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Team Name:

Dazed and Confused


Team Members:


Evidence of Work

A story of cables and cars

Project Info

Team Name


Dazed and Confused


Team Members


1 member with an unpublished profile.

Project Description


My Bruce Highway anti-congestion scheme - this is a data story of cables and cars.


Data Story


My idea is to use the new undersea internet cable and government support to get most of the cars off the Bruce Highway. I call it "Build it and they will come". My data shows that Bruce highway congestion can be broken into two main categories. My scheme has two steps. Step 1 gives the constructions workers local jobs so we get them off the highway now. Then step 2 mean the Brisbane workers can now work locally using the internet to connect to their employer so they wont need to travel anymore either. Then we can work to create new jobs so that kids like me can get a local job once we finish school. I worked out that this will prevent 65,000 tons of carbon emissions, reduce car costs by $246 million, give employees back 6.3million hours of time or allow them to earn an extra $250 million. And, of course, travelling south will become a lot easier.


Evidence of Work

Video

Team DataSets

Peak hour traffic data Bruce Highway

Description of Use Used understand traffic patterns and estimate volumes of traffic for different commuter types.

Data Set

Sunshine Coast residents by place of work

Description of Use Calculate number of residents commuting for work

Data Set

Google Maps

Description of Use Average commute time to and from work during peak hour

Data Set

Employed persons by industry, Queensland, 1985–86 to 2017–18

Description of Use Project employment types in Brisbane into the future

Data Set

My Carbon Calculator

Description of Use Average carbon emissions per km of car travel assuming small 4wd = typical car type

Data Set

Census Data 2011 - Sunshine Coast Employment by Industry

Description of Use Project employment mix into future as a baseline for future growth

Data Set

Challenge Entries

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.

Sunshine Coast Sustainability

How can we preserve our great Sunshine Coast for the next generation?

Eligibility: Must use at least one Sunshine Coast region data set.

Go to Challenge | 12 teams have entered this challenge.

Sunshine Coast Community

How can we raise the social capital of the Sunshine Coast?

Eligibility: Must use at least one Sunshine Coast region data set.

Go to Challenge | 14 teams have entered this challenge.

Work Life Made Easy

How can we make work life easier for employers and their workforces – now, and into the future?

Go to Challenge | 27 teams have entered this challenge.

Sunshine Coast Commercialisation

How to make business boom on the Sunshine Coast?

Eligibility: Must use at least one Sunshine Coast region data set.

Go to Challenge | 11 teams have entered this challenge.

Bounty: Mix and Mashup

How can we combine the uncombinable?

Go to Challenge | 61 teams have entered this challenge.

Out of the Box - New take on data for regional development

Use an existing data set outside its normal context to both display and encourage innovate solutions to regional problems and promote and foster regional economic development.

Go to Challenge | 11 teams have entered this challenge.