I’ve taken a few days to reflect upon my experiences at the recent ITE/CITE 2017 conference in Toronto. While I’ve been to several CITE conferences in the past, this is the first time I’ve attended the international edition of the ITE. As always, it was a great opportunity to catch up with old colleagues and make new connections with other transportation professionals from around the world.
I wanted to share a few of my takeaways and impressions from this year’s conference while it’s fresh in my mind. Please keep in mind that my impressions may not necessarily coincide with my opinions on subject matter. Continue reading
I’d like to personally commend the ITE’s leadership in discussing the future of trip generation data and encouragement to gathering urban trip person data moving forward. I hope this is a fruitful endeavour and I hope that the ITE doesn’t lose sight of other technological opportunities during this process, such as the TripChain project.
This article is a response to the ITE Statement on the Future Direction of Trip Generation and Advances in Urban Trip Generation articles presented in the recent ITE Journal, July 2016, p. 16-19. More specifically, this response is to the “Steps Forward” section of the latter article and discusses how the TripChain project is positioned to contribute to accomplishing those steps forward in the industry.
I’m pleased to announce a project I have been working on called TripChain. TripChain is an open-source framework used for the derivation of trip generation rates for application in transportation planning and analysis.
Like many of us, I’ve worked with ITE trip generation rates throughout my career and at times questioned their relevancy in the context sensitive to a specific land use development. The ITE rates are a “tried and true” source of data, however they are not always the most applicable without additional data and/or local adjustment to best plan for transportation infrastructure. This is important both to transportation network planning and ensuring that development charges are appropriately levied.
Being an advocate of big data and open data, I believe these approaches are the best means to provide insight into real world situations. When a larger community is engaged to contribute more data, more easily, everyone wins – especially when that data can be easily shared in a manner that also ensures its integrity.