Shelter Site Selection and Allocation Model for Efficient Response to Humanitarian Relief Logistics

2020 ◽  
pp. 309-318
Author(s):  
Panchalee Praneetpholkrang ◽  
Van-Nam Huynh
Keyword(s):  
Site Selection ◽  
Humanitarian Relief ◽  
Allocation Model ◽  
Shelter Site

Emergency Shelter Site Selection in Maar Shurin Community of Idlib (Syria)

2021 ◽  
Vol 60 (1) ◽  
pp. 70
Author(s):  
Çetinkaya ◽  
Özceylan ◽  
İşleyen
Keyword(s):  
Site Selection ◽  
Emergency Shelter ◽  
Shelter Site

scholarly journals CAPACITY BUILDING LESSONS FROM A DECADE OF TRANSITIONAL SETTLEMENT AND SHELTER

2009 ◽  
Vol 13 (3) ◽  
pp. 247-265 ◽  
Author(s):  
Esteban Leon ◽  
Ilan Kelman ◽  
James Kennedy ◽  
Joseph Ashmore
Keyword(s):  
Latin America ◽  
Capacity Building ◽  
Case Studies ◽  
Site Selection ◽  
Good Governance ◽  
Monitoring And Evaluation ◽  
Land Ownership ◽  
Shelter Site ◽  
Specific Activities ◽  
Post Disaster

This paper examines 23 recent case studies of post‐disaster settlement and shelter across Africa, Asia, and Latin America to provide examples of implementing transitional settlement and shelter as a process and how to build more capacity for such programmes. The case studies are examined by using a four‐part framework: (i) Safety, security, and livelihoods; (ii) the question “Transition to what?” in order to understand better how to connect post‐disaster programmes to permanent communities and housing; (iii) fairness and equity; and (iv) connecting relief and development, which also explores root causes of vulnerability. The main lessons identify six specific activities that should be highlighted for capacity building in transitional settlement and shelter: site selection, good governance, participatory and consultative processes, land ownership, logistics, and monitoring and evaluation. Santruka Šiame darbe analizuojami 23 neseniai atliktu nelaimes ištiktu žmoniu apgyvendinimo ir prieglaudu jiems suteikimo Afrikoje, Azijoje ir Lotynu Amerikoje tyrimu rezultatai, pateikiami efektyvaus aprūpinimo laikinosiomis gyvenamosiomis vietomis ir prieglaudomis programu igyvendinimo pavyzdžiai, patariama, kaip didinti šiu programu potenciala. Tyrimu rezultatai nagrinejami remiantis keturiu daliu struktūra: 1) saugumas, apsauga ir pragyvenimo šaltinis; 2) klausimas “Jei laikinas, tai kas po to?”, siekis ištikus nelaimei vykdomas apgyvendinimo programas susieti su pastoviomis bendruomenemis ir nuolatiniu būstu; 3) teisingumas ir lygybe; 4) paramos ir pletros sasaja, pagrindines pažeidžiamumo priežastys. Išskiriamos šešios konkrečios veiklos rūšys, kurias reiketu akcentuoti didinat aprūpinimo laikinosiomis gyvenamosiomis vietomis ir prieglaudu suteikimo potenciala: vietos parinkimas, geras valdymas, dalyvavimo ir konsultavimo procesai, žemes nuosavybe, logistika, stebejimas bei vertinimas.

Refuge site selection by the eastern chestnut mouse in recently burnt heath

2011 ◽  
Vol 38 (4) ◽  
pp. 290 ◽  
Author(s):  
F. Pereoglou ◽  
C. Macgregor ◽  
S. C. Banks ◽  
F. Ford ◽  
J. Wood ◽  
...  
Keyword(s):  
Breeding Season ◽  
Site Selection ◽  
Prescribed Burning ◽  
Radio Telemetry ◽  
Species Conservation ◽  
Winter Season ◽  
Vegetation Density ◽  
Habitat Features ◽  
Trade Offs ◽  
Shelter Site

Context Temporal reduction in shelter is an indirect primary impact of fire. Removal of animal refugia has implications for shelter site selection and fidelity – factors that have been largely overlooked in studies of Australian rodent fauna. This information is critical for guiding species conservation and appropriate land management including prescribed burning practices. Aims We sought to determine which features of burnt heath were selected as shelter sites by the eastern chestnut mouse, whether there was sex and/or seasonal variation in shelter site selection and whether we could identify primary refugia. Methods We completed a radio-telemetry study to identify diurnal refuge sites and compare habitat attributes with those of a matched set of control sites. We then used habitat features and fidelity parameters to classify refuge site use. Key results We found the eastern chestnut mouse selected shelters with the presence of specific structures and had taller, denser vegetation than randomly selected control sites. There were no differences in habitat selection between the sexes. Shelter sites in the non-breeding season had greater vegetation density compared with those used in the breeding season. In the breeding season, the eastern chestnut mouse showed no evidence of increased fidelity to particular refuges. Vegetation density in winter was the best predictor of a primary refuge compared with whether or not an animal returned to a shelter site or the amount of time spent in a shelter site. Mice were ephemeral and non-gregarious in their refuge use. There was some evidence for inheritance of refuge sites from a parent, as well as inter-season shelter site fidelity. Conclusions The eastern chestnut mouse selected refugia that had habitat attributes offering maximum protection. Seasonality in refuge site selection is likely to reflect the reproductive and environmental trade-offs in critical resources during different seasons. The maintenance of multiple, rarely occupied shelters by the eastern chestnut mouse is consistent with data for other mammals. Implications Fire management should ensure retention of vegetation structure on the ground layer, dense habitat patches in burned areas, and be carefully planned during the winter season to maintain shelter and refuge sites to assist population persistence.

scholarly journals Research on site selection of electric vehicle swap station based on actual data

2021 ◽  
Vol 271 ◽  
pp. 01009
Author(s):  
Qin Ge ◽  
Huan He
Keyword(s):  
Sensitivity Analysis ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Site Selection ◽  
Grid Method ◽  
Allocation Model ◽  
Location Allocation ◽  
Candidate Site ◽  
Power Exchange ◽  
Selection Of

In order to facilitate users to switch batteries, starting from the trajectory of electric vehicles, rationally arrange the location of electric vehicle switch stations. First, determine the service radius of the swap station from the consideration of the driver's driving preference, the service target of the swap station and the cruising range of electric vehicles; secondly, use the grid method to divide the Jinjiang District into 42 sub-regions. Through the analysis of massive driving data, combined with power exchange demand and median center theory, the candidate site for the power exchange station in Jinjiang District was initially selected. Finally, the location allocation model is used to select the distribution of the replacement stations when the number of stations is the smallest and the coverage is the largest, and sensitivity analysis is carried out. The conclusion shows that: when the service radius is 3.03km, 12 substations can meet 93.21% of the points.

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