A methodology to assess environmental vulnerability in a coastal city: Application to Jakarta, Indonesia

Yoo, Gayoung; Kim, A Ra; Hadi, Safwan

doi:10.1016/j.ocecoaman.2014.09.018

Cited by 52 publications

(27 citation statements)

References 16 publications

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“…In another example, Mainali and Pricope [158] associate built-up and bare land with high vulnerability ranks and forest land-with low natural vulnerability rank [158]. In addition, a high proportion of managed natural land cover indicates greater vulnerability because vegetation and crop yield are negatively influenced by environmental degradation [165].…”

Section: Socio-economic Statusmentioning

confidence: 99%

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

2018

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Rapid increase in population and growing concentration of capital in urban areas has escalated both the severity and longer-term impact of natural disasters. As a result, Disaster Risk Management (DRM) and reduction have been gaining increasing importance for urban areas. Remote sensing plays a key role in providing information for urban DRM analysis due to its agile data acquisition, synoptic perspective, growing range of data types, and instrument sophistication, as well as low cost. As a consequence numerous methods have been developed to extract information for various phases of DRM analysis. However, given the diverse information needs, only few of the parameters of interest are extracted directly, while the majority have to be elicited indirectly using proxies. This paper provides a comprehensive review of the proxies developed for two risk elements typically associated with pre-disaster situations (vulnerability and resilience), and two post-disaster elements (damage and recovery), while focusing on urban DRM. The proxies were reviewed in the context of four main environments and their corresponding sub-categories: built-up (buildings, transport, and others), economic (macro, regional and urban economics, and logistics), social (services and infrastructures, and socio-economic status), and natural. All environments and the corresponding proxies are discussed and analyzed in terms of their reliability and sufficiency in comprehensively addressing the selected DRM assessments. We highlight strength and identify gaps and limitations in current proxies, including inconsistencies in terminology for indirect measurements. We present a systematic overview for each group of the reviewed proxies that could simplify cross-fertilization across different DRM domains and may assist the further development of methods.While systemizing examples from the wider remote sensing domain and insights from social and economic sciences, we suggest a direction for developing new proxies, also potentially suitable for capturing functional recovery.2 of 30 threats, to reduce own overall vulnerability, and to allow the community to recover from adverse impacts when they occur. Decades of disaster research offer extensive findings in this respect [4][5][6][7]. Remote sensing (RS)-as an effective and rapid tool for monitoring large areas-is essential for the acquisition of geospatial data, which in turn constitutes the basis for risk assessment and management. RS is widely used for various aspects of the DRM, ranging from vulnerability [8] to rapid damage assessments [9], for diverse areas ranging from coastal ecosystems [10] to complex urban settings [11], and for disasters as diverse as landslides [12,13] or cyclones [14].Numerous methods have been developed to extract information from RS data to identify, characterize, or quantify different phases of the disaster risk cycle: response, recovery, prevention/mitigation, and preparedness [15]. However, early studies predominantly considered the physical side of the assessments for both ...

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Section: Socio-economic Statusmentioning

confidence: 99%

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

2018

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“…Adaptive capacity denotes the self-regulated ability of a system in order to adapt to changing conditions and cope with external perturbations [39]. EV and this conceptual framework have been well articulated in marine and coastal ecosystem literature [40][41][42], and applied to research on island spatial heterogeneity in the context of China's island sustainable urbanization [36]. We adopted the E-S-A framework for reasons: (1) it assembles the primary elements of social-ecological-economic systems at multiple scales; (2) it emphasizes adaptive capacity, which shapes vulnerability to a large extent in the long period of ecosystem management; and (3) it uses a combination of diverse layers and indicators for more integrated assessment.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Assessment on Island Ecological Vulnerability to Urbanization: A Tale of Chongming Island, China

