A Spatial Decision Support System Based on a Hybrid AHP and TOPSIS Method for Fire Station Site Selection

Vahidnia, Mohammad H.; Vahidi, Hossein; Hassanabad, Madjid Ghodsi; Shafiei, Maryam

doi:10.1007/s41651-022-00125-x

Cited by 18 publications

(2 citation statements)

References 55 publications

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“…(2022) introduced a decision support system based on the Analytic Hierarchy Process (AHP) to optimize the distribution of fire stations, providing them with the best spatial optimization solutions. 15 Location selection problems for urban planning are essential strategic tasks. 16 , 17 As a classic location selection problem, the covering location problem is often utilized to determine the optimal facility distribution plan, such as courier main service stations, garbage bins, bicycle parking, etc., to reduce resource waste and build intelligent, efficient, and environmentally friendly urban development.…”

Section: Introductionmentioning

confidence: 99%

Dual hybrid frameworks combining graph convolutional network with decoding for covering location problem

Zhang,

Wang,

Liang

et al. 2024

iScience

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Section: Introductionmentioning

confidence: 99%

Dual hybrid frameworks combining graph convolutional network with decoding for covering location problem

Zhang,

Wang,

Liang

et al. 2024

iScience

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“…We can extend the research content to the optimization of the deployment of spatial monitoring points [55]. The location of sensors used to monitor the diffusion of chemically hazardous gases has only been studied in a two-dimensional planar area, and three-dimensional space with height has not been considered.…”

mentioning

confidence: 99%

A Study on the Deployment of Mesoscale Chemical Hazard Area Monitoring Points by Combining Weighting and Fireworks Algorithms

Shi¹,

Zhang²,

Chen³

et al. 2023

Sustainability

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In order to address the problems of redundancy and waste of resources in the deployment of monitoring points in mesoscale chemical hazard areas, we propose a method for the deployment of monitoring points in mesoscale chemical hazard areas by combining weight and fireworks algorithms. Taking the mesoscale chemical hazard monitoring area as the research background, we take the probabilistic sensing model of telemetry sensor nodes as the research object, make a reasonable grid division of the mesoscale monitoring area, calculate the importance of each grid and perform clustering, utilize the diversity of the fireworks algorithm and the rapidity of the solution to solve the monitoring point deployment model and discuss the relevant factors affecting the deployment scheme. The simulation results show that the proposed algorithm can achieve the optimal coverage monitoring for monitoring areas with different importance and reduce the number of monitoring nodes and redundancy; meanwhile, the relevant factors such as the grid edge length, the number of clusters, and the average importance of monitoring areas have different degrees of influence on the complexity of the algorithm and the deployment scheme.

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Geographic patterns of urban fires in the global south: the case of Kathmandu, Nepal

KC,

Ardianto,

Chhetri

et al. 2024

GeoJournal

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A Spatial Decision Support System Based on a Hybrid AHP and TOPSIS Method for Fire Station Site Selection

Cited by 18 publications

References 55 publications

Dual hybrid frameworks combining graph convolutional network with decoding for covering location problem

Dual hybrid frameworks combining graph convolutional network with decoding for covering location problem

A Study on the Deployment of Mesoscale Chemical Hazard Area Monitoring Points by Combining Weighting and Fireworks Algorithms

Geographic patterns of urban fires in the global south: the case of Kathmandu, Nepal

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