{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T11:32:44Z","timestamp":1777116764227,"version":"3.51.4"},"reference-count":51,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Anhui Natural Science Foundation","award":["1908085MF178"],"award-info":[{"award-number":["1908085MF178"]}]},{"name":"Anhui Excellent Young Talents Support Program Project","award":["gxyqZD2019069"],"award-info":[{"award-number":["gxyqZD2019069"]}]},{"name":"Shanghai Science and Technology Commission","award":["18510760300"],"award-info":[{"award-number":["18510760300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Green areas or parks are the best way to encourage people to take part in physical exercise. Traditional techniques of researching the attractiveness of green parks, such as surveys and questionnaires, are naturally time consuming and expensive, with less transferable outcomes and only site-specific findings. This research provides a factfinding study by means of location-based social network (LBSN) data to gather spatial and temporal patterns of green park visits in the city center of Shanghai, China. During the period from July 2014 to June 2017, we examined the spatiotemporal behavior of visitors in 71 green parks in Shanghai. We conducted an empirical investigation through kernel density estimation (KDE) and relative difference methods on the effects of green spaces on public behavior in Shanghai, and our main categories of findings are as follows: (i) check-in distribution of visitors in different green spaces, (ii) users\u2019 transition based on the hours of a day, (iii) famous parks in the study area based upon the number of check-ins, and (iv) gender difference among green park visitors. Furthermore, the purpose of obtaining these outcomes can be utilized in urban planning of a smart city for green environment according to the preferences of visitors.<\/jats:p>","DOI":"10.3390\/ijgi9060360","type":"journal-article","created":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T04:09:03Z","timestamp":1591070943000},"page":"360","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Analysis of Green Spaces by Utilizing Big Data to Support Smart Cities and Environment: A Case Study About the City Center of Shanghai"],"prefix":"10.3390","volume":"9","author":[{"given":"Qi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai 200444, China"},{"name":"School of Information Engineering, Huangshan University, Huangshan 245041, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0960-4639","authenticated-orcid":false,"given":"Hidayat","family":"Ullah","sequence":"additional","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai 200444, China"},{"name":"Institute of Smart City, Shanghai University, Shanghai 200444, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5065-9650","authenticated-orcid":false,"given":"Wanggen","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai 200444, China"},{"name":"Institute of Smart City, Shanghai University, Shanghai 200444, China"}]},{"given":"Zhangyou","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai 200444, China"}]},{"given":"Li","family":"Hou","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Huangshan University, Huangshan 245041, China"}]},{"given":"Tong","family":"Qu","sequence":"additional","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai 200444, China"},{"name":"Institute of Smart City, Shanghai University, Shanghai 200444, China"}]},{"given":"Saqib","family":"Ali Haidery","sequence":"additional","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai 200444, China"},{"name":"Institute of Smart City, Shanghai University, Shanghai 200444, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,6,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1007\/s10661-015-4861-3","article-title":"Determining the bioclimatic comfort in Kastamonu City","volume":"187","author":"Cetin","year":"2015","journal-title":"Environ. 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