Closed joeytalbot closed 4 years ago
This is the same as this task:
identify destinations. These could include shops, schools, health centres, major employment centres, town centres, and public transport (rail/bus) nodes.
This might be a good starting point https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/66795/accessibility-statistics-guidance.pdf
Very good point Malcolm, thanks for flagging that.
Also look at https://data.cdrc.ac.uk/dataset/cdrc-2017-retail-centre-centroids for shopping areas
Thanks Malcolm!
I think there is also a public database of places that have a food hygene rating, this would cover restaurants cafes etc
I think there is also a public database of places that have a food hygene rating, this would cover restaurants cafes etc
Without wishing to state the obvious, OSM is a database of places. I would have thought some kind of cluster analysis of anything in OSM with key:shop would find shopping centres / high streets pretty easily.
Nice that CDRC has a dataset too. I suppose the OSM method would be more reproducible internationally though.
We want to look at accessibility of new homes to various destinations, such as town centres, schools and public transport nodes. But how do we choose these destinations? Could 2011 census data play a role? For example, we could use commute destination data to identify nearby centres of employment.