Project PAS

Project Info

Team Members


Gaurav , Vedaanth K Gureja , Dorothy , Rupinder

Project Description


Pricing Public Transport
Background
ACT is facing a loss of public transport patronage where citizens have reduced the use of public transport post-Covid.

Problems:
High prices during peak hours.
90 minutes single fair constraint that is beneficial for the commuters but disadvantageous for the government.


#monte carlo simulation #public pricing #ai #efficiency

Data Story


Reduction of prices during peak hours.
Increase in fare prices during off-peak hours
Removal of 90 minutes constraint whilst providing a free trip after every 3 trips.

Stage 1 :
For making changes to the fare prices, we used the ACT open data (Daily Public Transport Passenger Journeys By Passenger Group)
https://www.data.act.gov.au/Transport/Daily-Public-Transport-Passenger-Journeys-By-Passe/2c8y-2p3m. to find out which passenger group uses public transport the most.
(https://www.data.act.gov.au/Transport/Boardings-By-Stop-By-Quarter-Hr/7yh9-wwyp)
We used Public Patronage by hour data(Open data) from the year 2022 to find the busiest hours.

To understand the current model ACT uses and the fairs for each passenger group we referred to
https://www.transport.act.gov.au/tickets-and-myway/get-myway.

And the proposed solution is based on the analysis done with the help of the data used from the above references.


Evidence of Work

Video

Team DataSets

This team does not currently have any datasets.

Challenge Entries

Pricing public transport

How might we price public transport to balance capacity supply and patronage demand?

Eligibility: Must use at least one ACT Government data set, either from the Open Data Portal (data.act.gov.au) or the Geospatial Catalogue (actmapi-actgov.opendata.arcgis.com).

Go to Challenge | 10 teams have entered this challenge.