{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T01:15:30Z","timestamp":1773364530754,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,4,19]],"date-time":"2020-04-19T00:00:00Z","timestamp":1587254400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Programa Operativo FEDER Canarias 2014-2020-ULPGC","award":["CEI2018-8"],"award-info":[{"award-number":["CEI2018-8"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Peer-to-peer accommodation has grown significantly during the last decades, supported, in part, by digital platforms. These websites make available a wide range of information intended to help the customers\u2019 decision. All these factors, in addition to the property location, may therefore influence rental price. This paper proposes different procedures for an efficient selection of a high number of price determinants in peer-to-peer accommodation when applying the perspective of the geographically weighted regression. As a case study, these procedures have been used to find the factors affecting the rental price of properties advertised on Airbnb in Gran Canaria (Spain). The results show that geographically weighted regression obtains better indicators of goodness of fit than the traditional ordinary least squares method, making it possible to identify those attributes influencing price and how their effect varies according to property locations. Moreover, the results also show that the selection procedures working directly on geographically weighted regression obtain better results than those that take good global solutions as their starting point.<\/jats:p>","DOI":"10.3390\/ijgi9040259","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T03:23:06Z","timestamp":1587439386000},"page":"259","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Selecting Prices Determinants and Including Spatial Effects in Peer-to-Peer Accommodation"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1926-3121","authenticated-orcid":false,"given":"Rafael","family":"Su\u00e1rez-Vega","sequence":"first","affiliation":[{"name":"University Institute of Tourism and Sustainable Economic Development (Tides), University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6897-5179","authenticated-orcid":false,"given":"Juan M.","family":"Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"University Institute of Tourism and Sustainable Economic Development (Tides), University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bakker, M., and Twining-Ward, L. (2018). Tourism and the Sharing Economy, World Bank.","DOI":"10.1596\/30452"},{"key":"ref_2","first-page":"1","article-title":"Pricing in the sharing economy: A hedonic pricing model applied to Airbnb listings","volume":"12","author":"Gibbs","year":"2017","journal-title":"J. Travel Tour. Mark."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"165","DOI":"10.5367\/000000003101298330","article-title":"Effect on prices of the attributes of holiday hotels: A hedonic prices approach","volume":"9","author":"Espinet","year":"2003","journal-title":"Tour. Econ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1177\/0047287504272034","article-title":"Hedonic Price Models and Sun-and-Beach Package Tours: The Norwegian Case","volume":"43","author":"Thrane","year":"2005","journal-title":"J. Travel Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.tourman.2016.01.013","article-title":"Trust and reputation in the sharing economy: The role of personal photos in Airbnb","volume":"55","author":"Ert","year":"2016","journal-title":"Tour. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2405","DOI":"10.1108\/IJCHM-10-2016-0606","article-title":"Consumer valuation of Airbnb listings: A hedonic pricing approach","volume":"29","author":"Chen","year":"2017","journal-title":"Int. J. Contemp. Hosp. Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.tourman.2018.02.008","article-title":"Why are flexible booking policies priced negatively?","volume":"67","year":"2018","journal-title":"Tour. Manag."},{"key":"ref_8","first-page":"251","article-title":"Price-setting behavior in a tourism sharing economy accommodation market: A hedonic price analysis of AirBnB hosts in the caribbean","volume":"30","author":"Lorde","year":"2019","journal-title":"Tour. Manag. Perspect."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"53","DOI":"10.22381\/JSME5420173","article-title":"Price determinants on Airbnb: How reputation pays off in the sharing economy","volume":"5","author":"Teubner","year":"2017","journal-title":"J. Self-Gov. Manag. Econ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.ijhm.2016.12.007","article-title":"Price determinants of sharing economy based accommodation rental: A study of listings from 33 cities on Airbnb.com","volume":"62","author":"Wang","year":"2017","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.ijhm.2019.03.012","article-title":"Estimating spatial effects on peer-to-peer accommodation prices: Towards an innovative hedonic model approach","volume":"81","author":"Tang","year":"2019","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_12","first-page":"1150","article-title":"Spatial price dependencies between the traditional accommodation sector and the sharing economy","volume":"25","author":"Weismayer","year":"2018","journal-title":"Tour. Econ."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Sanchez, R.P., Estrada, L.S., Marti, P., and Mora-Garcia, R.-T. (2018). The What, Where, and Why of Airbnb Price Determinants. Sustainability, 10.","DOI":"10.3390\/su10124596"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"103981","DOI":"10.1016\/j.tourman.2019.103981","article-title":"Effects of location on Airbnb apartment pricing in M\u00e1laga","volume":"77","year":"2020","journal-title":"Tour. