Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas

Rashed, Tarek; Weeks, John R.

doi:10.1080/1365881031000114071

Cited by 273 publications

(169 citation statements)

References 11 publications

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“…(Jenelius, 2009, Jenelius, 2010, Berdica, 2002, Rashed and Weeks, 2003, Taylor and Susilawati, 2012, Brenkert and Malone, 2005, arising from different interpretations of the concept of vulnerability and the scope of analysis. In general there are two main methods; use of a network wide screen (Jenelius et al, 2006) and techniques based on pre-selection of potentially vulnerable links according to a set of of criteria (Knoop et al, 2012).…”

Section: Vulnerability Assessment Methods and Indicatorsmentioning

confidence: 99%

An assessment method for highway network vulnerability

Rashidy

Grant-Muller

2014

Journal of Transport Geography

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This paper introduces a methodology to assess the level of vulnerability of road transport networks. A new technique based on fuzzy logic and exhaustive search optimisation is used to combine vulnerability attributes with different weights into a single vulnerability index for network links, which may be used to measure the impact of disruptive events. The network vulnerability index is then calculated using two different aggregations: an aggregated vulnerability index based on physical characteristics and an aggregated vulnerability index based on operational characteristics. The former uses link physical properties such as its length and the number of lanes, whilst the latter reflects aspects of the network flow. The application of the methodology on a synthetic network (based on Delft city, Netherland) demonstrates the ability of the technique to estimate variation in the level of vulnerability under different scenarios. The method also allows exploration of how variation in demand and supply impact on overall network vulnerability, providing a new tool for decision makers to understand the dynamic nature of vulnerability under various events. The method could also be used as an evaluation tool to gauge the impact of particular policies on the level of vulnerability for the highway network and highlight weaknesses in the network.

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Section: Vulnerability Assessment Methods and Indicatorsmentioning

confidence: 99%

An assessment method for highway network vulnerability

Rashidy

Grant-Muller

2014

Journal of Transport Geography

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“…Integration of fuzzy logic with GIS in a decision-making framework has been used for different purposes, including land suitability based upon soil profiles (Burrough et al 1992), soil classification (Lark and Bolam 1997), landfill site screening (Charnpratheep et al 1997), soil erosion (Mitra et al 1998), crop land suitability analysis (Ahmed et al 2000), ranking burned forests to evaluate the risk of desertification (Sasikala and Petrou 2001), seeking optimum locations for real estate (Zeng and Zhou 2001), assessing vulnerability to natural hazards (Rashed and Weeks 2003;Tangestani 2004;Dixon 2005), estimating risk (Sadiq and Husain 2005), incorporating farmer's knowledge for land suitability classification (Sicat et al 2005), fuel type mapping (Nadeau and Englefield 2006), assessing spatial extent of dry land salinity (Malins and Metternicht 2006), etc. Therefore, many studies have been performed using fuzzy logic integrated with GIS in a MCDM framework demonstrating that the methods are robust and valid.…”

Section: Introductionmentioning

confidence: 99%

Fire risk evaluation using multicriteria analysis—a case study

Vadrevu

Eaturu

Badarinath

2009

Environ Monit Assess

154

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Forest fires are one of the major causes of ecological disturbance and environmental concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory integrated with decision-making algorithm in a Geographic Information Systems (GIS) framework to map forest fire risk. Fuzzy set theory implements classes or groupings of data with boundaries that are not sharply defined (i.e., fuzzy) and consists of a rule base, membership functions, and an inference procedure. We used satellite remote sensing datasets in conjunction with topographic, vegetation, climate, and socioeconomic datasets to infer the causative factors of fires. Spatial-level data on these biophysical and socioeconomic parameters have been aggregated at the district level and have been organized in a GIS framework. A participatory multicriteria decision-making approach involving Analytical Hierarchy Process has been designed to arrive at a decision matrix that identified the important causative factors of fires. These expert judgments were then integrated using spatial fuzzy decision-making algorithm to map the forest fire risk. Results from this study were quite useful in identifying potential "hotspots" of fire risk, where forest fire protection measures can be taken in advance. Further, this study also demonstrates the potential of multicriteria analysis integrated with GIS as an effective tool in assessing "where and when" forest fires will most likely occur.

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“…However, this type of analysis could be extended for larger regions as was done for county-level data in Cutter et al [2003]. For the purposes of this paper, we focus on social vulnerability rather than economic vulnerability due to the cost of reconstruction or other commonly considered metrics by literature related to earthquake risk and loss [e.g., Rashed and Weeks, 2003]. …”

Section: Constructing a Social Vulnerability Index For Los Angelesmentioning

confidence: 99%

Fault zone regulation, seismic hazard, and social vulnerability in Los Angeles, California: Hazard or urban amenity?

2014

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Public perception and regulation of environmental hazards are important factors in the development and configuration of cities. Throughout California, probabilistic seismic hazard mapping and geologic investigations of active faults have spatially quantified earthquake hazard. In Los Angeles, these analyses have informed earthquake engineering, public awareness, the insurance industry, and the government regulation of developments near faults. Understanding the impact of natural hazards regulation on the social and built geography of cities is vital for informing future science and policy directions. We constructed a relative social vulnerability index classification for Los Angeles to examine the social condition within regions of significant seismic hazard, including areas regulated as Alquist-Priolo (AP) Act earthquake fault zones. Despite hazard disclosures, social vulnerability is lowest within AP regulatory zones and vulnerability increases with distance from them. Because the AP Act requires building setbacks from active faults, newer developments in these zones are bisected by parks. Parcel-level analysis demonstrates that homes adjacent to these fault zone parks are the most valuable in their neighborhoods. At a broad scale, a Landsat-based normalized difference vegetation index shows that greenness near AP zones is greater than the rest of the metropolitan area. In the parks-poor city of Los Angeles, fault zone regulation has contributed to the construction of park space within areas of earthquake hazard, thus transforming zones of natural hazard into amenities, attracting populations of relatively high social status, and demonstrating that the distribution of social vulnerability is sometimes more strongly tied to amenities than hazards.

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Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas

Cited by 273 publications

References 11 publications

An assessment method for highway network vulnerability

An assessment method for highway network vulnerability

Fire risk evaluation using multicriteria analysis—a case study

Fault zone regulation, seismic hazard, and social vulnerability in Los Angeles, California: Hazard or urban amenity?

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