Transit Alliance Miami – Metrorail Arrival Data

Transit Alliance Miami – Metrorail Arrival Data

Transit Alliance Miami Metrorail frequency dashboard created with open source data.

Transit Alliance Miami Metrorail frequency dashboard created with open source data.

The Transit Alliance Miami has created a simple graphic display illustrating the time between Miami Metrorail trains (frequency) at the Government Center station. They have taken Metrorail data and displayed it in an easy to understand format. It is an excellent example of how city residents can use open data to analyse and publicise the quality of public transport service as part of an advocacy campaign to improve public transport.

According to the website the graphic presents: A real-time audit of Miami’s Metrorail system. It measures the time between each train at Government Center. Each dot represents a train arrival. Every color corresponds to a time. Hover over a dot for more information.

Read more: How Miami Advocates Are Holding Officials Accountable for Transit Performance, by Angie Schmitt, Streeetsblog 25 January 2018.

2018 Updates

2018 Updates

Screenshot open traffic analyst

Screenshot of Open Traffic Analyst application developed for the World Bank.

Over the holidays I had a chance to update with new information. Here are the highlights:

Crowdsourced Public Transport page – added:

Transport Games page – added:

Act! page – added:

Tracking Applications page – added:

  • New category: Open Source Vehicle Tracking with information on Open Traffic platform sponsored by the World Bank.

Crowdsourced Bicycling page – separated:

  • Map-based Reporting (based on GPS tracking) from
  • Pinging Bicycle Data (GPS tracking, plus ability to “ping” en-route to indicate a problem location).
  • DYI Bike Safety – reference to article on making guerrilla bike lanes permanent.
  • Added reference to The hidden bias of big data by Joe Cortright of City Observatory (May 2017) on the need for more cycling data.
Transit App adds Real Time Information

Transit App adds Real Time Information

Screenshot Transit App illustration on Medium 2017.

Transit App uses crowdsourced information to make real-time information available for NY Subway (2017).

The Transit App can now collect tracking data from users to help them predict real time arrival information. This is an excellent tool especially in cities where there is no current real time data available. It’s also quite helpful because it can be more accurate than vehicle GPS signals since these signals may only be sent every several minutes or so.

The crowdsourced data is being rolled out slowly. It started in Montreal (which had no real time data) and has now been extended to New York.

The Transit App continues to develop neat features and is quickly becoming a favorite in cities where it it is deployed. Some references from their blog:

  • Real-time data is now available for ALL New York City subways — thanks to crowdsourcing – 19 January 2017
  • Better real-time transit data is coming to your city (finally) – 20 December 2016 – How real time transit arrivals works with GPS based systems and crowdsourced systems.
  • How Boston’s Changing the Way People Experience Transit – 6 September 2016 – The MBTA in Boston held an app contest and Transit was the winner. It’s now the MBTA’s “Recommended” App.

Also check out the Transit Wire’s articles on the MBTA app contest, and selection of Transit App, they are excellent resources for anyone thinking about public transport apps.

Making Sense Project

Making Sense Project

Photo of sensors developed in EU making sense project.

Sensors developed and tested in EU Making Sense Project. Source: Waag Society.

The Making Sense project is funded by the European Commission and has the mission to make advances and experiments in participatory sensing. According to

Making Sense aims to explore how open source software, open source hardware, digital maker practices and open design can be effectively used by local communities to fabricate their own sensing tools, make sense of their environments and address pressing environmental problems in air, water, soil and sound pollution.

The project runs between 2015 and 2017.

The website provides an excellent Making Sense Toolkit of materials and methods for planning and implementing participatory sensing campaigns.

Project was coordinated by Waag Society, link to Waag Society Making Sense Project page.

City Swipe – Santa Monica Downtown

City Swipe – Santa Monica Downtown

Screenshot of Santa Monica City Swipe App (2017).

Screenshot of Santa Monica City Swipe App (2017).

City Swipe is a Tinder-like application designed to collect input on what people like and dislike about downtown Santa Monica (California).

It’s really simple to use and therefore good for collecting lots of input. Here are the instructions from the project website:

Each slide will show an image and a question pertaining to a different element of Downtown. There are two different types of questions:

1. Yes or No Questions
(Swipe RIGHT for YES or LEFT for NO)

2. Which Do you Prefer?

If you have more to say about a certain question, please click the chat button on that question’s slide and leave us your comments. Then swipe to the next slide.

Your feedback will be incorporated into Downtown Santa Monica’s recommendations for the City of Santa Monica’s Downtown Community Plan. This plan will help guide the future of Downtown for the next 15 years. So please take a moment to share your thought with us, and have some fun!

More information from Springwise at: Citizens give feedback on city development via Tinder-style app

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