Mobility Data and Models Informing Smart Cities

This presentation explores the interactions of Emerging Technology, Changing Urban Environments, and Travel Behavior on Mobility and Energy Impacts. Key findings include: Identifying and quantifying impacts of emerging mobility behaviors associated with Mobility as a Service (MaaS) and other new mobility choices in urban areas; The results demonstrate new methods to acquire data on quickly evolving MaaS in order to monitor rapidly shifting urban mobility patterns; Under development is a first airport mode choice model for access/egress, curbs, and vehicles related to transportation network company (TNC) use versus traditional modes; Initial estimates on the potential of employer-provided mobility on energy impacts. Key findings: for mode replacement, this presentation offers first observability into the changes in number of transactions per mode, after ride-hailing/TNC/MaaS introduction at airports: Seattle (SEA-TAC) airport: for every 100 new TNC transactions for ground transportation, ~ 27% replaced transit, 35% replaced parking, 17% replaced car rentals, and 21% replaced taxis; Similarly, at Denver International (DEN), ride-hailing transactions replaced transit, parking, car rental and taxis at a rate of 34.7%, 39.0%, 16.6%, and 9.7%, respectively.