rCITI Walking Cycling counts

A basic open source dashboard of UNSW Research Centre of Integrated Transport Innovation (rCITI) data.

Contributions are very welcome!

Data Attribution and license

UNSW Research Centre of Integrated Transport Innovation (rCITI).

Raw CSV data is downloadable from the public/data directory. Published under CC BY-SA 4.0.

Contact Meead Saberi for further information: meead.saberi@unsw.edu.au

Local dev setup

nvm use
npm i
npm run generate-data # Generate JSON from CSVs
npm run start

Regenerating data

• Head to https://www.eco-visio.net/v5/login and login
• Select Analysis tab on sidebar
• Select Previous version of Analysis page at the top
• Select Time series graphic
• Under Period select Whole Period
• Choose 15 min / Hour / Day interval as desired
• Select Table (not Chart - you can download from the Chart view but <=1hr frequency fails due to too much data)
• Select Apply
• Select Download, and select CSV format
• Select comma separated delimeter (default)
• Download to ./public/data/... and adjust filename
• Repeat for all three files (15 min, hour, day)
• Run generate-data script as per above
• Commit the results & updated CSV.

Note: If you're getting lots of ^M characters in the Git diff, you should convert the newlines from Windows to Unix format using your preferred method. Eg. On Debian / Ubuntu:

sudo apt-get install dos2unix
dos2unix *.csv

• Run npm run generate-data to generate JSON from CSVs

• If you see the error

Unhandled Rejection: Error: Heading of row (53 Perouse Rd) not in our 'locations' type (do you need to add it?)

you'll likely need to add the new location strings into src/types.ts and find the location coordinates too

How to get coordinates for a new location from Eco Visio

• Head to https://www.eco-visio.net/v5/login and login
• Select Sites in sidebar
• Click on the new site (that likely caused a type error on JSON generation as mentioned above)
• Select Location in sidebar
• Add these values into counterLocationCoordinates in src/types.ts

Further reading / watching on rCITI walking & cycling counts

• https://thebox.unsw.edu.au/video/rciti-seminar-tanaponlilasathapornkit-insights-from-walking-count-data-in-sydney-cbd-20220915

• https://thebox.unsw.edu.au/video/rciti-seminar-by-a-prof-meead-saberi-estimating-walking-and-cycling-volumes-across-sydney-20220901

Code attribution

AGPL (GNU AFFERO GENERAL PUBLIC LICENSE)

Original author: Jake Coppinger (jake@jakecoppinger.com)