Facility Location Research Articles

Abstract 4137823: Influence of Hospital and Cardiac Rehabilitation Facility Proximity on Enrollment Rates Among Medicare Beneficiaries

Background: Participation in cardiac rehabilitation (CR) is enhanced by proximity to CR facilities and communication between inpatient and outpatient settings but may become fragmented when patients are distant from their discharging hospital and nearest CR facility. Research Question: This study investigates how patient distance to both hospitals and CR facilities impacts the rates of CR participation. Methods: This study included 100% Medicare fee-for-service claims for beneficiaries with 12 months of continuous Part A/B coverage who had coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), or surgical or transcatheter aortic valve replacements (SAVR or TAVR) between 07/2016-12/2018, excluding patients discharged to hospice or died within 30 days. Google Maps defined travel distances from the patient to hospital and CR facility locations using geographic centroids of ZIP codes, which were then categorized into quartiles. CR enrollment was defined as attending at least one session within one year of discharge. Logistic regression models estimated marginal CR enrollment rates across both hospital and CR facility distance categories adjusting for patient, hospital, and regional factors. Results: The study included a total sample of 501,049 beneficiaries undergoing PCI (62%), CABG (19%), SAVR (7%), and/or TAVR (15%). The median travel distance to the hospital was 18.6 miles (IQR 8.2-43.3 miles) and to the CR facility was 7.7 miles (IQR 2-15.3 miles). A total of 188,963 (37.7%) beneficiaries attended at least one CR session, which varied across categories of distance to hospital (Q1: 36.8% to Q4: 37.5%) and CR facility (Q1: 44.7% to Q4: 30.0%, p<0.01). Adjusted CR enrollment rates improved when beneficiaries lived farther from their admitting hospitals but closer to CR facilities (Figure 1), with the highest enrollment for those located farthest from their admitting hospital but closest to the CR facility (47.5%) and lowest enrollment among those closest to the hospital but farthest from the CR facility (20.6%). Conclusions: Greater distance to the admitting hospital was associated with higher CR enrollment, while greater distance to the CR facility was associated with lower enrollment among eligible Medicare beneficiaries. Addressing geographic barriers to CR participation may require tailored solutions based on patient proximity to hospitals and CR facilities.

Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province

Abstract. The accelerated adoption of photovoltaic (PV) systems for renewable power generation in the Philippines will yield a tremendous amount of PV waste. However, the country lacks a comprehensive framework for understanding PV module waste volume growth and optimally siting Treatment, Storage, and Disposal (TSD) facilities for PV waste management based on minimum siting factor. The study aims to develop a regional framework that utilizes a geographic information system (GIS)-based approach to find the potential sites and optimal locations of TSD facilities in Laguna, Philippines, based on the estimated PV module waste growth of solar energy systems with service contracts and minimum siting criteria under Department of Environment and Natural Resources (DENR) Administrative Order 2013-22. By 2060, the projected amount of PV module waste in Laguna province will be around 162,230 metric tons based on the waste projection results. The suitable sites cover around 19,720.5 hectares or 11.21% of the total land area of Laguna, which were determined by various siting factors that encompass social, economic, and environmental factors and obtained using binary suitability analysis and vector overlay analysis. The optimal locations of the two TSD facilities were identified using strategic positioning based on hotspot analysis, clustering algorithm, and proximity analysis. Consequently, the distance and GHG emissions of the two optimal locations were calculated. Indeed, the approach will serve as a guide for policymakers and other stakeholders in understanding PV module waste growth and strategically and optimally position TSD facilities on suitable sites for efficient and effective PV waste management.

A Bilevel Approach to the Facility Location Problem with Customer Preferences Under a Mill Pricing Policy

This paper addresses the facility location problem under a mill pricing policy, integrating customers’ behavior through the concept of preferences. The problem is modeled as a bilevel optimization problem, where the existence of ties in customers’ preferences can lead to an ill-posed bilevel problem due to the possible existence of multiple optima to the lower-level problem. As the commonly employed optimistic and pessimistic strategies are inadequate for this problem, a specific approach is proposed bearing in mind the customers’ rational behavior. In this work, we propose a novel formulation of the problem as a bilevel model in which each customer faces a lexicographic biobjective problem in which the preference is maximized and the total cost of accessing the selected facility is minimized. This allows for a more accurate representation of customer preferences and the resulting decisions regarding facility location and pricing. To address the complexities of this model, we apply duality theory to the lower-level problems and, ultimately, reformulate the bilevel problem as a single-level mixed-integer optimization problem. This reformulation incorporates big-M constants, for which we provide valid bounds to ensure computational tractability and solution quality. The computational study conducted allows us to assess, on the one hand, the effectiveness of the proposed reformulation to address the bilevel model and, on the other hand, the impact of the length of the customer preference lists and fixed opening cost for facilities on the computational time and the optimal solution.

