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Team Name:

Find my Spot

Team Members:

Evidence of Work

Find my Spot

Project Info

Find my Spot thumbnail

Team Name

Find my Spot

Team Members

Tam and 1 other member with an unpublished profile.

Project Description

Find my Spot. An app or an extension to Trip Planner NSW
to help reduce commuter traffic to central business districts. Aim to ease city congestion and to improve peoples experience of public transport by suggesting a mix mode transport navigation solution.

https://youtu.be/oKRaOnH_u-I

Data Story

Use data from:
https://opendata.transport.nsw.gov.au/dataset/household-travel-survey-200708-%E2%80%93-201718
https://www.revenue.nsw.gov.au/help-centre/resources-library/dsf011.xlsx
https://opendata.transport.nsw.gov.au/node/4299/download

Evidence of Work

Video

Homepage

Project Image

Team DataSets

Infrastructure Australia Congestion Report

Description of Use Estimation of Congestion and PT crowding cost

Data Set

paid parking meter

Description of Use API for find paid meter parking spot

Data Set

Infringment notice data

Description of Use Data for infringement notice

Data Set

Household travel data

Description of Use Use to estimate travel spent

Data Set

Challenge Entries

🌟 Improving cost of living outcomes by using rules as code

Improve the NSW Government’s Cost of Living initiatives by designing a service using a coded rules engine.

Eligibility: Teams must design a service that uses either the NSW Openfisca API (if they are utilising existing coded rules) or build an Openfisca API instance themselves if they are coding their own rules. Teams can choose any of the NSW government coded rules related to Cost of Living, or alternatively code some of their own rules/policies by choosing any that apply to NSW. An example of a service that is built using OpenFisca based coded rules is the NZ Smartstart, and the rules for the service can be seen at OpenFisca-Aotearoa.

Go to Challenge | 5 teams have entered this challenge.

Reducing CBD Traffic Congestion

How to reduce traffic congestion or parking problems in CBD?

Eligibility: Use any open dataset to support your entry.

Go to Challenge | 39 teams have entered this challenge.

Public Transport for the Future

How might we combine data with modern technologies - such as AI/ML, IoT, Analytics or Natural Language interfaces - to better our public transport services. Outcomes could take the form of new commuter experiences, reduced environmental impact, or helping plan for the future.

Eligibility: Use any open dataset to support your entry.

Go to Challenge | 45 teams have entered this challenge.

🌟 Improving the customer experience of government services

How can government data be used to improve the experience of citizens interacting with government?

Eligibility: Teams can use any open datasets, but at least one must be a NSW Government dataset.

Go to Challenge | 24 teams have entered this challenge.

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