Data from mobile phone operators: A tool for smarter cities?

J Steenbruggen, E Tranos, P Nijkamp - Telecommunications Policy, 2015 - Elsevier
The use of mobile phone data provides new spatio-temporal tools for improving urban
planning, and for reducing inefficiencies in present-day urban systems. Data from mobile …

Measuring inequality in community resilience to natural disasters using large-scale mobility data

B Hong, BJ Bonczak, A Gupta, CE Kontokosta - Nature communications, 2021 - nature.com
While conceptual definitions provide a foundation for the study of disasters and their
impacts, the challenge for researchers and practitioners alike has been to develop objective …

[HTML][HTML] Understanding the use of urban green spaces from user-generated geographic information

V Heikinheimo, H Tenkanen, C Bergroth, O Järv… - Landscape and urban …, 2020 - Elsevier
Parks and other green spaces are an important part of sustainable, healthy and socially
equal urban environment. Urban planning and green space management benefit from …

Integrating social network data into GISystems

C Andris - International Journal of Geographical Information …, 2016 - Taylor & Francis
Today, online social media outlets provide new and plentiful sources of data on social
networks (SNs) and location-based social networks (LBSNs), ie, geolocated evidence of …

[PDF][PDF] Tourism geography: Emerging trends and initiatives to support tourism in Morocco

JGM Steenbruggen - 2014 - research.vu.nl
In both the industrialized and the developing world, tourism is increasingly being seen as a
potential source for rapid economic growth and prosperity, and as one of the development …

Informing Urban Flood Risk Adaptation by Integrating Human Mobility Big Data During Heavy Precipitation

J Cai, J Yang, M Liu, W Fang, Z Ma… - Environmental Science & …, 2024 - ACS Publications
Understanding the impact of heavy precipitation on human mobility is critical for finer-scale
urban flood risk assessment and achieving sustainable development goals# 11 to build …

[HTML][HTML] Complete trajectory reconstruction from sparse mobile phone data

G Chen, AC Viana, M Fiore… - EPJ Data …, 2019 - epjdatascience.springeropen.com
Mobile phone data are a popular source of positioning information in many recent studies
that have largely improved our understanding of human mobility. These data consist of time …

Application of mobile phone location data in mapping of commuting patterns and functional regionalization: a pilot study of Estonia

J Novak, R Ahas, A Aasa, S Silm - Journal of Maps, 2013 - Taylor & Francis
The paper presents initial steps into the research of commuting patterns and functional
regions using mobile phone location data. The main aim is to introduce and discuss the …

Understanding the spatial structure of urban commuting using mobile phone location data: a case study of Shenzhen, China

X Yang, Z Fang, L Yin, J Li, Y Zhou, S Lu - Sustainability, 2018 - mdpi.com
Understanding commuting patterns has been a classic research topic in the fields of
geography, transportation and urban planning, and it is significant for handling the …

Identifying Urban Park Events through Computer Vision-Assisted Categorization of Publicly-Available Imagery

Y Tan, W Li, D Chen, W Qiu - ISPRS International Journal of Geo …, 2023 - mdpi.com
Understanding park events and their categorization offers pivotal insights into urban parks
and their integral roles in cities. The objective of this study is to explore the efficacy of …