The Location of Fire Stations in a Rural Environment: A Case Study

Richard, Denis; Béguin, Hubert; Peeters, Dominique

doi:10.1068/a220039

Cited by 29 publications

(8 citation statements)

References 10 publications

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“…Those NYCRI papers at or below the centre of the network (Kolesar and Blum, 1973;Kolesar and Walker, 1974;Kolesar et al, 1975;Ignall et al, 1982;Swersey, 1982) focus on urban fire services, but related non-NYCRI papers comprising the lower half of the network are not likewise dominated by this particular focus. Unlike the upper region of Figure 2, relatively few publications here represent continuing research into fire service beyond urban settings, such as revisiting the fire station location planning problem in a rural context (Richard et al, 1990). Rather, the original location, travel and allocation NYCRI models are cited in many studies considering the same issues in contexts such as emergency medical services (Daskin and Stern, 1981;Eaton et al, 1985;Zhu and McKnew, 1993;Brotcorne et al, 2003), or search and rescue operations (Armstrong and Cook, 1979;Van der Meer et al, 2005).…”

Section: Figurementioning

confidence: 97%

Fifty years of operational research and emergency response

Simpson

Hancock

2009

Journal of the Operational Research Society

169

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Over the past 50 years, a wealth of applications has resulted from researchers turning their attention to operations such as fire suppression, law enforcement and ambulance services. The 1970s might even be argued as the 'golden age' of this particular effort, producing many of the seminal works in fire station location planning, unit assignment and ambulance queuing models. Such efforts naturally continue through to the present, but with a focus shifting away from earlier contexts of established urban emergency service systems. Simultaneously, current evidence from the field suggests that far more work remains. In this paper, we review the operational research (OR) foundation in emergency response so far, highlighting the fact that most of what has been accomplished addresses the well-structured problems of emergency services. This, in turn, offers an explanation for some paradoxical challenges from the field: most of emergency response itself is semistructured, at best. While OR has traditionally focused on the management of an organization, emergency response ultimately requires the management of disorganization, suggesting an important OR growth area for the next 50 years.

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Section: Figurementioning

confidence: 97%

Fifty years of operational research and emergency response

Simpson

Hancock

2009

Journal of the Operational Research Society

169

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“…Reilly and Mirchandani (1985) proposed a median model for the selection of fire station locations in Albany, New York, with the aim of maximizing access so that each demand zone would have at least two fire stations within a desired travel time. Richard et al (1990) applied a modified PMP to site fire stations in Luxembourg, Belgium, with a threshold on response time.…”

Section: Introductionmentioning

confidence: 99%

Location optimization of urban fire stations: Access and service coverage

Yao

Zhang

Murray

2019

Computers, Environment and Urban Systems

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Fire and rescue services are among the most critical public services provided by governments to protect people, property and the environment from fires and other emergencies. Efficient deployment of fire stations is essential to ensure timely response to calls for service. Given the geographic nature of such problems, spatial optimization approaches have long been employed in public facility location modeling along these lines. In particular, median and coverage approaches have been widely adopted to help achieve travel-cost and service-coverage goals, respectively. This paper proposes a bi-objective spatial optimization model that integrates coverage and median goals in the service of demand areas. Based on the properties of derived objective functions, we presented a constraint-based solution procedure to generate the Pareto frontier, enabling the identification of alternative fire station siting scenarios. The developed model is applied to an empirical study that seeks to identify the best fire station locations in Nanjing, China. The results demonstrate the value of spatial optimization in assisting fire station planning and rescue resource deployment, highlighting important policy implications.

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“…Among the more popular accessibility-based criteria are efficiency, equality, equity, and coverage, although a variety of other factors might determine the final spatial configuration of the facility system (Massam 1993). In any case, even when attention is focused solely on accessibility-cost criteria, studies invariably show that different cost criteria will elicit different optimal solutions (Hodgart 1978;Rushton 1979;Massam 1980: Richard et al 1990). For instance, the best spatial configuration based on efficiency (minimizing aggregate or average travel costs to all users) rarely coincides with the best spatial configuration based on equality (minimizing the spread or distribution of these travel costs among all users).…”

Section: Introductionmentioning

confidence: 99%

Resolving Location Conflict with Standardized Space-Cost Curves

Mulligan

2000

The Professional Geographer

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Location analysis is concerned with the siting of facilities according to various cost criteria. Accessibility-based cost criteria typically generate different optimal solutions (least-cost location configurations) and location conflict arises. This paper outlines a new way to resolve such conflict-for single facilities sited in one-dimensional space. Piecewiselinear space-cost curves for two well known criteria, efficiency and equality, are first transformed into standardized ( Z -score) curves. A family of hybrid space-cost curves is then generated, where each member of the family reflects different fractional weights, w and 1-w , being placed on efficiency and equality. Decision-makers or users can assign these weights directly to the two criteria, thereby determining the most appropriate hybrid space-cost curve used in resolving location conflict. This hybrid curve provides standardized, two-criteria cost information for all possible facility locations.

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The Location of Fire Stations in a Rural Environment: A Case Study

Cited by 29 publications

References 10 publications

Fifty years of operational research and emergency response

Fifty years of operational research and emergency response

Location optimization of urban fire stations: Access and service coverage

Resolving Location Conflict with Standardized Space-Cost Curves

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