Anas M.M. Awad, Ketut Wikantika, Haytham Ali, Sohaib K.M. Abujayyab and Javad Hashempour
The rapid development of urban areas in Sleman District, Indonesia, has created new challenges for firefighting response services. One of the primary challenges is to identify the…
Abstract
Purpose
The rapid development of urban areas in Sleman District, Indonesia, has created new challenges for firefighting response services. One of the primary challenges is to identify the optimal locations for new fire stations, to improve service quality and maximize service coverage within the specified time.
Design/methodology/approach
This paper proposes a method for precisely calculating travel time that integrates delay time caused by traffic lights, intersections and congestion. The study highlights the importance of precise calculation of travel time in order to provide a more accurate understanding of the service area covered by the fire stations. The proposed method utilizes network analysis in ArcGIS, the analytical hierarchy process (AHP) and simple additive weighting (SAW) to accurately calculate travel time and to identify the best locations for new fire stations. The identification of new site was based on service safety, service quality, service costs and demographic factors and applied to the Sleman district in Indonesia.
Findings
The results showed that the total area covered by old and new fire stations decreased from 61% to 31.8% of the study area when the adjusted default speed scenario was implemented.
Practical implications
The results indicated that the default speed scenario could provide misleading information about the service area, while the adjusted default speed scenario improved service quality and maximized service coverage.
Originality/value
The proposed method provides decision-makers with an effective tool to make informed decisions on optimal locations for new fire stations and thus enhance emergency response and public safety.
Details
Keywords
Javad Hashempour, Zubaida Shebani and Jeffrey Kimble
Firefighting can pose a number of psychological health risks due to the nature of the job. Previous studies have examined the relationship between distress symptoms in…
Abstract
Purpose
Firefighting can pose a number of psychological health risks due to the nature of the job. Previous studies have examined the relationship between distress symptoms in firefighters and factors such as age, experience in the service, workload, sleep and alcohol use. However, the relationship between risk factors and mental health problems in firefighters remains unclear. In the present study, the authors aim to assess mental distress among Muscat firefighters using the Brief Symptom Inventory-18. The authors expected that this research will allow researchers to determine the prevalence of mental distress among Muscat firefighters and assess the role of the above risk factors on the ratio.
Design/methodology/approach
The assessment includes the prevalence of anxiety, somatization and depression symptoms among firefighters. The impact of sociodemographic factors, sleep problems and smoking on symptomatic cases was also evaluated. Data was collected from 110 firefighters then processed as per instructions in the BSI-18 manual to identify clinical cases in each of the three scales of the assessment.
Findings
Results show that all factors influence the number of cases to different extents. Young, single firefighters with high school level education were found to have the highest number of extreme cases followed by those who are non-smokers and satisfied with their job. This study did not find a relationship between sleep disorder and job dissatisfaction with regard to the number of critical cases. The prevalence of anxiety, somatic and depression cases among firefighters was found to be 11.8%, 10.9% and 10%, respectively. These findings have implications for fire service work-organization policies and for the development and monitoring of treatment programs for firefighters.
Originality/value
This work presents a comprehensive assessment on common factors that may impact prevalence of mental distress among an underrepresented firefighter community. These findings have implications for fire service work-organization policies and for updating current monitoring programs or updating new programs for firefighters.