Prioritizing transportation network recovery using a resilience measure

Liu, YuanChi; McNeil, Sue; Hackl, Jürgen; Adey, Bryan T.

doi:10.1080/23789689.2019.1708180

Cited by 33 publications

(12 citation statements)

References 15 publications

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“…It is measured by the number of travels (movements) made from one location to another as a result of the high level of accessibility between these sites. That is, there is a one-way relationship between accessibility and mobility, implying that the higher the accessibility, the greater the mobility of people, cars, or other objects moving from one location to another [37].…”

Section: Mobilitymentioning

confidence: 99%

Investigating Local Resources and Wisdom in Partner Regions Surrounding the Nation's Capital for Road Network Development

Junaidi

Adisasmita²,

Pallu³

et al. 2022

Civ Eng J

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The development of the New Indonesia’s Capital, called the IKN, will undoubtedly draw many people to come and engage in the IKN region, although not inside the IKN area, since the development is confined to a small area with smart city, blue city, and forest city ideas merged. Restrictions on mobility inside the IKN area will almost definitely create issues for road network connectivity across IKN's surrounding areas, so it was deemed essential to have a road network development model that maintains IKN as a limited area while also functioning as a catalyst for economic growth in partner areas. The focus of this research is to provide a model for developing a road network based on local wisdom and the resources of each partner region surrounding IKN. The method employed in this study is based on gathering secondary data of the surrounding areas, which has local resources and local wisdom. The resources and the local wisdom are considered a trip attractor. The IKN masterplan data was also employed in this study as the main subject. Principles and road network development theory were used to analyze the data. The findings of this research led to the development of a new road network in various regions, including Senoni, Gusig, and Tukuq. This road network is deemed necessary to be developed, due to its trip attraction potential. It is hoped that the implementation of these new road networks will also have positive impacts on the development of partner areas surrounding IKN. Doi: 10.28991/CEJ-2022-08-05-06 Full Text: PDF

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Section: Mobilitymentioning

confidence: 99%

Investigating Local Resources and Wisdom in Partner Regions Surrounding the Nation's Capital for Road Network Development

Junaidi

Adisasmita²,

Pallu³

et al. 2022

Civ Eng J

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“…When cross-city transportation network cannot resist external disturbances, cross-city transportation network absorbs the impacts of external disturbances [44,45]. After disturbances disappear, the cross-city transportation network recovers its system performance [46,47]. e above three stages, respectively, reflect the resistance ability, absorption ability, and recovery ability of the cross-city transportation network to external disturbances.…”

Section: Formation Path Of Cross-city Transportation Networkmentioning

confidence: 99%

Analyzing the Formation Mechanism of Cross-City Transportation Network Resilience

Wang

Xue

et al. 2021

Discrete Dynamics in Nature and Society

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The formation mechanism of cross-city transportation network resilience occupies an important position in cross-city transportation network resilience management. This study analyzes the constituent elements of the cross-city transportation network and their interrelationships, and the connotation of cross-city transportation network resilience is defined from the general meaning of system resilience. Combining with the connotation of cross-city transportation network resilience, the specific formation process of cross-city transportation network resilience is analyzed and summarized from three stages, including resisting disturbance, absorbing disturbance, and function recovery. Taking cross-city transportation network nodes and systems as specific objects, the static and dynamic formation path of cross-city transportation network resilience is condensed. Based on the standard linear solid model, a theoretical model is constructed and solved for revealing the formation mechanism of cross-city transportation network resilience. Finally, the theoretical model of cross-city transportation network resilience proposed in this study is used for analyzing the China railway network resilience.

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“…Non-resilient transportation infrastructure leads to significant economic loss, threatens society's health and well-being, and exacerbates the consequence of hazard exposure and vulnerability (Kurth et al 2020;Koks et al 2019). To increase resilience, developing reliable disaster recovery planning is essential to meet the restorative, rapidity, redundancy, and resourcefulness properties of resilient infrastructures (Bruneau et al 2003;Liu et al 2020). Post-disaster recovery planning of a transportation network is a fundamental characteristic for a disaster resilient community, usually formulated as a decision model to rank or optimize the order of links for recovery operations (Zhang et al 2017;Aydin et al 2018;Rouhanizadeh and Kermanshachi 2019).…”

Section: Knowledge Gaps and The Necessitymentioning

confidence: 99%

A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems

Zamanifar

Hartmann

2021

Environ Syst Decis

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This paper proposes a framework to systematically evaluate and select attributes of decision models used in disaster risk management. In doing so, we formalized the attribute selection process as a sequential screening-utility problem by formulating a prescriptive decision model. The aim is to assist decision-makers in producing a ranked list of attributes and selecting a set among them. We developed an evaluation process consisting of ten criteria in three sequential stages. We used a combination of three decision rules for the evaluation process, alongside mathematically integrated compensatory and non-compensatory techniques as the aggregation methods. We implemented the framework in the context of disaster resilient transportation network to investigate its performance and outcomes. Results show that the framework acted as an inclusive systematic decision aiding mechanism and promoted creative and collaborative decision-making. Preliminary investigations suggest the successful application of the framework in evaluating and selecting a tenable set of attributes. Further analyses are required to discuss the performance of the produced attributes. The properties of the resulting attributes and feedback of the users suggest the quality of outcomes compared to the retrospective attributes that were selected in an unaided selection process. Research and practice can use the framework to conduct a systematic problem-structuring phase of decision analysis and select an equitable set of decision attributes.

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Prioritizing transportation network recovery using a resilience measure

Cited by 33 publications

References 15 publications

Investigating Local Resources and Wisdom in Partner Regions Surrounding the Nation's Capital for Road Network Development

Investigating Local Resources and Wisdom in Partner Regions Surrounding the Nation's Capital for Road Network Development

Analyzing the Formation Mechanism of Cross-City Transportation Network Resilience

A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems

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