Post-disaster infrastructure restoration: A comparison of events for future planning

Zorn, Conrad; Shamseldin, Asaad Y.

doi:10.1016/j.ijdrr.2015.04.004

Cited by 54 publications

(18 citation statements)

References 34 publications

(40 reference statements)

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“…Infrastructure resilience can be defined as the ability of the system to maintain or restore its service level even after a disturbance [6]. In other words, resilience is a characteristic that represents system performance under unusual conditions, recovery speed, and required actions for recovery to its original functional state [22]. It is a component importance measure related to system reliability and recovery after an attack or failure [12,19].…”

Section: Infrastructure Resiliencementioning

confidence: 99%

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Resilience-Based Recovery Assessments of Networked Infrastructure Systems under Localized Attacks

Afrin

Yodo

2019

Infrastructures

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To reduce unforeseen disaster risks, infrastructure systems are expected to be resilient. The impact of many natural disasters on networked infrastructures is often observed to follow a localized attack pattern. The localized attack can be demonstrated by the failures of a group of links concentrated in a particular geographical domain which result in adjacent isolated nodes. In this paper, a resilience-based recovery assessment framework is proposed. The framework aims to find the most effective recovery strategy when subjected to localized attacks. The proposed framework was implemented in a lattice network structure inspired by a water distribution network case study. Three different recovery strategies were studied with cost and time constraints incorporated: preferential recovery based on nodal weight (PRNW), periphery recovery (PR), and localized recovery (LR). The case study results indicated that LR could be selected as the most resilient and cost-effective recovery strategy. This paper hopes to aid in the decision-making process by providing a strategic baseline for finding an optimized recovery strategy for localized attack scenarios.

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Section: Infrastructure Resiliencementioning

confidence: 99%

“…Future planning is known to play an important aspect in postdisaster infrastructure recovery. Zorn and Shamseldin compared recovery strategies with different disaster types to produce restoration rates for future disasters [22]. To compliment an effective future planning, several resilience-based optimization models were also developed.…”

Section: Introductionmentioning

confidence: 99%

Resilience-Based Recovery Assessments of Networked Infrastructure Systems under Localized Attacks

Afrin

Yodo

2019

Infrastructures

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“…Akpabio, 2012;Dagdeviren & Robertson, 2009;de Sadeleer, 2002;Ersel, 2015;Evans et al, 2009;Mader, 2012;Mathew et al, 2009;Poulos & Whittington, 2000;USAID Egypt, 2015 Principles for addressing the indirect drivers Capacity building, poverty eradication and equity and subsidiarity can address economic drivers like insufficient or poorly targeted funds and inefficient tariff collection system, by harnessing the capacities of the poor, improving their access to assets and resources for sanitation and other basic needs, and improving their participation in the governance process, respectively (COHRE et al, 2008;Kenny & Clarke, 2010;USAID Egypt, 2015). Capacity building can also address national poverty, where local resources, including knowledge and skills, are adapted to meet the sanitation needs of the population rather than relying on predetermined technocratic solutions that may be unaffordable given the national GDP (Zorn & Shamseldin, 2015).…”

Section: Principles For Addressing the Direct Driversmentioning

confidence: 99%

“…I further elaborate on addressing the remaining five indirect drivers which are not covered by humanitarian assistance and protection principles (including huge foreign debts; sanctions; insecurity, conflicts and poor social cohesion; mass migration/urbanisation; and population density/growth), vis-à-vis HRS principles, in Chapter 9 (see 9.2). Source: Akpabio, 2012;de Sadeleer, 2002;Vietnam Red Cross, 2011;Kenny & Clarke, 2010;Munamati et al, 2016;Zorn & Shamseldin, 2015 …”

Section: Principles For Addressing the Direct Driversmentioning

confidence: 99%

Strengthening the Human Right to Sanitation as an Instrument for Inclusive Development

Obani¹

2018

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“…Namun demikian, wilayah dataran aluvial adalah wilayah yang rawan dan berpotensi untuk muncul bencana banjir. Kejadian bencana banjir menimbulkan dampak sosial ekonomi yang sangat besar bagi penduduk yang mengalaminya (Septriyadi and Hamhaber, 2013;Wesli et al, 2013;Zorn et al, 2015;Rachmawati and Budiarti, 2016). Sebagai contoh, pada tahun 2010 terjadi bencana banjir di Kelurahan Legok yang menggenangi sebanyak 662 rumah (Jambikota.go.id, 2015).…”

Section: Pendahuluanunclassified

Kerentanan Masyarakat Perkotaan terhadap Bahaya Banjir di Kelurahan Legok, Kecamatan Telanipura, Kota Jambi

Arif

Giyarsih

Mardiatna

2017

MGI

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Penelitian ini bertujuan untuk memetakan bencana banjir serta menganalisis kerentanan fisik dan sosial ekonomi masyarakat perkotaan terhadap bencana banjir di Kelurahan Legok, Kecamatan Telanipura, Kota Jambi. Penelitian ini menggunakan metode deskriptif kuantitatif. Data yang digunakan dalam penelitian ini terdiri atas data primer dan data sekunder. Data primer merupakan data yang diperoleh melalui observasi lapangan dan wawancara terstruktur dengan panduan kuesioner, sedangkan data sekunder merupakan data yang diperoleh dari dokumen-dokumen melalui instansi terkait yang berkompeten. Wawancara dilakukan terhadap 90 rumah tangga yang diambil dengan metode simple random sampling dari 476 populasi. Pengolahan dan analisis data dilakukan secara deskriptif kuantitatif dan dilengkapi dengan analisis spasial. Hasil penelitian menunjukkan bahwa berdasarkan hasil interpolasi kedalaman banjir tahun 2004 dapat diketahui bahwa sebagian besar wilayah penelitian terkena dampak banjir dengan kedalaman maksimum mencapai 3 meter di bagian timur wilayah penelitian. Fenomena ini disebabkan oleh beberapa faktor seperti kondisi topografi yang lebih rendah dibandingkan wilayah lainnya, terjadi penyempitan sungai dan kotornya saluran sungai sehingga menghambat air yang mengalir ke outlet utama. Penelitian ini juga menemukan bahwa tingkat kerentanan fisik tinggi ditemukan sebanyak 35 bangunan, kerentanan fisik sedang sebanyak 46 bangunan, dan kerentanan rendah sebanyak 9 bangunan. Tingkat kerentanan sedang hingga tinggi mendominasi wilayah penelitian karena jenis bangunan berupa bangunan non tembok. Temuan penelitian yang lain adalah kerentanan sosial ekonomi lebih tinggi ditemukan pada elemen tingkat pendidikan dengan sebagian besar tingkat berpendidikan rendah yaitu sekolah dasar (SD) (44,4%) dan elemen penduduk rentan karena usia lanjut dan anak-anak sebanyak 30,4%. (i.e., elementary school, 44.4%) and vulnerable groups (i.e., elderly and children, 30.4%). Kata-kata kunci :

show abstract

Post-disaster infrastructure restoration: A comparison of events for future planning

Cited by 54 publications

References 34 publications

Resilience-Based Recovery Assessments of Networked Infrastructure Systems under Localized Attacks

Resilience-Based Recovery Assessments of Networked Infrastructure Systems under Localized Attacks

Strengthening the Human Right to Sanitation as an Instrument for Inclusive Development

Kerentanan Masyarakat Perkotaan terhadap Bahaya Banjir di Kelurahan Legok, Kecamatan Telanipura, Kota Jambi

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