SPATIAL DISTRIBUTION AND PATRONAGE OF RECREATIONAL FACILITIES IN UNIVERSITY OF ILORIN, NIGERIA

The paper examined the spatial distribution and patronage pattern of recreational facilities in the University of Ilorin (UNILORIN). The study used primary data, which were obtained through a structured questionnaire administered randomly to the selected academic and non - teaching staff of UNILORIN. Geo-spatial data on the locations of the recreational facilities were collected and analyzed with the use of Global Positioning System (GPS) and Nearest Neighbour Analysis respectively. Pearson’s Product Moment Correlation Analysis was employed to examine the relationship between residence and patronage of recreational facilities at 5% level of significance. With an Rn value of 1.47 (p=0.000378), the distribution of recreational facilities in UNILORIN was dispersed. The paper also observed that, there was no significant relationship between staff place of residence and their patronage of recreational facilities (r = 0.05, p value = 0.474). The study established that health benefits and pleasure with Enhancing Factor Index of 2.58 and 2.46 respectively, were the major enhancing factors of recreational facilities patronage. The paper concluded that locations of recreational facilities are far from each other and by implication the distribution is nor regular. The paper therefore recommended that future recreational facilities should be evenly distributed so as to foster more patronage by staff members of University of Ilorin.

SPATIAL DISTRIBUTION AND PATRONAGE OF RECREATIONAL FACILITIES IN UNIVERSITY OF ILORIN, NIGERIA

The paper examined the spatial distribution and patronage pattern of recreational facilities in the University of Ilorin (UNILORIN). The study used primary data, which were obtained through a structured questionnaire administered randomly to the selected academic and non - teaching staff of UNILORIN. Geo-spatial data on the locations of the recreational facilities were collected and analyzed with the use of Global Positioning System (GPS) and Nearest Neighbour Analysis respectively. Pearson’s Product Moment Correlation Analysis was employed to examine the relationship between residence and patronage of recreational facilities at 5% level of significance. With an Rn value of 1.47 (p=0.000378), the distribution of recreational facilities in UNILORIN was dispersed. The paper also observed that, there was no significant relationship between staff place of residence and their patronage of recreational facilities (r = 0.05, p value = 0.474). The study established that health benefits and pleasure with Enhancing Factor Index of 2.58 and 2.46 respectively, were the major enhancing factors of recreational facilities patronage. The paper concluded that locations of recreational facilities are far from each other and by implication the distribution is nor regular. The paper therefore recommended that future recreational facilities should be evenly distributed so as to foster more patronage by staff members of University of Ilorin.

Facility location and restoration games

Effective recovery of interdependent infrastructure systems after natural disasters requires coordination between multiple infrastructure owners, such as power and telecommunications utilities. If infrastructure owners make restoration decisions in isolation from one another, then recovery may be piecemeal. A fundamental understanding of these interdependencies can provide insights to incentivize shared restoration that benefit all infrastructure users, with the goal to maximize the social welfare even in a non-cooperative setting. We introduce a non-cooperative facility location and restoration game on a layered network, where each layer belongs to a player, to model the recovery of interdependent infrastructure systems after disasters. The goal of the model is to plan short term post-disaster recovery. The players want to minimize the cost to satisfy their own demand by restoring network components, and each player can serve the other players’ demands if they are paid a fee to do so. We propose exact and approximate algorithms to set incentives (fees) so that the players’ actions at equilibrium are aligned with a social optimum of the system, which minimizes the total cost. We present a case study in which we consider the recovery efforts of telecommunication infrastructure companies and provide results for the facility location and restoration games. The models and proposed algorithms can be used to set policy, inform the structure of inter-agency mutual aid partnerships to support disaster recovery, and negotiate inter-agency usage fees prior to a disaster to ease shared recovery efforts.

