caused by the PM scheme (Ma et al, 2018), and environment (Giustozzi et al, 2012). Through modeling and optimization, strategies can be implemented more efficiently to improve pavement performance.…”

Section: Keyword Co-occurrence Networkmentioning

confidence: 99%

Scientometric Analysis of Pavement Maintenance: A Twenty-Year Review

Xue

Luo

et al. 2023

Journal of Civil Engineering and Management

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Pavement maintenance is widely thought to be critical for promoting sustainability, playing a pivotal role in sustainable and resilient transportation infrastructure for growth in economic development and improvements in social inclusion. It has attracted increasing attention from both academia and industry over the past 20 years. Although several literature reviews have been conducted, there is still a lack of systematic quantitative and visual investigation of the structure and evolution of knowledge in this field. To address this lack, reported here is a comprehensive and objective scientometric analysis to visualize the status quo of research areas regarding pavement maintenance. Focusing on 614 journal articles collected from the Web of Science for 2001–2020, key researchers within the field are identified, as are the key research institutions, key countries, and their interconnections, as well as keywords, evolution trends, key publications, and citation patterns, along with the extent to which these interact with each other in research networks. Based on the in-depth analysis, a knowledge roadmap is provided to inscribe how pavement maintenance-related research evolves over time, greatly contributing to the understanding of the underlying structure of pavement maintenance, and to highlight the identified current research challenges and future research trends, thus potentially benefiting the academic community and practice field on multiple themes of pavement maintenance. The results of this research are instructive, providing a broad overview and holistic thinking for researchers and practitioners with respect to pavement maintenance research, as well as facilitating further research and applications for both academia and industry in improving pavement maintenance for sustainability.

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“…Peeta et al [37] selected the links to invest under the limited budget, so as to maximize the post-disaster connectivity and minimize the travel costs between the origin and destination nodes. Amin et al [38] described an optimization model which has two objectives. The first objective is to minimize the costs which are used to maintain the road condition and the second objective is to minimize the pavement roughness and geophysical risks.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Model to Improve Network Reliability Level under Limited Budget by Considering Selection of Facilities and Total Service Distance in Rescue Operations

Wang

Filip

2022

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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Sudden disasters may damage facilities, transportation networks and other critical infrastructures, delay rescue and bring huge losses. Facility selection and reliable transportation network play an important role in emergency rescue. In this paper, the reliability level between two points in a network is defined from the point of view of minimal edge cut and path, respectively, and the equivalence of these two definitions is proven. Based on this, a multi-objective optimization model is proposed. The first goal of the model is to minimize the total service distance, and the second goal is to maximize the network reliability level. The original model is transformed into a model with three objectives, and the three objectives are combined into one objective by the method of weighting. The model is applied to a case, and the results are analyzed to verify the effectiveness of the model.

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Optimal pavement management: Resilient roads in support of emergency response of cyclone affected coastal areas

Cited by 11 publications

References 17 publications

Cyclone vulnerability assessment of the western coast of Bangladesh

Cyclone vulnerability assessment of the western coast of Bangladesh

Scientometric Analysis of Pavement Maintenance: A Twenty-Year Review

Multi-Objective Model to Improve Network Reliability Level under Limited Budget by Considering Selection of Facilities and Total Service Distance in Rescue Operations

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