A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization
Guardado en:
| Udgivet i: | Algorithms vol. 18, no. 1 (2025), p. 30 |
|---|---|
| Hovedforfatter: | |
| Andre forfattere: | , , , , , |
| Udgivet: |
MDPI AG
|
| Fag: | |
| Online adgang: | Citation/Abstract Full Text Full Text - PDF |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3159222452 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1999-4893 | ||
| 024 | 7 | |a 10.3390/a18010030 |2 doi | |
| 035 | |a 3159222452 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231333 |2 nlm | ||
| 100 | 1 | |a Liu, Binglin |u School of Geography and Planning, Nanning Normal University, Nanning 530001, China; Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, China | |
| 245 | 1 | |a A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Smart cities | ||
| 653 | |a Innovations | ||
| 653 | |a Data analysis | ||
| 653 | |a Real estate | ||
| 653 | |a Spatial data | ||
| 653 | |a Spatial analysis | ||
| 653 | |a Urban planning | ||
| 653 | |a Decision making | ||
| 653 | |a Privacy | ||
| 653 | |a Optimization | ||
| 653 | |a Cities | ||
| 653 | |a Algorithms | ||
| 653 | |a Data integration | ||
| 653 | |a Sustainable development | ||
| 653 | |a Machine learning | ||
| 653 | |a Real time | ||
| 653 | |a Interdisciplinary studies | ||
| 653 | |a Multisensor fusion | ||
| 700 | 1 | |a Li, Qian |u School of Computer and Information Engineering, Guangxi Vocational Normal University, Nanning 530007, China | |
| 700 | 1 | |a Zheng, Zhihua |u Guangxi Natural Resources Information Center, Nanning 530021, China | |
| 700 | 1 | |a Huang, Yanjia |u Guangxi City Survey Technology Co., Ltd., Nanning 530002, China | |
| 700 | 1 | |a Deng, Shuguang |u School of Geography and Planning, Nanning Normal University, Nanning 530001, China; Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, China | |
| 700 | 1 | |a Huang, Qiongxiu |u Guangxi Chaotu Information Technology Co., Ltd., Nanning 530023, China | |
| 700 | 1 | |a Liu, Weijiang |u College of Engineering, City University of Hong Kong, Hong Kong 999077, China; <email>lliuweiji2-c@my.cityu.edu.hk</email> | |
| 773 | 0 | |t Algorithms |g vol. 18, no. 1 (2025), p. 30 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3159222452/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3159222452/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3159222452/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |