A platform for research: civil engineering, architecture and urbanism
A bibliometric and scientometric review of research on crowdsourcing in smart cities
Abstract The smart city model for operation and governance of modern cities requires huge quantities of data about people and the environment to support related applications, and crowdsourcing is effective for collecting and processing such data. Numerous reviews of the literature on crowdsourcing and smart cities as separate research fields have been published. Research on the intersection of the two is relatively new and lacks a systematic literature review. This study applies bibliometric and scientometric research methods and the research tools to study 367 related publications retrieved from the Web of Science database. Keyword co‐occurrence analysis was conducted to find the distribution of publications, research cooperation, and major research areas. Document co‐citation analysis was used to examine the domain knowledge structure, and citation burst detection was used to identify trends in research in this topic area. The analysis results clarify the research content and evolutionary context and reveal emerging research trends.
A bibliometric and scientometric review of research on crowdsourcing in smart cities
Abstract The smart city model for operation and governance of modern cities requires huge quantities of data about people and the environment to support related applications, and crowdsourcing is effective for collecting and processing such data. Numerous reviews of the literature on crowdsourcing and smart cities as separate research fields have been published. Research on the intersection of the two is relatively new and lacks a systematic literature review. This study applies bibliometric and scientometric research methods and the research tools to study 367 related publications retrieved from the Web of Science database. Keyword co‐occurrence analysis was conducted to find the distribution of publications, research cooperation, and major research areas. Document co‐citation analysis was used to examine the domain knowledge structure, and citation burst detection was used to identify trends in research in this topic area. The analysis results clarify the research content and evolutionary context and reveal emerging research trends.
A bibliometric and scientometric review of research on crowdsourcing in smart cities
Youtao Jiang (author) / Bowen Guo (author) / Xunda Zhang (author) / Hongxin Tian (author) / Yue Wang (author) / Ming Cheng (author)
2023
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
A bibliometric and scientometric review of research on crowdsourcing in smart cities
Wiley | 2023
|Autonomous vehicles: scientometric and bibliometric review
Taylor & Francis Verlag | 2019
|Crowdsourcing Research for Social Insights into Smart Cities Applications and Services
DOAJ | 2021
|