Abstract:Maintaining and enhancing the quality of civil defense services are of importance to citizens’ life in any city. During the past few decades, the expansion of settlements in Al-Riyadh City has led to a shortage in the distribution of the civil defense centers (CDCs) there. The main aim of this study is to implement the Weighted Sum Method (WSM) and Analytic Hierarchy Process (AHP) to evaluate the distribution of the CDCs in Al-Riyadh City. Eight criteria (i.e., distance from the existing civil defense center, … Show more
“…It is noteworthy that GIS also supports spatial optimization and location models that can find the best solutions to geographic decision problems under firmly defined circumstances [36,37]. On the other hand, MCDA techniques, such as Weighted Linear Combination (WLC) [38] and Analytic Hierarchy Process (AHP) [39], are among the frequently applied approaches to determine the relative rank of multiple interrelated factors, based on decision-making priorities, for different site selection projects (e.g., dams, landslides, groundwater recharge zonation, landfills, and civil defense centers) [4,[40][41][42][43].…”
Iraq, including the investigated watershed, has endured destructive floods and drought due to precipitation variability in recent years. Protecting susceptible areas from flooding and ensuring water supply is essential for maintaining basic human needs, agricultural production, and industry development. Therefore, locating and constructing storage structures is a significant initiative to alleviate flooding and conserve excessive surface water for future growth. This study aims to identify suitable locations for Runoff Harvesting (RH) and dam construction in the Hami Qeshan Watershed (HQW), Slemani Governorate, Iraq. We integrated in situ data, remotely sensed images, and Multi-Criteria Decision Analysis (MCDA) approaches for site selection within the Geographical Information Systems (GIS) environment. A total of ten criteria were employed to generate the RH suitability maps, including topographic position index, lithology, slope, precipitation, soil group, stream width, land cover, elevation, distance to faults, and distance to town/city. The weights of the utilized factors were determined via Weighted Linear Combination (WLC) and Analytic Hierarchy Process (AHP). The resulting RH maps were validated through 16 dam sites preselected by the Ministry of Agriculture and Water Resources (MAWR). Findings showed that the WLC method slightly outperformed AHP regarding efficiency and exhibited a higher overall accuracy. WLC achieved a higher average overall accuracy of 69%; consequently, it was chosen to locate new multipurpose dams for runoff harvesting in the study area. The overall accuracy of the 10 suggested locations in HQW ranged between 66% and 87%. Two of these sites align with the 16 locations MAWR has recommended: sites 2 and 5 in the northwest of HQW. It is noteworthy that all MAWR dam sites were situated in medium to excellent RH zones; however, they mostly sat on ineffective geological localities. It is concluded that a careful selection of the predictive factors and their respective weights is far more critical than the applied methods. This research offers decision-makers a practical and cost-effective tool for screening site suitability in data-scarce rugged terrains.
“…It is noteworthy that GIS also supports spatial optimization and location models that can find the best solutions to geographic decision problems under firmly defined circumstances [36,37]. On the other hand, MCDA techniques, such as Weighted Linear Combination (WLC) [38] and Analytic Hierarchy Process (AHP) [39], are among the frequently applied approaches to determine the relative rank of multiple interrelated factors, based on decision-making priorities, for different site selection projects (e.g., dams, landslides, groundwater recharge zonation, landfills, and civil defense centers) [4,[40][41][42][43].…”
Iraq, including the investigated watershed, has endured destructive floods and drought due to precipitation variability in recent years. Protecting susceptible areas from flooding and ensuring water supply is essential for maintaining basic human needs, agricultural production, and industry development. Therefore, locating and constructing storage structures is a significant initiative to alleviate flooding and conserve excessive surface water for future growth. This study aims to identify suitable locations for Runoff Harvesting (RH) and dam construction in the Hami Qeshan Watershed (HQW), Slemani Governorate, Iraq. We integrated in situ data, remotely sensed images, and Multi-Criteria Decision Analysis (MCDA) approaches for site selection within the Geographical Information Systems (GIS) environment. A total of ten criteria were employed to generate the RH suitability maps, including topographic position index, lithology, slope, precipitation, soil group, stream width, land cover, elevation, distance to faults, and distance to town/city. The weights of the utilized factors were determined via Weighted Linear Combination (WLC) and Analytic Hierarchy Process (AHP). The resulting RH maps were validated through 16 dam sites preselected by the Ministry of Agriculture and Water Resources (MAWR). Findings showed that the WLC method slightly outperformed AHP regarding efficiency and exhibited a higher overall accuracy. WLC achieved a higher average overall accuracy of 69%; consequently, it was chosen to locate new multipurpose dams for runoff harvesting in the study area. The overall accuracy of the 10 suggested locations in HQW ranged between 66% and 87%. Two of these sites align with the 16 locations MAWR has recommended: sites 2 and 5 in the northwest of HQW. It is noteworthy that all MAWR dam sites were situated in medium to excellent RH zones; however, they mostly sat on ineffective geological localities. It is concluded that a careful selection of the predictive factors and their respective weights is far more critical than the applied methods. This research offers decision-makers a practical and cost-effective tool for screening site suitability in data-scarce rugged terrains.
“…El cuidado personal es un punto de las normas de la ley estatal de autonomía y dependencia 39/2006, que incluye a las personas económicamente vulnerables. Así, los servicios sociales deben estar dedicados a satisfacer las necesidades diarias de las personas mayores desde la atención especializada para fortalecer el espacio psicológico y ecológico de la salud mental de las personas mayores (Batljan & Lagergren, 2005;Grazuleviciute-Vileniske et al, 2020;Chen et al, 2020).…”
Section: Las Personas Mayores En Relación Con Los Servicios Sociales ...unclassified
“…Las acciones diarias de las personas y sus desplazamientos en diferentes lugares y diversos equipamientos (hospital, centro de salud, servicio de entretenimiento, comerciales…etc.) del medio físico para satisfacer sus necesidades deben ser posibles en todas las etapas de la vida, sin discriminación, con una planificación urbanística adecuada (Abd El Karim & Awawdeh, 2020;Bashir et al, 2021).…”
Nowadays, ageing has become a problem in many countries due to difficulties in accessing public spaces, especially in the most vulnerable areas. This challenge must be overcome through the implementation of the Sustainable Development Goals, through the eleventh goal of the SDG of the 2030 Agenda: "Make cities inclusive, safe, resilient and sustainable."The main objective of this work is to design a model for assessing the vulnerability in public urban space that focuses on the needs of older people to promote their inclusion, based on a case study about vulnerable urban area. The model is based on assessment indicators, and considers different dimensions and areas, to include urban, architectural, economic and social issues. The model was applied to the study area located in the Central Administrative District of the municipality of Castelló de la Plana, specifically in census sections 5005 and 5013. The application of the model to the area of study has allowed the evaluation of vulnerability indicators in the public space with the aim of favoring the inclusion of elders. Partial indices are calculated by dimensions and areas, as well as a global index, which considers all of themholistically. This model can help make urban planning decisions for sustainable cities towards older-friendly cities and, in the future, can serve as a reference for all municipalities to plan their cities sustainably.
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