A multi-period capacitated facility location problem with maximum travel time and backup service for locating and sizing EMS stations

Emergency medical services (EMS) is a system that provides emergency medical care for incidents involving serious illness or injury. The location of EMS stations plays an essential role in delivering effective and efficient medical services. Numerous location models have been developed for locating and sizing EMS stations. However, it remains challenging to satisfy all EMS planning criteria within a single location model. In this study, a multi-period capacitated facility location problem with maximum travel time and backup service (EMSLSP) is proposed for locating and sizing EMS stations. The most important criteria for EMS planning are taken into account in EMSLSP: the demand changes due to population mobility, the maximum service capacity of an ambulance, the maximum number of ambulances at each EMS station, the maximum travel time from each EMS station to the locations it serves, the full coverage of dynamic demand, the minimum percent of population covered by EMS service in a specific travel time, and a backup station for each demand location in case of need. A case study in Zhengzhou, a large city in China, demonstrates that effective and efficient locations and sizes of EMS stations can be determined by solving the EMSLSP with various planning parameters. Compared with the existing EMS systems, the average ambulance travel time and the percentage of the population served are significantly improved. Simulations of ambulance scheduling confirm that the relocated and resized EMS stations perform better than those in the existing system. The evaluation-optimization-simulation method outlined in this paper provides a comprehensive and effective approach for EMS station planning.

A Geospatial Analysis of the Association between Access to Tanning Bed Facilities and Melanoma in the United States New England Region.

Substantial geographic disparities in melanoma incidence and access to tanning bed facilities exist. In this spatial ecological study, we evaluate the relationship between access to tanning bed facilities and melanoma incidence. New England county-level melanoma incidence rates (2014-2018), tanning bed facilities location, demographic data, socioeconomic data, and geographic data were obtained from the National Cancer Institute State Cancer Profiles, Data Axle, American Community Survey, and United States Geological Survey. Spatial regression models were utilized to determine the association between melanoma incidence and access to tanning beds, adjusting for confounding factors. Adjusted spatial regression identified that for every 1-minute increase in average travel time to tanning facilities within 30 minutes travel time threshold, the melanoma incidence rate decreased by 3.46% in the same county and by 1.92% across New England. We found a negative association between average travel time to tanning facilities and county-level melanoma incidence rate, suggesting that policy aimed at decreasing access to indoor tanning facilities has the potential to reduce melanoma rates. High-risk clusters, with respect to county-level melanoma rate, were also identified. Targeting of interventions and resources to high-risk clusters may reduce geographic melanoma rates disparities.

Designing and improving the efficiency of placement of logistics infrastructure for storage, distribution and trade of agri-food products

Purpose: The article considers a methodological approach to the formation and determination of potential locations of logistics infrastructure: warehouse storage facilities, wholesale distribution centers for storage, marketing and trade of agro-food products.Design/methodology/approach: A study of 204 objects - administrative districts and cities of Kazakhstan, where the production, storage, distribution and trade of agri-food products is carried out. The standardization of indicators, cluster, correlation-regression, factor analysis was carried out, the method of ranking and center of gravity.Findings: At the first stage of the study, potential locations of distribution centers of agricultural products were identified based on the proposed criteria. Based on factor analysis, new factors have been formed in order to determine the criteria for choosing the location of the logistics infrastructure. Cluster analysis made it possible to differentiate territories and determine the characteristics of the logistics infrastructure for their placement, depending on their specialization. At the second stage, the potential locations of logistics infrastructure and the geographical location of objects on the territory of administrative-territorial units were clarified. At the third stage, with the help of weighting coefficients and an integral indicator of the attractiveness of the location of logistics infrastructures, the service area of the logistics infrastructure of storage, sales and trade is determined in accordance with potential locations on the territory. The proposed approach, in contrast to the existing ones, takes into account the peculiarities of the functioning of the storage, marketing and trade infrastructure and links these facilities with transport and warehouse availability in the regions.Research limitations/implications: The study is aimed at complementing existing approaches and methods for determining the location of logistics infrastructure facilities with a more detailed account of the specialization of districts and the economic potential of regions.Practical implications: The conclusions allow us to use different criteria when determining the location of logistics infrastructures depending on their purpose. They also provide important information in the process of designing logistics infrastructure, conducting a differentiated investment policy during their construction and operation.Originality: In this article, a new point of view is given on the choice of criteria for the placement and determination of the number of logistics infrastructure, based on their functional purpose, specialization of districts and the potential of regions, which increase their efficiency.

