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[HTML][HTML] On the challenges and potential of using barometric sensors to track human activity
Barometers are among the oldest engineered sensors. Historically, they have been primarily
used either as environmental sensors to measure the atmospheric pressure for weather …
used either as environmental sensors to measure the atmospheric pressure for weather …
Big trajectory data: A survey of applications and services
The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …
contributes to the explosive growth of data, especially trajectory data with rich information …
Crowdsensim: a simulation platform for mobile crowdsensing in realistic urban environments
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
when and where more green space is needed can be difficult to collect. Big data on the …