Outdoor Lighting and Crime - Amper
Outdoor Lighting and Crime - Amper
Outdoor Lighting and Crime - Amper
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City <strong>and</strong><br />
State/Territory<br />
Population,<br />
thous<strong>and</strong>s<br />
<strong>Crime</strong> Rate %<br />
Annual Upward<br />
Light Energy Loss<br />
per Unit Area,<br />
MW.h/km2<br />
Melbourne, Vic 3 466 10.48 3.82<br />
Perth, WA 1 381 14.78 3.65<br />
Sydney, NSW 4 086 16.74 3.48<br />
Brisbane, Qld 1 627 13.23 2.98<br />
Adelaide, SA 1 096 21.5 2.85<br />
Newcastle, NSW 483 19.15 2.69<br />
Canberra, ACT 350 6.81 2.27<br />
Gold Coast, Qld 404 15.3 1.77<br />
Population data are either from ABS (2003) or from the crime data sources, ACT<br />
(2002a,b), BOCSAR (2002), OCS (2002), OESR (2002), Vicpol (2002a,b), <strong>and</strong><br />
WAPS (2002). Light energy loss per unit area measures are by satellite (Isobe <strong>and</strong><br />
Hamamura 1998). The crime <strong>and</strong> light energy loss data are plotted in Figure 14.<br />
Regretably, the homogeneity of the crime data used is quite deficient. Individual states have<br />
idiosyncratic differences in their criminal justice systems. States are free to agree on<br />
publication of crime statistics with a common basis but apparently this has not yet been<br />
achieved. 65 Much effort went into trying to assemble a crime data set for areas that<br />
approximated the areas given for the DMSP data. In the case of Sydney, for example, this<br />
required removal of crime <strong>and</strong> population data for the outermost ring of local government<br />
areas, most of which are rural. The Sydney <strong>and</strong> Newcastle data included speeding offences<br />
but data for the remaining cities apparently did not. Other problems were lack of information<br />
on the area covered, <strong>and</strong> police districts that did not match the city shape <strong>and</strong> extended well<br />
beyond the city limits. As far as could be ascertained, the data periods for some of the cities<br />
were calendar years, <strong>and</strong> for others, financial years. The years chosen were the earliest for<br />
which data were readily available in each case. It would have been easy in some cases to<br />
manipulate the figures up or down by choice of areas or choice of crimes for inclusion or<br />
exclusion.<br />
Given these problems, the scatter in Figure 14 is hardly surprising. <strong>Crime</strong> prevention research<br />
is hampered by such poor data. The small number of cities with light energy loss measures<br />
was a further h<strong>and</strong>icap.<br />
65 No major agencies or departments of the Australian Government facilitate the collection or<br />
integration of national crime data. This has led researchers to make statements such as “This<br />
certainly makes research <strong>and</strong> analysis of crime somewhat challenging” (Murray, McGuffog,<br />
Western <strong>and</strong> Mullins 2001).<br />
77