Transportation planners today face a ton of challenges as they work to build efficient, safe, and sustainable urban transportation systems. From rising congestion to increased demand for public transit, the travel behavior and transportation preferences of modern city dwellers are changing fast. These challenges raise complicated questions for urban transportation planners; for example, “How do we handle the rise of ride hailing apps? If we add more public transit options, will people use them? How do we minimize the impact of construction if we do expand public transit? And how do we pay for all of this?”
At the heart of every transportation project lies the need for mobility data. But actually getting accurate, comprehensive data in a cost-effective, appropriate, and timely manner is not always easy. Many transportation planners must rely on costly, outdated data or use time-consuming, assumption-based models to estimate behavior. Although surveys and sensors can certainly reveal important insights, planners who rely solely on conventional data collection tools often struggle to answer important travel behavior questions empirically, accurately, and comprehensively. But transportation planners can take control and get better results by taking advantage of new, more cost-effective, and more effecient data collection and analysis tools. In this blog post, we’ll discuss three key transportation data challenges, and how to overcome them by collecting data that is current and precise, and that describes real-world travel patterns.
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External trip estimation is one of the most important measures for planning departments across the country. Like all kinds of travel, external trips cause wear and tear on local roads and contribute to traffic jams. But unlike your local residents, drivers simply passing through your community don’t contribute to your local economy. They’re not stopping to eat or shop. In this blog post, we've identified 10 ways that these trips can impact transportation planning in your community.
Transportation planning has always been an important task of local government. Improving community accessibility, safety, and health are just some of the objectives. But external trip estimation is a facet of planning that’s often overlooked, especially by small- and medium-sized communities.
However, pass-through trips (also called external-external trips or external trips) are a trip type that may make up a large portion of travel in your municipality.
We're thrilled to share that StreetLight Data has teamed up with PTV Group, a transportation modeling and forecasting software provider. As Laura Schewel announced at PTV's North American User Group Meeting this morning, PTV plans to integrate StreetLight Data’s Travel Metrics into its Visum, Vissim, and Vistro modeling tools. We'll discussed the details during a webinar on November 2nd at 10am PT. Click here to watch the webinar recording.
We're excited to share that StreetLight Data's CEO, Laura Schewel, will be speaking at the Annual Meeting of the Virginia Municipal League on Monday, October 10th. She was invited to speak at the conference because of StreetLight Data's extensive work across the state, especially in Northern Virginia. To learn more about the analytics that StreetLight has developed about travel patterns in Virginia, click here to read our case study on transportation demand management.