Theoretical foundations and practical implementation of supply chain optimization a metal fabrication business model

In the dynamic landscape of modern business, effective management of supply chains stands as a cornerstone of organizational success and competitive edge. This study investigates the theoretical principles and practical implementations of optimization models aimed at refining supply chain operations in the metal fabrication business, giving the maximum profit. It begins with a comprehensive survey of optimization theory, encompassing linear programming, integer programming, and stochastic optimization. It proceeds to their application in addressing diverse challenges encountered in supply chain management. The discussion includes deterministic models, such as those optimizing facility location under capacity constraints and transportation logistics, alongside stochastic models designed to manage uncertainties inherent in demand forecasting and inventory control. Advanced methodologies like metaheuristic algorithms and multi-objective optimization techniques are examined for their capacity to navigate the intricate and often conflicting objectives within supply chain networks. Through comprehensive theoretical analysis and a study of the supply chain model developed for the metal fabrication business, this paper contributes to advancing knowledge in mechanical engineering and supply chain management, offering insights pertinent to practitioners and researchers alike. Ultimately, it emphasizes the critical role of optimization models in optimizing efficiency, reducing costs, improving profit margin, reducing CO2 emission, and enhancing competitiveness in modern supply chain operations.

AN INTEGRATED APPROACH TO IDENTIFY SUITABLE AREAS FOR THE LOCATION OF PUBLIC FACILITIES USING MULTI-CRITERIA ANALYSIS BASED ON GIS AND AHP IN THE CITY OF EL KHROUB, ALGERIA

Random and spontaneous urban growth is the result of massive natural population growth, as it is in all developing countries. As for our study air, it also results from the unloading of the mother city of Constantine to the satellite city of El-Khroub, which gave urbanization the power to take over its vast environment, An uneven distribution of public facilities in the city’s major districts, as well as traffic jams. This work attempted to determine the suitability of urban land for the location of public facilities in the city. It should be noted that land suitability assessment is a major factor in urban planning and management. Our land adequacy assessment is subject to the AHP model, calculating the weighting of various criteria including physical, socio-economic, environmental and urban. The final adequacy analysis revealed the proportion of land most suitable, estimated at 3.52% of the total area, covering mainly fallow land. The results of this study provide a detailed mapping of urban development potential, integrating both existing data and future projections.

Structural barriers and facilitators to accessing HIV services for marginalized working populations: Insights from farm workers in South Africa.

Farm workers are a vulnerable working population that face significant inequalities in accessing health services, including those for HIV prevention, treatment, and care. This descriptive phenomenological study aimed to explore farm workers' experiences when accessing HIV services, and was conducted in Limpopo province, South Africa. Eighteen in-depth interviews (IDIs) were conducted in four health facilities from two districts, and two focus group discussions (FDGs) were conducted in one of the farms within the province. Purposive and systematic random sampling were used to select study participants. A deductive thematic approach was used to analyze data, informed by the social-ecological model of health. The results reveal that farm workers perceive multiple interdependent factors that inhibit or enable their access to HIV healthcare services. Key barriers to HIV healthcare were transport affordability, health worker attitudes, stigma and discrimination, models of HIV healthcare delivery, geographic location of health facilities, and difficult working conditions. Key facilitators to HIV healthcare included the availability of mobile health services, the presence of community health workers, and a supportive work environment. The findings suggest disparities in farm workers' access to HIV services, with work being the main determinant of access. We, therefore, recommend a review of HIV policies and programs for the agricultural sector, and models of HIV healthcare delivery that address the unique needs of farm workers.

Spatial participatory planning for urban logistics: A GIS-enhanced Real-Time Spatial Delphi approach

Effective urban logistics planning plays a crucial role in effectively managing infrastructure and transportation networks, contributing to the mitigation of negative externalities associated with last-mile deliveries and fostering city sustainability. Among the various facets of supply chain management, selecting appropriate locations in urban areas for logistics facilities, such as automated parcel lockers and smart loading bays, stands out. However, the complexity of decision-making in this context, involving diverse stakeholders with potential conflicting objectives, poses a significant challenge in reaching a common consensus. This paper proposes an innovative approach to address this issue by adopting a spatial participatory process that combines GIS models and Real-Time Spatial Delphi to identify suitable locations for two logistic facilities. The case study is the city of Dublin (Ireland), where an Urban Living Lab of the H2020 project SENATOR is based. A modified Delphi is used, first gathering expert opinions on preferences and objectives. These insights are then used to develop a spatial analysis using GIS, ranking areas according to the expert preferences. These outcomes form the basis for the Real-Time Spatial Delphi, where stakeholders and experts working on the project collaboratively engage to achieve a spatial consensus on the territory. The findings of this study provide valuable information for stakeholders, policymakers, local authorities, and governmental bodies to implement specific actions. Through the active involvement of key actors in the decision-making process, this approach ensures that the selected locations for logistics facilities align with the needs of all parties involved.

