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Evidence of Work

EVe - Electric Vehicle endpoint

Project Info

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Team Name


Data Barbies


Team Members


Rita , Sharni and 1 other member with an unpublished profile.

Project Description


EVe is a solution that helps us accelerate the implementation of the National EV strategy.
It is a national interactive mapping tool to support optimal investment in – and deployment of – EV charging infrastructure. Through our user centric approach, we aim to provide insight to which type of chargers, where to build and more importantly, WHEN to build it.
By opening the portal to current or potential EV owners, EVe empowers end users to actively take part in the shaping of our future EV landscape and provide market driven insights to charger providers.


#optimisation ev usercentricmodel chargerrollout

Data Story


In the bustling world of electric vehicles (EVs), there's a growing need for charging stations. But where should they be located to best serve the community? Let's dive into data to find out. The "Population" data offers a lens into where the majority reside, highlighting potential hotspots for EV charging demand in the future. With "Commute Distance" data, we understand daily travel habits. If most people are covering long distances, charging stations on main routes become essential. Conversely, shorter commutes suggest a need for stations in city centers or residential areas. The "EV buyers" data, showcasing current and projected EV registrations, acts as a barometer for future charging demand.
But it's not just about demand; supply-side considerations are equally crucial. The "Electricity Infrastructure" dataset ensures that when we place a charging station, it's powered efficiently, tapping into existing transmission lines and renewable energy sources. Beyond commuting, the "Places of Interest" data underscores the importance of integrating charging into daily life, suggesting stations near shopping centers, parks, and other hubs. Economic dynamics, captured in the "Income data", hint at regions where EV adoption might be rapid, necessitating more stations. The "Road routes" data ensures we address range anxiety, placing stations strategically on popular routes. And to truly optimize placement, the "Traffic Volumes" dataset guides us to the busiest roads, ensuring maximum utility for EV drivers.
By meticulously analyzing these datasets, each offering a unique piece of the puzzle, we can craft a comprehensive strategy. Implementing a recursive algorithm, we ensure even remote areas have access, and maintain an optimal EV to Charging Station Ratio. The result? Precise locations, accurate to less than 300 meters, each with a priority score, directing us where to build first to best serve the EV community.

Please find a diagram of the datastory in the Google Drive folder. (https://drive.google.com/file/d/1K6szzodK3a9FaTCnsuM2ELtWw210MlW6/view?usp=sharing)


Evidence of Work

Video

Homepage

Project Image

Team DataSets

New Vehicle Registrations 2018-2022

Description of Use Gain insight into the EV landscape in Australia

Data Set

Road Routes

Description of Use Contains data on road routes to find optimal locations and deal with range anxiety and distance inconvenience

Data Set

Electricity Infrastructure, Places of Interest, Road Traffic Volume

Description of Use Provide insights for the parameters in the recommendation algorithm

Data Set

Commuting to Work - More Stories from the Census

Description of Use Provide insights for the parameters in the recommendation algorithm

Data Set

Current EV registration

Data Set

Projected EV Registration

Data Set

Australian commuting distance to place of work

Data Set

Plugshare - existing EV charger location

Description of Use use api to create the EV owner interface

Data Set

Population projection

Data Set

Challenge Entries

Best Creative Use of Data in Response to ESG

How can you showcase data in a creative manner to respond to ESG challenges? How can we present and visualise data to stimulate conversation and promote change?

Eligibility: Must use a least one Australian relevant dataset - combining datasets preferred.

Go to Challenge | 33 teams have entered this challenge.

Charging Electric Vehicles in the ACT

The ACT’s zero-emission vehicle strategy includes several incentives to purchase EVs, as well as a plan to expand the public charging network to 180 charging stations by 2025. To build this network of charging stations, it is important that government understands where the greatest need for chargers is across the territory. How can this be measured, and how can we assess the effectiveness of public EV chargers in Canberra?

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 | 11 teams have entered this challenge.

Explore the relationship between vehicle types and the uptake of EVs

The challenge is to analyse vehicle registration data and explore the relationship between vehicle types and the uptake of EVs. Identify and analyse factors that may influence the adoption of electric vehicles.

Eligibility: Use at least 1 dataset from Data.Vic list.

Go to Challenge | 12 teams have entered this challenge.