Indoor location data for tracking human behaviours: A scoping review

LC Shum, R Faieghi, T Borsook, T Faruk, S Kassam… - Sensors, 2022 - mdpi.com
Real-time location systems (RTLS) record locations of individuals over time and are
valuable sources of spatiotemporal data that can be used to understand patterns of human …

[HTML][HTML] 地理大数据聚合的内涵, 分类与框架

裴韬, 黄强, 王席, 陈晓, 刘亚溪, 宋辞, 陈洁, 周成虎 - 遥感学报, 2021 - ygxb.ac.cn
地理大数据是地理对象所产生的“足迹数据”, 而地理大数据挖掘就是通过反演分析地理对象的“
足迹数据”, 揭示其中蕴含的人地关系及其时空模式. 近年关于地理大数据的重大研究进展显示 …

Association between outdoor jogging behavior and PM2. 5 exposure: Evidence from massive GPS trajectory data in Beijing

W Guo, J He, W Yang - Science of the Total Environment, 2024 - Elsevier
Outdoor jogging is one of the most popular practised exercises worldwide, providing various
benefits for health and wellbeing. However, PM 2.5 exposure risks of jogging behaviors …

Czech consumers' preference for organic products in online grocery stores during the COVID-19 pandemic

M Zámková, S Rojík, M Prokop, S Činčalová… - International Journal of …, 2022 - mdpi.com
A major advantage of online organic produce shopping is the fact that it saves energy and
reduces emissions otherwise generated by customers during their time spent on the road …

A hybrid Markov and LSTM model for indoor location prediction

P Wang, H Wang, H Zhang, F Lu, S Wu - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate and robust indoor location prediction plays an important role in indoor location
services. Markov chains (MCs) have been widely adopted for location prediction due to their …

Clustering indoor positioning data using E-DBSCAN

D Cheng, G Yue, T Pei, M Wu - ISPRS International Journal of Geo …, 2021 - mdpi.com
Indoor positioning data reflects human mobility in indoor spaces. Revealing patterns of
indoor trajectories may help us understand human indoor mobility. Clustering methods …

Machine learning application in precision marketing: a systematic literature review and comparative study

N El Koufi, A Belangour, M Sadiq - The International Conference on …, 2023 - Springer
With the arrival of the big data era and the rapid advancement of artificial intelligence (AI),
the traditional marketing strategy has become helpless and unsuitably for a company's long …

Understanding street-level urban vibrancy via spatial-temporal Wi-Fi data analytics: Case LivingLine Shanghai

Y Zhang, C Li, J Li, Z Gao, T Su… - … and Planning B …, 2024 - journals.sagepub.com
Urban vibrancy is a topic of great concern in the field of urban design and planning.
However, the definition and measurement of urban vibrancy have not been consistently and …

Bricks or clicks? Factors influencing shopping behavior of Generation Z

J Kunc, M Novotná, V Reichel, F Križan… - … . Quarterly Journal of …, 2024 - ceeol.com
Research background: Generation Z, a consumer base with significant global impact,
strongly relies on smart devices, shaping their unique consumption patterns. As this …

Indoor location prediction method for shopping malls based on location sequence similarity

P Wang, S Wu, H Zhang, F Lu - ISPRS International Journal of Geo …, 2019 - mdpi.com
Fast and accurate indoor location prediction plays an important part in indoor location
services. This work proposes an indoor location prediction framework named Indoor …