594 / 2019-03-01 11:32:07

Urban analytics in the era of shared mobility and big data: experience from Seattle’s new mobility service experiment

urban analytics,big data,public transportation agencies,travel survey,shared mobility

全体主题 > Planning Support Systems

App-based shared mobility has generated a vast amount of data, transforming the way in which transportation agencies collect and analyze personal travel information. One could reasonably ask whether planners still need traditional travel surveys. And yet, the big data regarding traffic flow and travel information are substantively different than what one can collect using traditional approaches. The data are also privately held and sensitive, posing threats to privacy for individuals represented in the data. This paper explains the common challenges facing public transit agencies to utilize urban big data, and suggests remedies based on the case of Seattle’s Carpool Incentive Fund. This case illustrates an innovative approach for transportation agencies to engage firms, integrate big data with survey data, and provide contractual arrangements to safeguard data sharing. In particular, we find that traditional travel survey should play a critical complementary role with urban big data informatics to advance planning support.