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ijhm.2019.03.008","article-title":"Do airbnb host listing attributes influence room pricing homogenously?","volume":"81","author":"Chattopadhyay","year":"2019","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1111\/j.1538-4632.1996.tb00936.x","article-title":"Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity","volume":"28","author":"Brunsdon","year":"2010","journal-title":"Geogr. Anal."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1201\/9781420006377.ch13","article-title":"The Geography of Parameter Space","volume":"10","author":"Fotheringham","year":"2006","journal-title":"Class. IJGIS"},{"key":"ref_18","first-page":"59","article-title":"Two techniques for exploring non-stationarity in geographical data","volume":"4","author":"Fotheringham","year":"1997","journal-title":"Geogr. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.proenv.2011.07.017","article-title":"Geographically Weighted Regression Using a Non-Euclidean Distance Metric with a Study on London House Price Data","volume":"7","author":"Lu","year":"2011","journal-title":"Procedia Environ. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.jbusres.2018.09.006","article-title":"(James) Why are hotel room prices different? Exploring spatially varying relationships between room price and hotel attributes","volume":"107","author":"Kim","year":"2020","journal-title":"J. Bus. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.tourman.2015.10.015","article-title":"The inter-relationship between rural and mass tourism: The case of Catalonia, Spain","volume":"54","author":"Santana","year":"2016","journal-title":"Tour. Manag."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Chen, R.J.C., Han, L.D., and Yang, L. (2017). Key Factors Affecting the Price of Airbnb Listings: A Geographically Weighted Approach. Sustainability, 9.","DOI":"10.3390\/su9091635"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/2529336","article-title":"The Analysis and Selection of Variables in Linear Regression Published by: International Biometric Society Stable URL: http:\/\/www.jstor.org\/stable\/2529336","volume":"32","author":"Hocking","year":"1976","journal-title":"Biometrics"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Su\u00e1rez-Vega, R., Acosta-Gonz\u00e1lez, E., Casimiro-Reina, L., and Hern\u00e1ndez, J.M. (2012). Assessing the Spatial and Environmental Characteristics of Rural Tourism Lodging Units Using a Geographical Weighted Regression Model. Quantitative Methods in Tourism Economics, Springer Science and Business Media LLC.","DOI":"10.1007\/978-3-7908-2879-5_11"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1111\/j.1475-5661.2012.00517.x","article-title":"The demographic impacts of the Irish famine: Towards a greater geographical understanding","volume":"38","author":"Fotheringham","year":"2012","journal-title":"Trans. Inst. Br. Geogr."},{"key":"ref_26","first-page":"883","article-title":"A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 2. Spatial Association and Model Specification Tests","volume":"34","author":"Uchida","year":"2002","journal-title":"Environ. Plan. A Econ. Space"},{"key":"ref_27","first-page":"733","article-title":"A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 1. Location-Specific Kernel Bandwidths and a Test for Locational Heterogeneity","volume":"34","author":"Uchida","year":"2002","journal-title":"Environ. Plan. A Econ. Space"},{"key":"ref_28","first-page":"233","article-title":"The Multiple Testing Issue in Geographically Weighted Regression","volume":"48","author":"Fotheringham","year":"2015","journal-title":"Geogr. Anal."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1111\/0022-4146.00146","article-title":"Some Notes on Parametric Significance Tests for Geographically Weighted Regression","volume":"39","author":"Brunsdon","year":"1999","journal-title":"J. Reg. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1068\/a3162","article-title":"Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model","volume":"32","author":"Leung","year":"2000","journal-title":"Environ. Plan. A Econ. Space"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v063.i17","article-title":"GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models","volume":"63","author":"Gollini","year":"2015","journal-title":"J. Stat. Softw."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.enbuild.2016.05.065","article-title":"A comparison of approaches to stepwise regression on variables sensitivities in building simulation and analysis","volume":"127","author":"Wang","year":"2016","journal-title":"Energy Build."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1177\/1354816618825415","article-title":"On the determinants of Airbnb location and its spatial distribution","volume":"25","year":"2019","journal-title":"Tour. Econ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"227","DOI":"10.3727\/108354219X15525055915554","article-title":"Price Determinants of Airbnb Listings: Evidence from Hong Kong","volume":"24","author":"Cai","year":"2019","journal-title":"Tour. Anal."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1080\/10095020.2014.917453","article-title":"The GWmodel R package: Further topics for exploring spatial heterogeneity using geographically weighted models","volume":"17","author":"Lu","year":"2014","journal-title":"Geo. Spat. Inf. Sci."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/9\/4\/259\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:09:02Z","timestamp":1760364542000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/9\/4\/259"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,19]]},"references-count":35,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2020,4]]}},"alternative-id":["ijgi9040259"],"URL":"https:\/\/doi.org\/10.3390\/ijgi9040259","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,19]]}}}