tag:blogger.com,1999:blog-7803191245171285795.post4181539446515352377..comments2024-02-24T18:05:37.846+00:00Comments on Bristol Traffic: Datamining the streetsUnknownnoreply@blogger.comBlogger3125tag:blogger.com,1999:blog-7803191245171285795.post-26699424777720568612008-12-07T14:47:00.000+00:002008-12-07T14:47:00.000+00:00"... community police state ..."You should get a g..."... community police state ..."<BR/><BR/>You should get a grant for that from BCC. Then maybe you could also administer "community punishment" to some of the 4-wheeled offenders shown on this blog.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7803191245171285795.post-11953553853484535872008-12-02T11:30:00.000+00:002008-12-02T11:30:00.000+00:00Yes, it is very demographics-dependent. If you loo...Yes, it is very demographics-dependent. If you look at the bath experiments they measured numbers at a pub and on a street, the latter comparing the number of phones vs number of people. I could have tried this with a camera on the laptop, but then data protection rules engage.<BR/><BR/>another factor is the devices are detected if they pass through the scan bubble slowly enough to get picked up; scanning takes about 30s. Anyone walking in a hurry runs a chance of being missed; anyone on the other side of the road will probably be skipped too. If they walk down one side and up the other, they won't get picked up in both directions.SteveLhttps://www.blogger.com/profile/07654931341335136008noreply@blogger.comtag:blogger.com,1999:blog-7803191245171285795.post-67713070630064166062008-12-02T09:41:00.000+00:002008-12-02T09:41:00.000+00:00It seems to me that the validity of any conclusion...It seems to me that the validity of any conclusions drawn from such data depends on the relationship between number of (switched-on) blue-tooth devices and the number of people, which is probably highly variable. <BR/><BR/>For example those passing late at night and in the early hours are more likely to be young adults and therefore perhaps more likely to have blue-tooth devices than those passing during daylight hours. <BR/><BR/>I suspect therefore the graph overstates the proportion of people passing during the night compared to the day. There may well be other less obvious factors creating a non-linear relationship between number of blue-tooth devices and people.<BR/><BR/>Nevertheless this is a very interesting experiment which I'm sure will attract more attention in due course. Perhaps you should be patenting the idea?Chris Hutthttps://www.blogger.com/profile/01532451004057748734noreply@blogger.com