{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:56:39Z","timestamp":1753887399090,"version":"3.41.2"},"reference-count":50,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T00:00:00Z","timestamp":1550534400000},"content-version":"vor","delay-in-days":49,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41601161"],"award-info":[{"award-number":["41601161"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>Many studies have used housing prices on the Internet real estate information platforms as data sources, but platforms differ in the nature and quality of the data they release. However, few studies have analysed these differences or their effect on research. In this study, second\u2010hand neighbourhood housing prices and information on five online real estate information platforms in Guangzhou, China, were comparatively analysed and the performance of neighbourhoods\u2019 raw information from four for\u2010profit online real estate information platforms was evaluated by applying the same housing price model. The comparison results show that the official second\u2010hand residential housing prices at city and district level are generally lower than those issued on four for\u2010profit real estate websites. The same second\u2010hand neighbourhood housing prices are similar across each of the four for\u2010profit real estate websites due to cross\u2010referencing among real estate websites. The differences of housing prices in the central city area are significantly fewer than those in the periphery. The variation of each neighbourhood\u2019s housing prices on each website decreases gradually from the city centre to the periphery, but the relative variation stays stable. The results of the four hedonic models have some inconsistencies with other studies\u2019 findings, demonstrating that errors exist in raw information on neighbourhoods taken from Internet platforms. These results remind researchers to choose housing price data sources cautiously and that raw information on neighbourhoods from Internet platforms should be appropriately cleaned.<\/jats:p>","DOI":"10.1155\/2019\/5370961","type":"journal-article","created":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T23:31:12Z","timestamp":1550619072000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of Residential Housing Prices on the Internet: Data Pitfalls"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5948-1054","authenticated-orcid":false,"given":"Ming","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6134-6724","authenticated-orcid":false,"given":"Guojun","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9632-6192","authenticated-orcid":false,"given":"Yunliang","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Chunshan","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,2,19]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1080\/01436590600917647"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/cplx.21785"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.landusepol.2014.07.002"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/00036846.2017.1340569"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1080\/02673030220123180"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jue.2006.12.007"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2011.12.002"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11146-014-9456-1"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1080\/02673030304256"},{"key":"e_1_2_10_10_2","first-page":"1","article-title":"The impact of metro services on housing prices: a case study from Beijing","volume":"5","author":"Li S.","year":"2017","journal-title":"Transportation"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.landusepol.2016.03.001"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ufug.2017.06.007"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2006.05.004"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.1080\/10941665.2015.1107602"},{"key":"e_1_2_10_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12061-016-9185-3"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2016.08.011"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11146-007-9070-6"},{"key":"e_1_2_10_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhe.2009.02.003"},{"key":"e_1_2_10_19_2","doi-asserted-by":"publisher","DOI":"10.3846\/1648715X.2015.1105322"},{"key":"e_1_2_10_20_2","doi-asserted-by":"publisher","DOI":"10.1111\/1756-2171.12028"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2014.09.001"},{"key":"e_1_2_10_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2017.11.008"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1111\/cts.12178"},{"key":"e_1_2_10_24_2","doi-asserted-by":"publisher","DOI":"10.1111\/1540-6229.00309"},{"key":"e_1_2_10_25_2","first-page":"377","article-title":"Data sources for measuring house price","volume":"6","author":"Pollakowski H. 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