Many of the priorities in DCMS are around engagement and attendance. In this example Peter Antoniades looked at the link between proximity to a library and attendance rates. He used details from the DCMS Taking Part (TP) Survey (2005/06), boundary shapefiles, and ONS population estimates to produce this case study.
Early results from these experimental statistics (further work is required to refine this, and to ensure the time period for Points of Interest Data and TP match), show DCMS that there are significant differences (at 95% level) between attendance rates for respondents living within 1 mile of a library to those who live further away, i.e. residents who live within 1 mile of a library had higher attendance rates (attending at least once in the last 12 months in 2005/06) than adults who live further than a mile from any library.
- Easily identifies the benefit of public libraries within an accessible distance
- The ability to update immediately to show the impact of changes in library status
- Monitoring where libraries are most used and where restricted resources can be best utilised
- Easier data sharing with other licensed users, to carry out government business
- A wider range of value-for-money geographic data is more easily available
- Robust, affordable GIS solution to support crossmanagement functions including web and intranet use
- Help to fulfil statutory remits and give customers on-demand access to essential information
- Help to put more electronic information on services, amenities and locations into the public domain