Big Data and Technology for Mobility: Market-Oriented Transit Corridor Planning and Autonomous Cars and Buses
Wednesday, January 25, 2017
10:30 a.m. - noon EST
Upper Marlboro, MD, United States
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The traditional approach to transit corridor planning asks: “if we build X facility, what will ridership be and what will be the impacts of that investment?” This planning approach gives great weight to impacts, and relies on forecasting tools that are not very sensitive to the differences between different build alternatives. A market-oriented approach asks: “if our goals for a transit corridor are X, Y, and Z, what should we do to achieve those objectives.” We need insight into new big data sources, and analysis methods for using them, making it increasingly possible to use a more market-oriented approach.
Around the country, elected officials announce bold plans for sleek, transformative, train-like vehicles. Under a hail of resistance from those who think BRT is too ambitious, those who think BRT isn’t ambitious enough, those who don’t care about transit at all, and those who think transit is obsolete, these plans ultimately erode into unrecognizability.
Despite the easily observed, frustrating track record, planners of new BRT initiatives approach the challenge the same way each time: identify different ways that BRT could fit into existing roadways; use regional travel demand models to predict future transit ridership; measure impacts to the broader environment, particularly on traffic, parking, and private land owners; and consult the public to ensure all views are solicited.
This informative presentation on the impact of driverless cars and transportation network companies (TNCs) on parking and real estate will enlighten. Given that this trend is coming, the industry needs to begin planning for this game changer now. The presentation will also focus on key takeaways and next steps in the planning process.
Fatimah Hasan, Fatimah.Hasan@ppd.mncppc.org