Citation

Kc K, Corcoran J, Chhetri P. Geogr. Res. 2018; 56(3): 270-284.

Copyright

(Copyright © 2018, Institute of Australian Geographers, Publisher John Wiley and Sons)

DOI

10.1111/1745-5871.12288

PMID

unavailable

Abstract

In the context of changing demand for fire services, spatial optimisation of fire coverage has attracted little scholarly attention despite its potential to improve emergency response and to inform future service planning for fire stations. Drawing on small area population forecasts, this paper extends the application of the Maximum Coverage Location Model to compute and delineate the spatial coverage of current and proposed new fire stations to align with population growth estimates for Brisbane, Australia. Our results reveal important gaps in fire cover that are likely to emerge as a result of predicted population growth, the spatial patterns of which varies across the Brisbane metropolitan area. We draw on these results to delineate a series of new potential sites for fire stations to ameliorate the reduction in spatial coverage as a consequence of predicted population growth demonstrating the utility of our analytic approach for decision-making and operational planning in the fire services.

Language: en

Keywords

Australia; Brisbane; fire coverage; fire station; location modelling; residential fire; small area population estimates