Potential climate-change related vulnerabilities in Jakarta: Challenges and current status

Firman, Tommy; Surbakti, Indra M.; Idroes, Ichzar C.; Simarmata, Hendricus Andy

doi:10.1016/j.habitatint.2010.11.011

Cited by 119 publications

(72 citation statements)

References 14 publications

(9 reference statements)

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“…Scholars have proposed multiple conceptual frameworks to assess social vulnerability [33,34], among which, there are four famous frameworks: the Pressure-and-Release (PAR) framework, the Hazards-of-Place (HOP) framework, the Exposure-Sensitivity-Resilience (ESR) framework, and the Bogardi-Birkmann-Cardona (BBC) framework. The PAR framework shows the progression of vulnerability with three social components: root causes, dynamic pressures, and unsafe conditions; however, it does not consider exposure in the definition of vulnerability [35].…”

Section: Literature Review: Conceptual Basis and Evolution Of Vulneramentioning

confidence: 99%

A New Framework for Understanding Urban Social Vulnerability from a Network Perspective

Dou

Zhang

2017

Sustainability

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Rapid urbanization in China has strengthened the connection and cooperation among cities and has also led urban residents to be more vulnerable in adverse environmental conditions. Vulnerability research has been an important foundation in urban risk management. To make cities safe and resilient, it is also necessary to integrate the connection among cities into a vulnerability assessment. Therefore, this paper proposed a new conceptual framework for urban social vulnerability assessment based on network theory, where a new dimension of social vulnerability (connectivity) was added into the framework. Using attribute data, the traditional social vulnerability index of a city (SVI node ) was calculated via the projection pursuit cluster (PPC) model. With the relational data retrieved from the Baidu search index, a new dimension (connectivity) of social vulnerability (SVI connectivity ) was evaluated. Finally, an integrated social vulnerability index (SVI urban ) was measured combined with SVI node and SVI connectivity . This method was applied in the Yangtze River Delta region of China, where the top three high values of SVI node belonged to the cities of Taizhou (Z), Jiaxing, and Huzhou. The three lowest cities were Hangzhou, Nanjing, and Shanghai. For SVI urban , the social vulnerability of cities in different hierarchies behaved differently. For Hierarchies 2 and 3, when compared to SVI node , the SVI urban was significantly reduced. However, the variation between SVI node and SVI urban in Hierarchy 4 was slight. Furthermore, an increase for the city of Taizhou (J) in its social vulnerability was achieved after connecting to the network. Huzhou, in Hierarchy 5, increased its social vulnerability the most when adding connectivity in the social vulnerability assessment. Based on the results of our case study, a conclusion was drawn that network connectivity had an influence on social vulnerability. However, when connectivity was strong enough, it could help cities to mitigate their traditional social vulnerability, whereas a loose connection in the network aggregated their traditional social vulnerability. Hence, the latter should be emphasized in future urban risk management.

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Section: Literature Review: Conceptual Basis and Evolution Of Vulneramentioning

confidence: 99%

A New Framework for Understanding Urban Social Vulnerability from a Network Perspective

Dou

Zhang

2017

Sustainability

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“…For example, the 2002 monsoon flood inundated nearly 20% of the total area of Jakarta (Firman et al, 2011), resulting in the death of 25 people (Brinkman and Hartman, 2008;, US$788 million in damage to urban infrastructure and at least US$22 million in damage to roads (Akmalah and Grigg, people, displacement of 340,000 people (Brinkman and Hartman, 2008;Ogie et al, 2016), 190,000 cases of floodrelated illness (Akmalah and Grigg, 2011), direct economic losses of US$453 million (Ward et al, 2011) and approximately US$998 million in total losses (Akmalah and Grigg, 2011).…”

Section: Description Of Activities Leading To Network Construction Anmentioning

confidence: 99%

Assessing the vulnerability of pumping stations to trash blockage in coastal mega-cities of developing nations

Ogie

Dunn

Holderness

et al. 2017

Sustainable Cities and Society

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“…Source: Firman, T. et al (2011), "Potential climate-change related vulnerabilities in Jakarta: Challenges and current status", Habitat International, Vol.35, pp. 372-378.…”

Section: Figure 14 Location Of Poor Households In Jakarta By Sub-dismentioning

confidence: 99%

Urban Green Growth in Dynamic Asia

2016

OECD Green Growth Studies

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Potential climate-change related vulnerabilities in Jakarta: Challenges and current status

Cited by 119 publications

References 14 publications

A New Framework for Understanding Urban Social Vulnerability from a Network Perspective

A New Framework for Understanding Urban Social Vulnerability from a Network Perspective

Assessing the vulnerability of pumping stations to trash blockage in coastal mega-cities of developing nations

Urban Green Growth in Dynamic Asia

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