[HTML][HTML] Emerging data for pedestrian and bicycle monitoring: Sources and applications

K Lee, IN Sener - Transportation research interdisciplinary perspectives, 2020 - Elsevier
Growing attention on the benefits of non-motorized travel has increased the demand for
accurate and timely pedestrian and bicycle travel data. Advancements in technologies and …

[HTML][HTML] A review of human mobility research based on big data and its implication for smart city development

A Wang, A Zhang, EHW Chan, W Shi, X Zhou… - … International Journal of …, 2020 - mdpi.com
Along with the increase of big data and the advancement of technologies, comprehensive
data-driven knowledge of urban systems is becoming more attainable, yet the connection …

When COVID-19 came to town: Measuring the impact of the coronavirus pandemic on footfall on six high streets in England

M Enoch, F Monsuur, G Palaiologou… - … and Planning B …, 2022 - journals.sagepub.com
Town centres in the economically developed world have struggled in recent years to attract
sufficient visitors to remain economically sustainable. However, decline has not been …

[HTML][HTML] Passively generated big data for micro-mobility: State-of-the-art and future research directions

HH Schumann, H Haitao, M Quddus - Transportation Research Part D …, 2023 - Elsevier
The sharp rise in popularity of micro-mobility poses significant challenges in terms of
ensuring its safety, addressing its social impacts, mitigating its environmental effects, and …

[HTML][HTML] Where are the people? Counting people in millions of street-level images to explore associations between people's urban density and urban characteristics

F Garrido-Valenzuela, O Cats… - … , Environment and Urban …, 2023 - Elsevier
A thorough understanding of how urban space characteristics, such as urban equipment or
network topology, affect people's density in urban spaces is essential to well-informed urban …

Recommender systems based on graph embedding techniques: A review

Y Deng - IEEE Access, 2022 - ieeexplore.ieee.org
As a pivotal tool to alleviate the information overload problem, recommender systems aim to
predict user's preferred items from millions of candidates by analyzing observed user-item …

Understanding crowd behaviors in a social event by passive wifi sensing and data mining

Y Zhou, BPL Lau, Z Koh, C Yuen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Understanding crowd behaviors in a large social event is crucial for event management.
Passive WiFi sensing, by collecting WiFi probe requests sent from mobile devices, provides …

A case study of WiFi sniffing performance evaluation

Y Li, J Barthelemy, S Sun, P Perez, B Moran - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile devices regularly broadcast WiFi probe requests in order to discover available
proximal WiFi access points for connection. A probe request, sent automatically in the active …

Urban informatics in the science and practice of planning

CE Kontokosta - Journal of Planning Education and …, 2021 - journals.sagepub.com
The vast amount of data being generated in and about cities creates both an opportunity and
a dilemma for urban policymakers and planners. This paper articulates the theoretical …

Quantifying place: Analyzing the drivers of pedestrian activity in dense urban environments

Y Lai, CE Kontokosta - Landscape and Urban Planning, 2018 - Elsevier
Understanding pedestrian behavior is critical for many aspects of city planning, design, and
management, including transportation, public health, emergency response, and economic …