[HTML][HTML] Mobile technology and studies on transport behavior: A literature analysis, integrated research model, and future research agenda

Y Sun, C Liu, C Zhang - Mobile Information Systems, 2021 - hindawi.com
The prevalence of mobile technology has been significant in transport research. Despite a
growing application spectrum of smartphone uses and interests in mobility inference, little …

[图书][B] Data-centric regenerative built environment: big data for sustainable regeneration

S Banihashemi, SZ Sohi - 2022 - taylorfrancis.com
This book examines the use of big data in regenerative urban environment and how data
helps in functional planning and design solutions. This book is one of the first endeavors to …

Digital methods for sensory media research: Toolmaking as a critical technical practice

J Chao, D van Geenen, C Gerlitz… - …, 2024 - journals.sagepub.com
'Digital methods' turn to medium-specific and online avenues for social and cultural
research. While these approaches foster empirical media studies, it has become …

[HTML][HTML] Citizen science for traffic monitoring: investigating the potentials for complementing traffic counters with crowdsourced data

M Janež, Š Verovšek, T Zupančič, M Moškon - Sustainability, 2022 - mdpi.com
Traffic counts are among the most frequently employed data to assess the traffic patterns
and key performance indicators of next generation sustainable cities. Automatised counting …

Actionable descriptors of spatiotemporal urban dynamics from large-scale mobile data: A case study in Lisbon city

MG Silva, SC Madeira… - … and Planning B: Urban …, 2023 - journals.sagepub.com
Mobile phones share location records, offering the opportunity to monitor and understand
emerging population dynamics in urban centers. With the aim of supporting urban planning …

Min–max movement of barrier coverage with sink-based mobile sensors for crowdsensing

H Mei, L Guo, W Zou, P Huang, Z Yu, Y Qin - Pervasive and Mobile …, 2022 - Elsevier
Emerging crowdsensing applications imposed a new barrier coverage problem called min–
max sink-based linear barrier coverage (min–max SLBC). In the problem, we are given a …

Characterizing Mobile Service Demands at Indoor Cellular Networks

S Bakirtzis, AF Zanella, S Rubrichi, C Ziemlicki… - Proceedings of the …, 2023 - dl.acm.org
Indoor cellular networks (ICNs) are anticipated to become a principal component of 5G and
beyond systems. ICNs aim at extending network coverage and enhancing users' quality of …

[HTML][HTML] Optimization of Taxi Allocation for Minimizing CO2 Emissions Based on Heuristics Algorithms

M Mondal, K Sano, T Kato, C Puppateravanit - Smart Cities, 2023 - mdpi.com
Recently, the rapid climate change caused by increasing CO2 emissions has become a
global concern. Efficient transportation systems are necessary to reduce CO2 emissions in …

Smart factories of Industry 4.0: determination of the effective smartphone position for human activity recognition using deep learning

N Kannen, A Subasi - … Signal Processing for Industry 4.0, Volume …, 2023 - iopscience.iop.org
Industry 4.0 is the fourth Industrial Revolution, transforming workplaces and factories into
smart ones with automation at various levels. The recent boom in deep learning techniques …

[HTML][HTML] A Method of User Travel Mode Recognition Based on Convolutional Neural Network and Cell Phone Signaling Data

Z Yang, Z Xie, Z Hou, C Ji, Z Deng, R Li, X Wu, L Zhao… - Electronics, 2023 - mdpi.com
As urbanization accelerates, traffic congestion in cities has become a problem. Therefore,
accurately identifying urban residents' travel patterns is crucial for urban traffic planning and …