2016 IEEE International Conference on Big Data (Big Data) 2016
DOI: 10.1109/bigdata.2016.7841020
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Exploring the utilization of places through a scalable “Activities in Places” analysis mechanism

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Cited by 8 publications
(2 citation statements)
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“…Open spaces, parks, or business areas concentrated at specific locations are case in point. Likewise, downtown areas have large influence on the usage of certain facilities such as shopping malls, metro stations, or hospitals (You and Tunc¸er, 2016). A way to overcome this problem is by including distance-based measures such as the distance to the nearest hospital or the distance to the nearest sport center (Lee et al, 2015;Mouratidis, 2018;Saitluanga, 2014;Satu and Chiu, 2019).…”
Section: Livability and Its Indicatorsmentioning
confidence: 99%
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“…Open spaces, parks, or business areas concentrated at specific locations are case in point. Likewise, downtown areas have large influence on the usage of certain facilities such as shopping malls, metro stations, or hospitals (You and Tunc¸er, 2016). A way to overcome this problem is by including distance-based measures such as the distance to the nearest hospital or the distance to the nearest sport center (Lee et al, 2015;Mouratidis, 2018;Saitluanga, 2014;Satu and Chiu, 2019).…”
Section: Livability and Its Indicatorsmentioning
confidence: 99%
“…Hence, different government institutions have included these objectives in their strategies. The concern of livability in Singapore's urban space has led to an increasing number of studies (Benita et al, 2019;Teo, 2014;You and Tunc¸er, 2016;Yuen and Hien, 2005). Also, several international surveys on livability have positioned the city as one of the most livable places worldwide.…”
Section: Singapore As Case Studymentioning
confidence: 99%