Optimization Model for Fire Station Location Based on GIS and Python: A Case Study in North Cyprus

2013 ◽  
Vol 330 ◽  
pp. 1059-1064 ◽  
Author(s):  
Mahdi Kazemi ◽  
Mehmet M. Kunt ◽  
Iman Aghayan ◽  
Reza Jalali Larijani
Keyword(s):  
Selection Process ◽  
Service Area ◽  
Location Selection ◽  
Fire Station ◽  
Service Areas ◽  
Fire Stations ◽  
Python Programming ◽  
Station Location ◽  
Service Location

In this paper, the location selection process related to fire stations in Famagusta city is enhanced by applying Quantum Geographic Information Systems (QGIS) and Python programming language. This procedure leads to obtaining the optimum emergency service location based on the minimization of response time. This study aims to commence service coverage modeling in a consistent demand region, with road availability considerations. In addition, this study focuses on the capability of GIS to create service areas by means of the travel time regions in a facility location model. Another purpose of this research is to maximize the overall service area of the determined number of facilities and to state the capability of GIS for establishing the suitable service areas of fire stations in Famagusta city so as to achievie a maximal overall service area from a specific fire station facility to other locations. The best location for only one fire station is determined which is placed around the signalized intersection joining Mustafa Kemal Boulevard and Topçular Boulevard in Famagusta (node 230).

scholarly journals Search and rescue station location selection and conceptual design: a case study of western region of Indonesia

2021 ◽  
Vol 649 (1) ◽  
pp. 012069
Author(s):  
F Hadi ◽  
H I Nur ◽  
N K P Maharani ◽  
C B S Permana ◽  
I G N S Buana ◽  
...  
Keyword(s):  
Conceptual Design ◽  
Search And Rescue ◽  
Western Region ◽  
Location Selection ◽  
Station Location

scholarly journals Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study

2020 ◽  
Vol 17 (6) ◽  
pp. 2030 ◽  
Author(s):  
Wenhao Yu ◽  
Yujie Chen ◽  
Zhanlong Chen ◽  
Zelong Xia ◽  
Qi Zhou
Keyword(s):  
Voronoi Diagram ◽  
Fire Risk ◽  
Fire Service ◽  
Service Area ◽  
Street Network ◽  
Space Partitioning ◽  
Fire Services ◽  
Fire Stations ◽  
Fire Engine

Under the rapid development of urbanization, fire service becomes one of the biggest contributive factors to personal health and property safety. A reasonable plan of fire services should first address the issue of service area delimitation for fire emergency facilities. Specifically, there are two key factors for fire services including rescue efficiency and load balancing, which are usually handled by the space partitioning methods (e.g., Voronoi diagram). The traditional methods tend to model the space in a homogeneous plane with Euclidean distance, while in reality, the movement of rescuing is constrained by the street network. In addition, the built environment is complex by its variation of fire risk across places. Therefore, we propose a novel constrained Voronoi diagram for fire service area delimitation by adding the datasets of street network and historical fire incidents. Considering the prior knowledge that a fire engine is expected to reach the location of incident within five minutes, which is also called Golden 5 min, we propose a network partitioning algorithm which is able to increase the five-minute coverage of fire stations. Through a case study in Nanjing, China, we demonstrate the practicability of the proposed method in delimitating service areas of fire stations across time.

scholarly journals The Application Study in Solar Energy Technology for Highway Service Area: A Case Study of West Lushan Highway Low-Carbon Service Area in China

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaochun Qin ◽  
Yi Shen ◽  
Shegang Shao
Keyword(s):  
Solar Energy ◽  
Service Area ◽  
Energy Technology ◽  
Low Carbon ◽  
Water Heating ◽  
Solar Water Heating ◽  
Solar Systems ◽  
Solar Water ◽  
Service Areas

A lot of research works have been made concerning highway service area or solar technology and acquired great achievements. However, unfortunately, few works have been made combining the two topics together of highway service areas and solar energy saving to make a systemic research on solar technology application for highway service area. In this paper, taking West Lushan highway low-carbon service area in Jiangxi Province of China as the case study, the advantages, technical principles, and application methods of solar energy technology for highway service area including solar photoelectric technology and solar water heating technology were discussed based on the analysis of characteristics of highway low-carbon service area; the system types, operation mode, and installing tilt angle of the two kinds of solar systems suitable for highway service areas were confirmed. It was proved that the reduction of the cost by electricity savings of solar system was huge. Taking the investment of the solar systems into account, the payback period of solar photoelectric systems and solar water heating systems was calculated. The economic effect of the solar systems in West Lushan highway service area during the effective operation periods was also calculated and proved very considerable.

scholarly journals Post-acute care use patterns among Hospital Service Areas by older adults in the United States: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Julianna M. Dean ◽  
Kimberly Hreha ◽  
Ickpyo Hong ◽  
Chih-Ying Li ◽  
Daniel Jupiter ◽  
...  
Keyword(s):  
Acute Care ◽  
Care Service ◽  
Inpatient Rehabilitation ◽  
The United States ◽  
Service Area ◽  
Hospital Service ◽  
Medicare Beneficiaries ◽  
Skilled Nursing ◽  
Service Areas ◽  
Post Acute Care

Abstract Background Despite the success of stroke rehabilitation services, differences in service utilization exist. Some patients with stroke may travel across regions to receive necessary care prescribed by their physician. It is unknown how availability and combinations of post-acute care facilities in local healthcare markets influence use patterns. We present the distribution of skilled nursing, inpatient rehabilitation, and long-term care hospital services across Hospital Service Areas among a national stroke cohort, and we describe drivers of post-acute care service use. Methods We extracted data from 2013 to 2014 of a national stroke cohort using Medicare beneficiaries (174,498 total records across 3232 Hospital Service Areas). Patients’ ZIP code of residence was linked to the facility ZIP code where care was received. If the patient did not live in the Hospital Service Area where they received care, they were considered a “traveler”. We performed multivariable logistic regression to regress traveling status on the care combinations available where the patient lived. Results Although 73.4% of all Hospital Service Areas were skilled nursing-only, only 23.5% of all patients received care in skilled nursing-only Hospital Service Areas; 40.8% of all patients received care in Hospital Service Areas with only inpatient rehabilitation and skilled nursing, which represented only 18.2% of all Hospital Service Areas. Thirty-five percent of patients traveled to a different Hospital Service Area from where they lived. Regarding “travelers,” for those living in a skilled nursing-only Hospital Service Area, 49.9% traveled for care to Hospital Service Areas with only inpatient rehabilitation and skilled nursing. Patients living in skilled nursing-only Hospital Service Areas had more than five times higher odds of traveling compared to those living in Hospital Service Areas with all three facilities. Conclusions Geographically, the vast majority of Hospital Service Areas in the United States that provided rehabilitation services for stroke survivors were skilled nursing-only. However, only about one-third lived in skilled nursing-only Hospital Service Areas; over 35% traveled to receive care. Geographic variation exists in post-acute care; this study provides a foundation to better quantify its drivers. This study presents previously undescribed drivers of variation in post-acute care service utilization among Medicare beneficiaries—the “traveler effect”.

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