Unlock Philadelphia – visualizing transit and building accessibility in the City

Using open data and crowd sourcing, the goal is to build a web application that helps people access Philadelphia who have previously found it a difficult place to get around: persons with disabilities, elderly people, parents with strollers. The app includes information about public access/facility friendly services/buildings, businesses etc. that connect easily with with the transit system and accessible stations.

See blog entry

Nottinghamshire Traffic Accidents map mashup

Using open traffic accident data published on Open Data Nottingham’s website, this mash-up allows users to explore traffic incidents by severity, pedestrian injuries, time of day and vehicle numbers. Historical weather data feeds from Wunderground allow accident details to be combined with the weather at the time/date/location where the accident occurred. Graphs show age and gender of people involved in accidents by year.

See blog entry.

Philly Bus Explorer

Where can I get to from here? No car and want to explore Philly? Using SEPTA transit open data APIs this prototype webapp helps by grouping and visualizing bus routes by area of Philadelphia and giving real-time vehicle location updates.

See website.

Early Prototype for Philadelphia Bus Traffic Patterns Visualization

The aim is to develop a tool that shows bus traffic patterns in Philadelphia. So far, I have stored the feed from SEPTA’s real-time bus locations API and built an app that replays the bus locations at a fast rate.  Features I want to develop:-

  • Show frequency/location of bus ‘clusters’ using the geo proximity of vehicles that are on the same route and moving in the same direction.
  • Incorporate timetable information and work on algorithms that determine how close the buses are to their target time (would also be good to do this for trains); use the data to generate and present stats.
  • Show graphs/stats for number of buses deployed on each route.
  • Stop/start/rewind/go to specific time of day etc. to allow better interaction with app.

The app also need some work on the client side to improve performance by splitting up the AJAX calls for bus data.

Solar Sunflower

Code for Philly project. In partnership with the EPA, we are working to build water-permeable parks that will improve stormwater management throughout the city. Our plan is to install Arduino-powered groundwater moisture sensors in parks to monitor data related to water usage and propagation in the area. The data from the sensors will be made available to students and teachers to integrate into science curricula, enhancing STEM education.

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