Analysis of Dispatch Strongpoint for the Fire Accidents Based on Spatial Location-Allocation Model in the Chungnam Province, South Korea

2018 ◽  
Vol 24 (2) ◽  
pp. 267-278
Author(s):  
Don-Jeong Choi ◽  
Jeong-Hwan Park
Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 270
Author(s):  
Kyunam An ◽  
Sumin Kim ◽  
Seoho Shin ◽  
Hyunkyoung Min ◽  
Sojung Kim

Planning for optimized farming with the aim of providing ideal site and cultivar selection is critical for a stable and sustainable supply of rice with sufficient quantity and quality to customers. In this study, a range of morphological characteristics and yield of eight rice cultivars that are commonly cultivated in Korea were investigated from 2005 to 2020. All morphological characteristics were significantly different among the eight rice cultivars. The dataset of morphological characteristics and yield was used to isolate groups of similar rice cultivars. The k-means clustering method was used to group the rice cultivars. Three groups (Group 1, Group 2, and Group 3) were created. Most cultivars were in Group 1. High-yielding rice cultivars were in Group 2, while the rice cultivars in Group 3 had the lowest rice grain yield. After grouping these rice cultivars, ideal farming locations for all three rice cultivar groups were identified to reduce transportation cost using an optimized location–allocation model. Simulation results suggested the following: (1) Group 1 should be produced in Jellanam-do (south west region), (2) Group 2 should be produced in Chungcheongnam-do (central west region), and (3) Group 3 should be mainly produced in the central west region of South Korea. Simulation results showed the potential to reduce transportation cost by around 0.014%. This can also reduce 21.04 tons of CO2 emission from a freight truck. Because these eight cultivars only make up 19.76% of the total rice production in South Korea, the cost reduction proportion was only 0.014% of total revenue. In future studies, more rice cultivars should be investigated to increase the efficiency of the model performance.


2018 ◽  
Vol 10 (12) ◽  
pp. 4580 ◽  
Author(s):  
Li Wang ◽  
Huan Shi ◽  
Lu Gan

With rapid development of the healthcare network, the location-allocation problems of public facilities under increased integration and aggregation needs have been widely researched in China’s developing cites. Since strategic formulation involves multiple conflicting objectives and stakeholders, this paper presents a practicable hierarchical location-allocation model from the perspective of supply and demand to characterize the trade-off between social, economical and environmental factors. Due to the difficulties of rationally describing and the efficient calculation of location-allocation problems as a typical Non-deterministic Polynomial-Hard (NP-hard) problem with uncertainty, there are three crucial challenges for this study: (1) combining continuous location model with discrete potential positions; (2) introducing reasonable multiple conflicting objectives; (3) adapting and modifying appropriate meta-heuristic algorithms. First, we set up a hierarchical programming model, which incorporates four objective functions based on the actual backgrounds. Second, a bi-level multi-objective particle swarm optimization (BLMOPSO) algorithm is designed to deal with the binary location decision and capacity adjustment simultaneously. Finally, a realistic case study contains sixteen patient points with maximum of six open treatment units is tested to validate the availability and applicability of the whole approach. The results demonstrate that the proposed model is suitable to be applied as an extensive planning tool for decision makers (DMs) to generate policies and strategies in healthcare and design other facility projects.


1979 ◽  
Vol 11 (1) ◽  
pp. 3-22 ◽  
Author(s):  
I N Williams

This paper introduces a loose-knit family of spatial-allocation models, which locate entities in two-dimensional space, based on a general framework which merges an input—output type model with a spatial-interaction type model. Explicit attention is paid to the solution and interpretation of constraints on the subtotals generated within these models. In this way a link is forged between the fields of land-use modelling and urban economics. One efficient method of solving a particular form of spatial-allocation model is described in detail and some characteristics of this and alternative approaches are discussed. Four practical applications of the spatial-allocation model framework are outlined to demonstrate its wide range of usefulness in representing spatial-location processes.


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