@article{ref1,
title="Crowdsourcing for active transportation",
journal="ITE journal",
year="2015",
author="Smith, Amy",
volume="85",
number="5",
pages="30-35",
abstract="There is a new approach to collaboration in motion in the field of active transportation planning: one that harnesses many of the quickly evolving technologies changing how planners collect information and communicate. It's called &quot;crowdsourcing,&quot; which can be described as the process of obtaining information, insight, and knowledge from user-generated data provided through web and mobile applications. Crowdsourcing has already taken many different forms and served a wide variety of transportation planning purposes, from identifying new bike share station locations and collecting personal travel data using GPS to mining data from personal fitness apps for travel patterns.(1,2,3) Access to high-quality data in greater quantities and at finer spatial resolutions, as well as new capabilities for direct communication with community members, offers important new options for listening to bicyclists and pedestrians and working with them to better understand their relationships with the built environment, their travel decisions, and their needs.<p /><p>Language: en</p>",
language="en",
issn="0162-8178",
doi="",
url="http://dx.doi.org/"
}