Enhancing Urban Mobility with Aerial Ropeway Transit (ART): Future Accessibility Impacts of Multimodal Transit Expansion Scenarios

Aerial ropeway transit (ART) systems are emerging alternatives to augment existing transit systems in congested cities in the Global South, especially in urban areas with limited transit coverage because of road width constraints or topography. Integration of aerial cable car stations to an existing transit network can improve the overall accessibility of various population segments with significant positive benefits in relation to reducing transport-related social exclusion. This study evaluated the impact of introducing ART in the city of Varanasi (India) and assessed the spatial accessibility improvements to critical facility locations such as heritage sites, educational institutions, hospitals, and employment centers. Several multimodal transit expansion scenarios were considered in this study and the potential benefits of each case were quantified using the two-step floating catchment area (2SFCA) method. A multi-criteria decision-making (MCDM) approach was subsequently employed for identifying the optimal locations of ART stops. Microlevel analysis findings suggest that the mean accessibility values could increase up to 10.92% in the first phase of the ART implementation, which could subsequently increase to 24.7% and 49.8% for the subsequent transit expansion scenarios. The study also investigated the Varanasi ART DPR prepared by Varanasi Development Authority (VDA) and showed that a significant increase of 16% in accessibility levels could be achieved if optimal stop locations identified in this study were implemented. The proposed two-step (2SFCA+MCDM) method for identifying the optimal locations of ART stations in a multimodal transit network is expected to be an effective tool for transit system redesign using place-based accessibility measures.

A Study on Urbanization Promotion Area Incorporation by Population Frame and Urban Facility Location Plan Operation

A Study on Urbanization Promotion Area Incorporation by Population Frame and Urban Facility Location Plan Operation

Geographic inequities in hemodialysis access: a call to reassess dialysis facility locations in Brazil.

Patients who travel more than 60 min to undergo hemodialysis may experience higher mortality and lower quality of life. The primary aim of this study was to calculate the travel distance between patient city areas and dialysis facility care locations in Brazil, to highlight barriers and need to optimize access to chronic dialysis. We conducted a retrospective cohort study using claims data from the Brazilian Public Health System's database, focusing on kidney replacement therapy (KRT) by hemodialysis. Our study population comprised all patients undergoing hemodialysis in Brazil between January 2023 and December 2023. For patients from different city areas, we calculated the Haversine distance between the patient city area and the dialysis facility. We evaluated 154,788 patients who received hemodialysis funded by the Brazilian Public Health System. Fifty-nine percent of the patients underwent dialysis in the same city area. Overall, patients traveled a median (IQR) distance of 35.9 [19.5 - 64.2] kilometers to the facilities, 48% traveled more than 40 km, with a maximum traveling distance of 353 km. Notably, the median distance traveled was shortest in the Southeast (27.6 km) and longest in the North (84.3 km). The number of patients that traveled more than 40 km was lower in the Southeast (32%) and higher in the North region (77%). The travel distance to the dialysis facility is an important inequity to KRT access in Brazil. In the South and Southeast, where there is a higher dialysis unit density, patients have greater regional availability of dialysis centers, and shorter traveling distances than in the North, Midwest, and Northeast regions.

A Study on Consistency and Its Actual Situation of Hub Setting by Urban Facility Location Plan and Regional Public Transportation Plan in Local City

A Study on Consistency and Its Actual Situation of Hub Setting by Urban Facility Location Plan and Regional Public Transportation Plan in Local City

Inequalities in emergency service accessibility: spatial analysis of urban infrastructure

PurposeThis study aims to investigate the relationship between emergency response times and crash severity in New York City, focusing on spatial disparities and their implications. It examines how these disparities impact disadvantaged neighborhoods, particularly regarding traffic safety and emergency service accessibility.Design/methodology/approachThe research uses comprehensive spatial analysis techniques, including hotspot mapping, network analysis for travel time modeling, local bivariate correlation analysis and service area calculations. It maps crash data alongside emergency facility locations, considering peak-hour traffic. The Area Deprivation Index (ADI) is integrated to evaluate socioeconomic factors influencing accessibility. This approach provides a nuanced understanding of how emergency response times correlate with crash severity at the census block level, accounting for socioeconomic disparities.FindingsThis study reveals significant disparities in emergency response times across New York City. In high-poverty, predominantly minority areas, response times are 2–3 min longer than average, correlating with a 15% increase in severe injury rates. Over 20% of neighborhoods show correlations between response times and crash severity, with positive linear (5.51%), negative linear (10.72%), concave (2.44%) and convex (2.80%) relationships. Blocks with positive linear relationships have a mean ADI rank of 3.918. During peak hours, 69.7% of Manhattan blocks show negative relationships, the highest among boroughs.Originality/valueThis research highlights spatial justice issues in urban emergency response systems, emphasizing the need for localized, data-driven planning and infrastructure adjustments. By integrating the ADI, the multifaceted approach reveals the complex dynamics of socioeconomic factors and emergency service accessibility that have not yet been investigated in diverse urban communities.

