Moderated by: Sara Hendricks Minding the Gap? Designing Transit Services to Fill Gaps and Enhance Access Learn analytical methods for alleviating first mile/last mile access gaps using GIS and complementary software and how to use interactive isochrones to facilitate a conversation to design better transit systems, engaging riders to document factors that affect getting from …
Category: Conferences
Transit GIS 2017 Session: Safe Transit? Accident Hot Spots, Youth, and Safe Stops
Moderated by: Jonathan P. Brooks Safe Transit? Accident Hot Spots, Youth, and Safe Stops Learn about MTA’s mapping of accident hot spots, the relationship between transit and youths in Worcester, and how to measure the correlation between bus stop location and pedestrian safety. Mapping Transit Accident Hot Spots using MTA Accident Mapping System Leo Fothergill, …
Transit GIS 2017 Session: A Thorough Tour of GTFS: Creating, Improving, Sharing, Finding
Moderated by: Drew Dara-Abrams A Thorough Tour of GTFS: Creating, Improving, Sharing, Finding For over 10 years, public transit agencies have been sharing their schedules with Google and others using the General Transit Feed Specification (GTFS). This common format has enabled a wide range of apps, services, and businesses to be built around such data. …
Transit GIS 2017 Session: Tough Cookies? Accessibility, Simplifying Data, TNC vs Paratransit
Moderated by: Robert Marsters Tough Cookies? Accessibility, Simplifying Data, TNC vs Paratransit Learn how Metrolinx uses an accessibility toolkit, how DC makes complex information available to people, and explore juxtaposed data for TNC and paratransit. Metrolinx Accessibility Toolkit Christopher Livett, Transportation Planning Analyst, Metrolinx, Toronto, ON – Canada Access all Areas: Measuring Accessibility to Jobs …
Transit GIS 2017 Session: Leveraging Data: Modeling and Planning for Transit Mobility
Leveraging Data: Modeling and Planning for Transit Mobility Learn how to make sense of transit rider flows from origin-destination surveys, how open data from public/private entities enables better planning, and how to use travel demand models to make sense of large datasets during transit expansion project planning. Uber Movement: Open Data for Better Urban Planning …
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