EasyBuzz Parking

Project Info

Team Name

MelbourneGo

Team Members

2 members with unpublished profiles.

Project Description

Our project aims to make it easier for and organisations (specifically the ATO) to target underutilized locations to set up their business (or tax help centre).

Data Story

We used live parking sensor data from City of Melbourne to discover areas that have lots of available parking, and combined this with ATO's data to show available parking in postcodes alongside demand for ATO tax help in each postcode (using number of people in 2021 (as determined by a linear regression on past years) who will be earning $1 - $2000 per fortnight as an indicator of demand).

Evidence of Work

Video

Homepage

Team DataSets

postcodes/ city of Melbourne open data

Description of Use Used to spatially join sensor data to postcode so that it could be combined with ATO tax help centre by postcode dataset

Data Set

on-street parking data- city of Melbourne

Description of Use Periodically collected to determine areas of city that are underutilized

Data Set

Australia Taxation Office Gov Hack 2018

Data Set

Challenge Entries

Play Melbourne - A Creative City

This challenge aims to showcase Melbourne’s unique history and how the city’s landscape and iconic locations have changed over time.

Eligibility: The winning entry will: * Be an interactive/gamified solution * Use time based data to show change across the city * Use at least one City of Melbourne Open Dataset

Go to Challenge | 10 teams have entered this challenge.

More than apps and maps: help government decide with data

How can we combine data to help government make their big and small decisions? Government makes decisions every day—with long term consequences such as the location of a school, or on a small scale such as the rostering of helpdesk staff.

Eligibility: Use at least two data sets (at least one from data.gov.au) to help government make a decision that will improve services for people. Any code produced for your entry must be published on github under an open license. If your entry is not software, you will need to show the working behind your use of data along with any calculations and analysis you did. You must indicate which specific government agency (at any level of government) can take action based on your entry.

Go to Challenge | 58 teams have entered this challenge.

Bounty: Tax Help Centers

Looking at how the ATO could use artificial intelligence or machine learning to locate the best locations for Tax Help Centers

Go to Challenge | 21 teams have entered this challenge.

Activate Melbourne - A Prosperous City

This challenge aims to simplify the steps taken to decide where a new business could be located, or where there is underutilised space in the city.

Eligibility: The winning entry will: * Include city activation information (such as events, busking, pedestrian activity). * Be viewable as a map of activated (and unactivated) areas. * Be fun to use. * Support new businesses and a start-up economy. * Use at least one City of Melbourne Open Dataset.

Go to Challenge | 10 teams have entered this challenge.

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