09.01.2015 Views

SaHF DMBC Volume 1 Edition 1.1.pdf - Shaping a healthier future

SaHF DMBC Volume 1 Edition 1.1.pdf - Shaping a healthier future

SaHF DMBC Volume 1 Edition 1.1.pdf - Shaping a healthier future

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Figure 9.15: Example travel time maps<br />

S-curves<br />

The travel model was also used to produce „S-curves‟. This is a graph that plots all the travel<br />

times to a specific hospital or hospitals for a particular region. The curve starts at the bottom<br />

of the graph (the x axis) with the shortest possible journey and then cumulatively adds on all<br />

the other possible journey times up to the very longest travel time at the top of the graph.<br />

This means the graph can be used to show the percentage of the population that can reach<br />

their destination within a specified time. See Figure 9.16 of an example S-curve.<br />

Figure 9.16: Example travel time maps<br />

Outcomes of the travel analysis<br />

Figure 9.17 shows the travel maps for all the boroughs in NW London. The areas shaded in<br />

the darkest blue would experience an increase in travel time of between 6 to 34 minutes, if<br />

residents there had to go to their „next nearest‟ hospital. The maps showing the current<br />

configuration minus either Northwick Park or Hillingdon have the greatest amount of area<br />

shaded, demonstrating that a larger area (and therefore significant population levels) would<br />

have to travel further if either of these hospitals were no longer major hospitals. This is in<br />

comparison with the maps for St Mary‟s, Chelsea & Westminster and Charing Cross, where<br />

the area of impact is much smaller (refer to Appendix K for further details).<br />

9b. Decision making analysis stage 5 303

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!