A Multi-Perspective Approach to Resident Segmentation Analysis for HDB Towns in Singapore
Authors: 
Sumudu Hasala Marakkalage, Yuren Zhou, Chau Yuen, Wei Quin Yow, Keng Hua ChongAuthors Info & Claims
Sumudu Hasala Marakkalage, Yuren Zhou, Chau Yuen, Wei Quin Yow, Keng Hua ChongAuthors Info & ClaimsPages 192 - 199
Abstract
In this paper, we introduce a multi-perspective resident segmentation analysis approach to identify different demographic segments of people, and their place preferences from a survey dataset collected from residents in three HDB towns in Singapore. By using k-medoids clustering, we identified eight demographic resident segments, and using a multi-perspective approach with k-means, we identified their place preferences in terms of place visit frequency, and place indication. Shopping Mall, Eateries, and Market have found to be the most popular places in terms of visit frequency. In terms of place indication, our results show that segments from different age groups have a difference in their preference for certain place types. Moreover, we identified town based characteristics in place preference through our analysis.
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May 2021
218 pages
ISBN:9781450389808
DOI:10.1145/3469968
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Published: 06 October 2021
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- Refereed limited
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- National Research Foundation, Prime Minister?s Office under the Land and Liveability National Innovation Challenge (L2 NIC) Research Programme
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ICBDC 2021
ICBDC 2021: 2021 6th International Conference on Big Data and Computing
May 22 - 24, 2021
Shenzhen, China
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