Modeling aggregate human mobility patterns in cities based on the spatial distribution of local infrastructure

dc.contributor.author Miotti, Marco
dc.contributor.author Jain, Rishee
dc.date.accessioned 2020-12-24T19:21:28Z
dc.date.available 2020-12-24T19:21:28Z
dc.date.issued 2021-01-05
dc.description.abstract Understanding human mobility patterns in urban areas is key to solving a wide range of socio-technical problems at the human-infrastructure interface. Extending the intervening opportunities concept, we showcase a data-driven, network-based model that reproduces aggregate mobility patterns in cities. Using this model, we create a digital replication of daily travel across different trip purposes in 5 U.S. metropolitan areas and compare results against publicly available reference data. We find that our proposed model explains a large fraction of the variation in mean and median travel distance across the 5 cities. In particular, it accurately captures the effect of density on aggregate travel patterns. These findings add to evidence that human mobility patterns are strongly governed by the structure of the built environment. We discuss implications for the ongoing transformation of cities and for developing more sophisticated models that replicate human behavior based on crowd-sourced, spatio-temporal data streams.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.221
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/70833
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Smart Building, Smart Community, and Smart City Digital Twins
dc.subject human mobility
dc.subject intervening opportunities
dc.subject origin-destination matrices
dc.subject urban planning
dc.subject urban simulation
dc.title Modeling aggregate human mobility patterns in cities based on the spatial distribution of local infrastructure
prism.startingpage 1819
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