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Is all the construction around Sydney getting you down?
 
Are you new to our city and feeling lost?
 
Do you feel like Sydney isn’t designed for wheelchair users?

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Have you seen it?

HOW IT WORKS

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WALK/CYCLE

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DESTINATION

03

ROUTE

Based on crowdsouced data :

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  • Fastest Route

  • Mood Walks for something Scenic

  • Accessible Routes; and 

  • Spy Walks (for those rainy days when you want to stay undercover) 

04

ACCESSIBILITY

Making Sydney more accessible is important to us, and who better to tell us the best ways to get around on wheelchair or with a pram than the people who use them.... that's the power of crowdsourced data.

Tell us where you want to go

How do you want to get there?

Unreal scenit reviews....
"Thanks to scenit, I found a wheelchair friendly harbourside route" Anne H
"I stopped using my car, when I realised walking through the park was so much nicer. Thanks scenit!" Maria S
"It's so hard when you're new to town to work out where the fab street art is. Thanks to scenit I've seen so much more." Guido O

MEET 

SCENIT

OUR STORY

Hi we are Catherine, Lilanee, Pete, Peter, Shreya, Wendy and Yuveena.

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We are a team of seven data science novices. Big on ideas but still growing in skills.

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The starting point was to look at ways of encouraging people out of their cars and back on to public transport to help solve Sydney’s congestion problems.

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Initially, based on the idea that Sydney traffic feels like it comes to a standstill on hot or wet days, could we encourage people back to public transport on those days if they knew they could easily get a seat? Alas the usual problems faced by data scientists when it comes to big data were exacerbated by the short time frame allowed.

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Our next idea came from team banter about scenic cycling routes and the difficulty of navigating Sydney when you’re new to our city.

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Scenit is a navigation app that doesn't just show you the shortest route, it shows you something more scenic. With crowdsourced data and social media scraping, users will be introduced to some popular locations, those with accessibility issues could also upload their trips for others to trace. 

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More people on footpaths and cycle paths means less congestion, better health outcomes and by using crowdsourced data we hope a stronger sense of community.

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See our story here...

https://www.youtube.com/watch?v=sQWl5SqrOJQ&feature=youtu.be

OUR VISION

To design an app that 

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  • Reduces health risks by making walking/running/cycling fun

  • Improves well-being and lifestyle

  • Eases road congestion by redistributing people from using motor vehicles to walking

  • Reduces the carbon footprint

  • Boosts a sense of local community engagement

  • Improves information available to people with mobility issues

  • Tourism  - provide a better travelling experience with interesting information

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TECHNOLOGY

The algorithm would:

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  • determine the locations of interest by crowdsourcing, including scraping of Instagram e.g. great street arts, interesting architecture and streets with beautiful jacaranda trees.​

  • be updated daily for new and existing locations of interest.

  • The algorithm then learns what can be excluded as a location of interest by comparing the mentioning frequency over a specific period of time.

DATASETS

The following datasets will be incorporated into the scenit app:
 
NSW Transport
https://opendata.transport.nsw.gov.au/dataset/public-transport-location-facilities-and-operators
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Bureau of Meterology
http://govhack.bom.gov.au/
 
HERE Map Data
https://here.com/en/products-services/data/here-map-data
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Open Source data from Local Councils, Google, Instagram and Facebook.
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And most importantly data from the scenit user community!
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Image for NSW Transport under Creative Commons License. https://opendata.transport.nsw.gov.au/data-licence

STAY IN TOUCH

Fishburners,
Harris St, NSW 
but really if you do want to get in touch, feel free to drop us an email at:
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lilanee.jayasundara@student.uts.edu.au

IMAGE ARTISTIC CREDITS

Image (Person) by Yamini Ahluwalia.

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Copied from the Noun Project under Creative Commons License. Source: https://thenounproject.com/search/?q=walking&i=117151

Image (Tree) by Mohamed Amine Benzakour.

 

Copied from the Noun Project under Creative Commons License. Source: https://thenounproject.com/search/?q=parks&i=32384

Image (Cycling) by Vaibhav Radhakrishnan.

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Copied from the Noun Project under Creative Commons License. Source: https://thenounproject.com/search/?q=cycling&i=577558

PRODUCT
ABOUT
FEATURED
THE EVIDENCE
STAY IN TOUCH

HOW IT WORKS

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