Review and Comparative Study of Decision Support Tools for the Mitigation of Urban Heat Stress

Qureshi, Aiman Mazhar; Rachid, A.

doi:10.3390/cli9060102

Cited by 7 publications

(4 citation statements)

References 29 publications

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“…This selection was mainly according to the ability of the TOPSIS method to rank the domain pixels based on all defined components of a heat wave, thereby removing any need for independent hazard components [78,84]. In addition, this selection is in line with previous studies on heat waves using TOPSIS multi-criteria decision-making [94][95][96].…”

Section: Multi-criteria Decision-makingmentioning

confidence: 80%

Mapping Heat Wave Hazard in Urban Areas: A Novel Multi-Criteria Decision Making Approach

2022

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Global population is experiencing more frequent, longer, and more severe heat waves due to global warming and urbanization. Episodic heat waves increase mortality and morbidity rates and demands for water and energy. Urban managers typically assess heat wave risk based on heat wave hazard, population exposure, and vulnerability, with a general assumption of spatial uniformity of heat wave hazard. We present a novel analysis that demonstrates an approach to determine the spatial distribution of a set of heat wave properties and hazard. The analysis is based on the Livneh dataset at a 1/16-degree resolution from 1950 to 2009 in Maricopa County, Arizona, USA. We then focused on neighborhoods with the most frequent, severe, earlier, and extended periods of heat wave occurrences. On average, the first heat wave occurs 40 days earlier in the eastern part of the county; the northeast part of this region experiences 12 days further extreme hot days and 30 days longer heat wave season than other regions of the area. Then, we applied a multi-criteria decision-making (MCDM) tool (TOPSIS) to evaluate the total hazard posed by heat wave components. We found that the northern and central parts of the metropolitan area are subject to the greatest heat wave hazard and that individual heat wave hazard components did not necessarily indicate heat hazard. This approach is intended to support local government planning for heat wave adaptation and mitigation strategies, where cooling centers, heat emergency water distribution networks, and electrical energy delivery can be targeted based on current and projected local heat wave characteristics.

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Section: Multi-criteria Decision-makingmentioning

confidence: 80%

Mapping Heat Wave Hazard in Urban Areas: A Novel Multi-Criteria Decision Making Approach

2022

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“…Epstein and Moran (2006), for instance, list 45 different systems for assessing heat stress from the beginning of the 20 th century onwards. Few of these indices have prevailed, among them the corrected effective temperature (CET), the discomfort index (DI), and the WBGT (Rachid and Qureshi 2023). A more recently developed relevant metric is the Universal Thermal Climate Index (UTCI), which measures heat stress by taking into account temperature, wind, humidity, and average radiation temperature (Blazejczyk et al 2012).…”

Section: The Connection Between Heat Stress and Labor Productivitymentioning

confidence: 99%

Economic impact of labor productivity losses induced by heat stress: An agent-based macroeconomic approach

Kimmich,

Weyerstraß,

Czypionka

et al. 2024

Preprint

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Against the backdrop of rising temperatures, this paper analyzes how prolonged heat affects labor productivity and the corresponding macroeconomic outcomes, using Austria as a case study. While previous research primarily focused on specific industries or used industry aggregates, this study also considers inter-industrial economic connections. We assess the macroeconomic effects of an increase in heat stress triggered by climate change with an emphasis on (1) industry-specific work intensity and (2) the vulnerability to heat-induced impairments resulting in an industry-specific loss of labor productivity. To account for indirect and non-linear economic relationships, we apply an agent-based model of the Austrian economy, which translates heat-induced productivity losses into economy-wide effects via shocks to industry-related input-output structures on the level of economic agents. The findings highlight how in the scenario with the highest temperature increase, the largest average loss in real GDP amounts to 0.8% in the third year compared to the baseline scenario. The largest aggregate effect is found for investments in dwellings. In line with existing literature, industries most affected directly are those that perform intense work in the sun, such as agriculture and construction. Thus, our unique methodological approach, model, and the corresponding EU data sources can serve as a blueprint for further comparative research.

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“…In previous studies, AHP-SWOT, multi-criteria outranking approach, EFDM, FDEMA-TEL, multi-criteria method by linear regression, TOPSIS, SMCE, Fuzzy-AHP TOPSIS have been used in the field of UHS [24]. In addition, the AHP method was specifically used to select the urban heat resilience intervention under certain criteria [25].…”

Section: Research Backgroundmentioning

confidence: 99%

Comparative Analysis of Multi-Criteria Decision-Making Techniques for Outdoor Heat Stress Mitigation

Qureshi

Rachid

2022

Applied Sciences

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Decision making is the process of making choices by organizing relevant information and evaluating alternatives. MCDMs (Multi-Criteria Decision Methods) help to select and prioritize alternatives step by step. These tools can help in many engineering fields where the problem is complex and advanced. However, there are some limitations of the different MCDMs that reduce the reliability of the decision that needs to be improved and highlighted. In this study, Elimination and Choice Expressing Reality (ELECTRE) NI (Net Inferior), NS (Net Superior), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Multi-Objective Optimization Ratio Analysis (MOORA), Weight Sum Method (WSM) and Weighted Product Method (WPM) are applied for the selection of urban heat mitigation measurements under certain criteria. The models were applied using weighting criteria determined by two ways, (i) the direct weighting method and (ii) the Analytic Hierarchy Process (AHP), for precise weighting factoring through pairwise comparison. This numerical research evaluated the reliability of MCDMs using the same decision matrix under different normalization techniques and shows the impact of AHP on the decision. The results show that WSM and PROMETHEE provided reliable and consistent results for all normalization techniques. The combination of AHP with applied MCDMs improved the frequency of consistent ranking, except with ELECTRE-NS.

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Review and Comparative Study of Decision Support Tools for the Mitigation of Urban Heat Stress

Cited by 7 publications

References 29 publications

Mapping Heat Wave Hazard in Urban Areas: A Novel Multi-Criteria Decision Making Approach

Mapping Heat Wave Hazard in Urban Areas: A Novel Multi-Criteria Decision Making Approach

Economic impact of labor productivity losses induced by heat stress: An agent-based macroeconomic approach

Comparative Analysis of Multi-Criteria Decision-Making Techniques for Outdoor Heat Stress Mitigation

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