Are Mobile Device Location Data a Substitute for Travel Cost Surveys?
Mobile device location data offer a low-cost alternative for measuring visitation to outdoor recreation sites and are known to correlate with official visitation counts. Less is known about whether these data can recover recreation demand and consumer surplus comparable to survey-based methods. We c...
| Publicado en: | Land Economics Vol. 102; no. 3; pp. 400 - 418 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
University of Wisconsin Press
Aug2026
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=196039567&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 196039567 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00237639 LAE jtl: Land Economics issn: 00237639 maglogo: N pubinfo: dt: Aug2026 vid: 102 iid: 3 pid: 249 pub: University of Wisconsin Press artinfo: ui: 196039567 ppf: 400 ppct: 18 formats: tig: atl: Are Mobile Device Location Data a Substitute for Travel Cost Surveys? aug: au: Bayham, Jude Enriquez, Aaron J. Richardson, Leslie su: United States. National Park Service National parks & reserves Travel costs Location data Sampling errors Acquisition of data Recreation industry Regression analysis Consumers' surplus sug: subj: National parks & reserves United States. National Park Service Administration of Conservation Programs Nature Parks and Other Similar Institutions All Other Amusement and Recreation Industries Travel costs Location data Sampling errors Acquisition of data Recreation industry Regression analysis Consumers' surplus ab: Mobile device location data offer a low-cost alternative for measuring visitation to outdoor recreation sites and are known to correlate with official visitation counts. Less is known about whether these data can recover recreation demand and consumer surplus comparable to survey-based methods. We compare travel cost models estimated using mobile device and survey data for 17 US National Park Service sites. Results are mixed. We examine the roles of aggregation and sampling bias and use a LASSO regression to assess whether sample and site characteristics explain discrepancies. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|