[HTML][HTML] A systematic literature review of the smart city transformation process: The role and interaction of stakeholders and technology

Y Dai, S Hasanefendic, B Bossink - Sustainable Cities and Society, 2024 - Elsevier
This study describes and analyses the developmental processes of cities that aim to
transform into smart cities and outlines the core scenarios within which these developmental …

Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China

S Li, D Lyu, G Huang, X Zhang, F Gao, Y Chen… - Journal of Transport …, 2020 - Elsevier
Understanding the relationship between the rail transit ridership and the built environment is
crucial to promoting transit-oriented development and sustainable urban growth …

[HTML][HTML] Machine learning and Natural Language Processing of social media data for event detection in smart cities

A Hodorog, I Petri, Y Rezgui - Sustainable Cities and Society, 2022 - Elsevier
Social media data analysis in a smart city context can represent an efficacious instrument to
inform decision making. The manuscript strives to leverage the power of Natural Language …

Uncovering inconspicuous places using social media check-ins and street view images

F Zhang, J Zu, M Hu, D Zhu, Y Kang, S Gao… - … Environment and Urban …, 2020 - Elsevier
Highlights•A framework to characterize places regarding type, human activity, group and
locale using multi-source big geo-data.•Deriving place group information from individual …

Urban function recognition by integrating social media and street-level imagery

C Ye, F Zhang, L Mu, Y Gao… - Environment and Planning …, 2021 - journals.sagepub.com
Recognizing urban functions is crucial for understanding urban spatial structures and urban
planning. Previous work has investigated urban functions based on human activities that …

Modeling activity spaces using big geo‐data: Progress and challenges

Y Yuan, Y Xu - Geography Compass, 2022 - Wiley Online Library
The growing availability of big geo‐data, such as mobile phone data and location‐based
social media (LBSM), provides new opportunities and challenges for modeling human …

Exploring public values through Twitter data associated with urban parks pre-and post-COVID-19

JH Huang, MF Floyd, LG Tateosian, JA Hipp - Landscape and Urban …, 2022 - Elsevier
Since school and business closures due to the evolving COVID-19 outbreak, urban parks
have been a popular destination, offering spaces for daily fitness activities and an escape …

[HTML][HTML] Digital trajectories in contemporary cities: Exploring the interplay between digital technology implementation, the amplitude of social media platforms, and …

F Marchesani, F Masciarelli, F Ceci - Cities, 2024 - Elsevier
Over the years, we have witnessed an ongoing and interrelated combination of smart city
implementation and tourism trends. The current development of cities integrates …

[PDF][PDF] 大数据时代的空间交互分析方法和应用再论

刘瑜, 姚欣, 龚咏喜, 康朝贵, 施迅, 王法辉… - Acta Geographica …, 2020 - researching.cn
空间交互是理解地表人文过程的重要基础, 与空间依赖一起共同体现了地理空间的独特性,
关联性以及对嵌入该空间的地理分布格局的影响, 具有鲜明的时空属性, 因此对于地理学研究 …

Fine-grained assessment of greenspace satisfaction at regional scale using content analysis of social media and machine learning

Z Wang, Z Zhu, M Xu, S Qureshi - Science of the Total Environment, 2021 - Elsevier
Assessing perceptions of green spaces is of considerable interest to developers aiming for
sustainable urbanization. However, there are numerous challenges facing the development …