[HTML][HTML] On the challenges and potential of using barometric sensors to track human activity

A Manivannan, WCB Chin, A Barrat, R Bouffanais - Sensors, 2020 - mdpi.com
Barometers are among the oldest engineered sensors. Historically, they have been primarily
used either as environmental sensors to measure the atmospheric pressure for weather …

Big trajectory data: A survey of applications and services

X Kong, M Li, K Ma, K Tian, M Wang, Z Ning… - IEEE access, 2018 - ieeexplore.ieee.org
The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …

Crowdsensim: a simulation platform for mobile crowdsensing in realistic urban environments

C Fiandrino, A Capponi, G Cacciatore… - Ieee …, 2017 - ieeexplore.ieee.org
Smart cities take advantage of recent Information and Communication Technology (ICT)
developments to provide added value to existing public services and improve quality of life …

[HTML][HTML] Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China

B Xue, X **ao, J Li - Geography and Sustainability, 2020 - Elsevier
The industrial spatial relationship is a cross-cutting subject of economic geography and
geographical information science which has considerable significance to promote a …

Involving people in the building up of smart and sustainable cities: How to influence commuters' behaviors through a mobile app game

S Di Dio, M La Gennusa, G Peri, G Rizzo… - Sustainable Cities and …, 2018 - Elsevier
Usually, mobility policies assessed by local institutions tend to intervene on the side of the
urban transport networks, by designing new and expensive infrastructures, whereas only a …

Examining the impact of urban-rural spatial structure on mobility networks: A case study of taxis

WP Nie, SM Cai, ZD Zhao, FJ Gao, ZT Li, T Zhou - Cities, 2023 - Elsevier
Urban livability and sustainability require a deeper understanding of the impact of urban
spatial structure on human mobility. Here two mobility networks generated from two taxi data …

Sociability-driven framework for data acquisition in mobile crowdsensing over fog computing platforms for smart cities

C Fiandrino, F Anjomshoa, B Kantarci… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Smart cities exploit the most advanced information technologies to improve and add value to
existing public services. Having citizens involved in the process through mobile …

A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity

M Guo, B Janson, Y Peng - Accident Analysis & Prevention, 2024 - Elsevier
Pedestrians represent a population of vulnerable road users who are directly exposed to
complex traffic conditions, thereby increasing their risk of injury or fatality. This study first …

Exploring built environment factors on e-bike travel behavior in urban China: A case study of **an

Y Yu, Y Jiang, N Qiu, H Guo, X Han, Y Guo - Frontiers in public health, 2022 - frontiersin.org
E-bike, characterized as a low-carbon and health-beneficial active travel mode, is gradually
becoming popular in China. Although built environment factors are considered to be key …

[HTML][HTML] Comparing human activity density and green space supply using the Baidu Heat Map in Zhengzhou, China

S Zhang, W Zhang, Y Wang, X Zhao, P Song, G Tian… - Sustainability, 2020 - mdpi.com
Rapidly growing cities often struggle with insufficient green space, although information on
when and where more green space is needed can be difficult to collect. Big data on the …