Analyse nationwide planning application data from Planit

[Robinlovelace]

Split-out from the mega issue #13.

[mvl22]

Can you clarify what the "analysis" means in this case - what kinds of things about the data are being analysed? Can hopefully then give some input.

Is this perhaps just this one (which it sounded like Andrew is also having a look at possibly?) :

• Analyse the existing large datasets to find out which are not actually large

[Robinlovelace]

Can you clarify what the "analysis" means in this case - what kinds of things about the data are being analysed? Can hopefully then give some input.

What % of trips are made by active travel in areas with new developments compared with national averages?#

What range of JTS scores are most commonly associated with new development locations and how do they compare with national averages and ranges?

What are average distances to city centres, rail stations, bus stops?

How can answers to all these questions be visualised. In the first instance exploratory data analysis and visualisation will be enough. It would be good to feed results into app 1 and maybe app 2 also. Sound reasonable? Any other thoughts very welcome, good to have it as a separate issue leaving #13 to focus on analysis to support correct identification of large (10 or more dwellings, right?) developments.

[Robinlovelace]

Place to start:

• Visualise - map for the report
• Exploratory data analysis what the data looks like for the report

% active travel in the area directly dev. sites.

• Population weighted % walking, % cycling and % active associated with developments vs national

JTS variables to get for each development:

• Average travel time in minutes to the nearest x where x is the destination type (workplace, shops, schools etc) by public transport (the priority because we don't have PT data in there)
• Average travel time in minutes to the nearest x where x is the destination type (workplace, shops, schools etc) by cycling
• Average travel time in minutes to the nearest x where x is the destination type (workplace, shops, schools etc) by cycling

I suggest getting those 3 variables for trips to town centre first.