A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization
In the context of the booming construction of smart cities, multi-source data fusion and analysis algorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comprehensively and systematically review the relevant algorithms, covering the types,...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/1/30 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589374782439424 |
|---|---|
| author | Binglin Liu Qian Li Zhihua Zheng Yanjia Huang Shuguang Deng Qiongxiu Huang Weijiang Liu |
| author_facet | Binglin Liu Qian Li Zhihua Zheng Yanjia Huang Shuguang Deng Qiongxiu Huang Weijiang Liu |
| author_sort | Binglin Liu |
| collection | DOAJ |
| description | In the context of the booming construction of smart cities, multi-source data fusion and analysis algorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comprehensively and systematically review the relevant algorithms, covering the types, characteristics, fusion techniques, analysis algorithms, and their synergies of multi-source data. We found that multi-source data, including sensors, social media, citizen feedback, and GIS data, face challenges such as data quality and privacy security when being fused. Data fusion algorithms are diverse and have their own advantages and disadvantages. Data analysis algorithms help urban management in areas such as spatial analysis and deep learning. Algorithm collaboration can improve decision-making accuracy and efficiency and promote the rational allocation of urban resources. In the future, algorithm development will focus on data quality, real-time, deep mining, interdisciplinary research, privacy protection, and collaborative application expansion, providing strong support for the sustainable development of smart cities. |
| format | Article |
| id | doaj-art-04ec94d8b45c4b199199b6867c2e00f8 |
| institution | Kabale University |
| issn | 1999-4893 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj-art-04ec94d8b45c4b199199b6867c2e00f82025-01-24T13:17:32ZengMDPI AGAlgorithms1999-48932025-01-011813010.3390/a18010030A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban OptimizationBinglin Liu0Qian Li1Zhihua Zheng2Yanjia Huang3Shuguang Deng4Qiongxiu Huang5Weijiang Liu6School of Geography and Planning, Nanning Normal University, Nanning 530001, ChinaSchool of Computer and Information Engineering, Guangxi Vocational Normal University, Nanning 530007, ChinaGuangxi Natural Resources Information Center, Nanning 530021, ChinaGuangxi City Survey Technology Co., Ltd., Nanning 530002, ChinaSchool of Geography and Planning, Nanning Normal University, Nanning 530001, ChinaGuangxi Chaotu Information Technology Co., Ltd., Nanning 530023, ChinaCollege of Engineering, City University of Hong Kong, Hong Kong 999077, ChinaIn the context of the booming construction of smart cities, multi-source data fusion and analysis algorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comprehensively and systematically review the relevant algorithms, covering the types, characteristics, fusion techniques, analysis algorithms, and their synergies of multi-source data. We found that multi-source data, including sensors, social media, citizen feedback, and GIS data, face challenges such as data quality and privacy security when being fused. Data fusion algorithms are diverse and have their own advantages and disadvantages. Data analysis algorithms help urban management in areas such as spatial analysis and deep learning. Algorithm collaboration can improve decision-making accuracy and efficiency and promote the rational allocation of urban resources. In the future, algorithm development will focus on data quality, real-time, deep mining, interdisciplinary research, privacy protection, and collaborative application expansion, providing strong support for the sustainable development of smart cities.https://www.mdpi.com/1999-4893/18/1/30smart city constructionmulti-source data fusiondata analysis algorithmreal estate managementurban optimization |
| spellingShingle | Binglin Liu Qian Li Zhihua Zheng Yanjia Huang Shuguang Deng Qiongxiu Huang Weijiang Liu A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization Algorithms smart city construction multi-source data fusion data analysis algorithm real estate management urban optimization |
| title | A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization |
| title_full | A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization |
| title_fullStr | A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization |
| title_full_unstemmed | A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization |
| title_short | A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization |
| title_sort | review of multi source data fusion and analysis algorithms in smart city construction facilitating real estate management and urban optimization |
| topic | smart city construction multi-source data fusion data analysis algorithm real estate management urban optimization |
| url | https://www.mdpi.com/1999-4893/18/1/30 |
| work_keys_str_mv | AT binglinliu areviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT qianli areviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT zhihuazheng areviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT yanjiahuang areviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT shuguangdeng areviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT qiongxiuhuang areviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT weijiangliu areviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT binglinliu reviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT qianli reviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT zhihuazheng reviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT yanjiahuang reviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT shuguangdeng reviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT qiongxiuhuang reviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization AT weijiangliu reviewofmultisourcedatafusionandanalysisalgorithmsinsmartcityconstructionfacilitatingrealestatemanagementandurbanoptimization |