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dc.contributor.authorVanky, Anthony P.
dc.contributor.authorVerma, Santosh K.
dc.contributor.authorCourtney, Theodore K.
dc.contributor.authorSanti, Paolo
dc.contributor.authorRatti, Carlo
dc.date2022-08-11T08:09:48.000
dc.date.accessioned2022-08-23T16:43:53Z
dc.date.available2022-08-23T16:43:53Z
dc.date.issued2017-12-01
dc.date.submitted2017-12-04
dc.identifier.citationPrev Med Rep. 2017 Jul 27;8:30-37. doi: 10.1016/j.pmedr.2017.07.002. eCollection 2017 Dec. <a href="https://doi.org/10.1016/j.pmedr.2017.07.002">Link to article on publisher's site</a>
dc.identifier.issn2211-3355 (Linking)
dc.identifier.doi10.1016/j.pmedr.2017.07.002
dc.identifier.pmid28831371
dc.identifier.urihttp://hdl.handle.net/20.500.14038/40390
dc.description.abstractWe examined the association between meteorological (weather) conditions in a given locale and pedestrian trips frequency and duration, through the use of locative digital data. These associations were determined for seasonality, urban microclimate, and commuting. We analyzed GPS data from a broadly available activity tracking mobile phone application that automatically recorded 247,814 trips from 5432 unique users in Boston and 257,697 trips from 8256 users in San Francisco over a 50-week period. Generally, we observed increased air temperature and the presence of light cloud cover had a positive association with hourly trip frequency in both cities, regardless of seasonality. Temperature and weather conditions generally showed greater associations with weekend and discretionary travel, than with weekday and required travel. Weather conditions had minimal association with the duration of the trip, once the trip was initiated. The observed associations in some cases differed between the two cities. Our study illustrates the opportunity that emerging technology presents to study active transportation, and exposes new methods to wider consideration in preventive medicine.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28831371&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5555086/
dc.rights© 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig data
dc.subjectEmerging technology
dc.subjectLocative data
dc.subjectMicroclimates
dc.subjectMobile phones
dc.subjectPedestrian activity
dc.subjectSpatial behavior
dc.subjectWalking
dc.subjectWeather
dc.subjectWeather conditions and active transportation
dc.subjectBehavior and Behavior Mechanisms
dc.subjectCommunity Health and Preventive Medicine
dc.subjectPreventive Medicine
dc.titleEffect of weather on pedestrian trip count and duration: City-scale evaluations using mobile phone application data
dc.typeJournal Article
dc.source.journaltitlePreventive medicine reports
dc.source.volume8
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=4205&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/3197
dc.identifier.contextkey11190127
refterms.dateFOA2022-08-23T16:43:53Z
html.description.abstract<p>We examined the association between meteorological (weather) conditions in a given locale and pedestrian trips frequency and duration, through the use of locative digital data. These associations were determined for seasonality, urban microclimate, and commuting. We analyzed GPS data from a broadly available activity tracking mobile phone application that automatically recorded 247,814 trips from 5432 unique users in Boston and 257,697 trips from 8256 users in San Francisco over a 50-week period. Generally, we observed increased air temperature and the presence of light cloud cover had a positive association with hourly trip frequency in both cities, regardless of seasonality. Temperature and weather conditions generally showed greater associations with weekend and discretionary travel, than with weekday and required travel. Weather conditions had minimal association with the duration of the trip, once the trip was initiated. The observed associations in some cases differed between the two cities. Our study illustrates the opportunity that emerging technology presents to study active transportation, and exposes new methods to wider consideration in preventive medicine.</p>
dc.identifier.submissionpathoapubs/3197
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.source.pages30-37


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© 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).