SCRAM and GIS: Building smarter, safer communitiesMatt Vaillant, Latitude GeographicsSmart communities connect people, government, data, and technology to drive insight and improve the well-being of their citizens. The Security Camera Resource and Mapping (SCRAM) initiative that’s gaining traction across the US is an excellent example of a smart community program.
Through this initiative, citizens are able to share the locations of security cameras at their homes and businesses with law enforcement to help these agencies better combat crime. The program brings citizens together with their government to make their communities smarter and safer through the sharing of information and the power of location intelligence.
In this presentation, we’ll highlight an innovative Geocortex solution that leverages Esri's ArcGIS technology to make it easy for jurisdictions to implement a SCRAM program and keep their communities safe.
TriMet’s Next Generation Trip Planner: a leading-edge, multimodal, open source tool for mobility managementMadeline Steele, TriMetThis spring, after two years of innovative, collaborative development work made possible by a grant from the Federal Transit Administration, TriMet will release its Next Generation Trip Planner to the public. This project built off two pre-existing open source tools: OpenTripPlanner (OTP) and the Pelias geocoder. A key enhancement to OTP is integration of shared-used mobility modes, such as Lyft, Uber, BIKETOWN, and car2go, with transit in individual trips. These mixed-mode trips help solve the “last mile problem” by improving people’s ability to travel door-to-door. Further, these multimodal trips are faster than transit alone in many cases, and they are cheaper than taking a Lyft or Uber alone. A deep link in the itinerary results can send the trip information (origin & destination) to the Lyft or Uber application for quick booking. Other major improvements to OTP include a modern, mobile-friendly new user interface, on-the-fly adjustments to trips based on real-time transit vehicle locations, and safer, more comfortable pedestrian routing. Pelias has been enhanced as well; it now supports searches for transit points of interest and intersections, allows for custom boosting of data types, and is much easier to set up and host. The project also included enhancements to OpenStreetMap data and the RLIS Master Address File. The final result is a comprehensive Trip Planner and a robust geocoder that are powered by open data and can be replicated throughout the world.
Cycling Specific Navigation: The Data and BeyondChristopher Moravec, Dymaptic
In a world where routing is built for cars, can a navigation app show us which roads are most well suited for cycling?
In Portland, there is quality bike infrastructure of many types: dedicated, protected, and shared bike lanes, greenways, and more. Routing apps often treat all bike lanes as equal, when those of us that cycle know they’re not. Cities and municipalities track the location of these lanes as they do other roads, but they don't track which ones are safer or cyclist preferred.
While it's possible to extract some of this information from existing sources, these sources carry their own biases. We believe we can leverage these data sources to create a cycling map that reduces anxiety and makes cycling as a primary mode of transportation more accessible.
Modern routing apps fall far short of helping make cycling more inclusive to users of different comfort levels, but the technology exists. Given a bike-dedicated routing application we could easily extract helpful information from more experienced cyclists, such as where they deviate from the suggested route. We could also help new cyclists get around more comfortably by avoiding hills, prioritizing certain paths, and generally helping them leverage the bike infrastructure in a better way.
Dymaptic is integrating voice recognition and traditional routing to cultivate a useful, user-friendly navigational solution. We're combining the most recent advances in A.I. to build a navigation app for the future, today. Join us.
Presentation:
https://dymaptic.com/dy-presentations/cycling-nav-gis-in-action-2019.html