Sun

Jong

et al. 2019

Sustainability

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The twenty first century has witnessed an emerging research interest in island urbanization, which will set further pressure on island ecological vulnerability (IEV), especially in those islands with a fixed link to the mainland. In this contribution, the IEV of eighteen towns and townships in Chongming Island is assessed based on an “exposure (E)-sensitivity (S)-adaptive capacity (A)” framework and by means of the entropy weight method for determination of the weight of fifteen indicators. The assessment results show that: (1) An index system consisting of 1 objective, 3 sub-objectives, 8 elements, and 15 indicators can be established and tested to reflect the IEV to island urbanization; (2) The overall ecological vulnerability of Chongming Island to urbanization is at a rather low level, with only three out of eighteen towns and townships at a moderate high and high IEV level, while the spatial distribution of IEV surrounds Chengqiao, the seat of the district government, and radiates in a fan-shaped manner; (3) Chengqiao inevitably leads among the towns and townships in its IEV value, and its westward urbanization has adversely affected the IEV of adjacent towns Xinhe and Jianshe. (4) Chenjia’s moderate low level of IEV comes as a surprise to the authors, due largely to its proximity to Shanghai. Our proposed E-S-A framework and assessment model could be rationally applied to similar islands with fixed links to the mainland nationally and internationally, which is the major contribution of our study.

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“…Environmental vulnerability was included as part of Environmental Impact Assessment in Colombia and its inclusion was justified by [22] where factors such as wildlife habitat, surface water quality, population, employment education were used as indicators. [23] proposed an environmental vulnerability framework which consists of sensitivity, environmental exposure, adaptive capacity and potential impact to measure the vulnerability indexes for Jakarta, Indonesia. Inundation and pollution were considered as part of the risk factors for environmental exposure while natural systems and human systems were listed as risk factors for sensitivity analysis.…”

Section: Technical Risk Factorsmentioning

confidence: 99%

“…Inundation and pollution were considered as part of the risk factors for environmental exposure while natural systems and human systems were listed as risk factors for sensitivity analysis. While [23] is the only literature reviewed to have proposed a framework to assess the environmental vulnerability, the environmental exposure element didn't take into account risk factors such as natural phenomena, natural landscape and coastal ecosystem as part of their assessment. In regards to physical risk factors, [24] considered physical vulnerability as who and what may be damaged or at risk by natural hazard such as earthquakes or floods.…”

Section: Technical Risk Factorsmentioning

confidence: 99%

Technical and Non-Technical Factors of Risk Identification for Sustainable Coastal Development in Malaysia

Azimi

Zakaria

Majid

2017

IJPS

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 In recent years, human casualties and economic losses caused by natural disasters in Malaysia have been increasing, with infrastructure development is becoming concentrated in disaster-prone areas. Urbanized coastal cities are also growing in number and size with high-rise buildings widely built along the shorelines. Every community is at risk from natural hazards, which creates an urgent need for public policies and strategic plans to manage the inevitable risks. Thus, this study aims to explore the technical and nontechnical factors of disaster risks pertaining infrastructure development for sustainability along the coastal areas of Malaysia. It is also intended to find the common aspects of these technical and non-technical factors that can be built as an integral part of disaster risk management. Specifically, this study presents evidence using a quantitative analysis for classifying and ranking technical and non-technical factors of disaster risks from an open-ended feedback on a given hypothetical case study pertaining infrastructure development along coastal areas. The results reflect that the technical factors of disaster risks include engineering measures and construction of hazard-resistant and protective infrastructures, while the non-technical-factors include policies, awareness and the provision of information. Determining the risk factors that enable communities and policy makers make well-informed decisions for long-term sustainable development represents national and local priorities with a strong institutional basis for implementation.

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A methodology to assess environmental vulnerability in a coastal city: Application to Jakarta, Indonesia

Cited by 52 publications

References 16 publications

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

Assessment on Island Ecological Vulnerability to Urbanization: A Tale of Chongming Island, China

Technical and Non-Technical Factors of Risk Identification for Sustainable Coastal Development in Malaysia

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