Identifying optimal locations for the development of health facilities towards the attainment of universal health coverage using geospatial techniques in Kishapu district, Tanzania

Two hours of travel time specified by the World Health Organization (WHO) to access quality health services is among the most important criteria for the Universal Health Coverage. However, locations of health facilities (HF) in many developing countries fail to realise this target due to a lack of appropriate models considering the local environment. This work used the central-place theory to explore locations of HF in Kishapu and their accessibility status based on two means of transport in the AccessMod tool: walking only and the combination of walking-and-motor devices. The results of the walking scenario indicated that the travel times to the health centres and hospitals exceeded 2 hours, and a direct relationship existed between the facility level and the travel time spent to access it. The combined transport (walking and motorized) showed that dispensaries are easily accessible (14.5 minutes) compared to health centres (42.8 minutes) and hospitals (67.3 minutes). To address the challenge, we have developed a model revealing optimal sites with quick access for HF construction and improvement using Multi-Criteria-Evaluation and Analytical-Hierarchy Process methods weighting five criteria including distance from settlements (44% weight), roads (26% weight), existing health facilities (16% weight), rivers (9% weight) and railway (5% weight). A test of the model with both means of transport shows that at all places proposed to be optimal allow patitents to travel in less than two hours, indicating that the proposed model can effectively and efficiently solve the challenge of allocating HF in society.

Evaluation of the Effectiveness of Existing Preventive Fire-Fighting Measures in the City of Douala, Cameroon, to Improve Decision-Making and Public Safety

The storage of hydrocarbons in urban areas poses significant risks to local populations, including the potential for fire, explosion, groundwater contamination, and air pollution. The objective of this study is to evaluate the efficacy of current fire prevention and suppression strategies in the city of Douala. The study will be approached by first identifying, geolocating, and characterizing urban firefighting equipment. Subsequently, a proposal will be put forth for a response system to safeguard the city in the event of a catastrophic fire at a service station. In order to achieve this objective, the current regulatory framework governing the location of FH facilities was subjected to a thorough examination. Subsequently, pivotal compliance factors were identified, operationalized, and an audit checklist was formulated. A safety questionnaire was utilized to assess the equipment within service stations. GPS technology was employed to record the GPS coordinates of the FHs. GIS10.3.1 software was utilized to evaluate the BI distribution model. The data obtained from the questionnaires were analyzed using SPSS20.0 software, which revealed that the 142 BIs studied were essentially randomly distributed across the following neighborhoods. The results of the election yielded the following results: Bonamoussadi 27 (19%), Bonandjo 19 (13%), Bali 02 (1%), Deido 09 (6%), Akwa Nord 03 (2%), Bonamoussadi 18 (12%), Makepe 18 (12%), and B. The remaining 5% is distributed among the following: Assa, Bepanda, Cité-Sic, Ndogbong, Cité des Palmiers, Bonaberi, and New-Bell. Of the 142 FH identified, 30 (21.12%) lack water, and 4 (2.81%) have a flow rate of less than 30 m³/h with a dynamic pressure of less than 1 bar. Seventeen (11.97%) are inaccessible; 79 (55.63%) are operational; five (3.52%) are challenging to operate; and seven (4.92%) are situated within a private enclosure. The response time of the fire department is inadequate for all stations situated more than 3 km from their base in Ngondi-Douala. Only 17 (11.52%) of the stations are situated at distances of less than 5.83 km, which is conducive to efficient intervention. In contrast, 134 (88.74%) of the stations are located at distances of 5.83 km or more from the fire department base, which is not conducive to efficient intervention. The results indicate that the BIs are situated at considerable distances from the stations. Notably, the Total Laquitinie station is the sole city station with a FH located at its entrance. The database developed in this study could serve as a valuable resource for policymakers to inform appropriate action.