OpenStreetMap history for intrinsic quality assessment: Is OSM up-to-date?

M Minghini, F Frassinelli - Open Geospatial Data, Software and Standards, 2019 - Springer
OpenStreetMap (OSM) is a well-known crowdsourcing project which aims to create a
geospatial database of the whole world. Intrinsic approaches based on the analysis of the …

Measuring walkability with GIS—methods overview and new approach proposal

A Telega, I Telega, A Bieda - Sustainability, 2021 - mdpi.com
Cities occupy only about 3% of the Earth's surface area, but half of the global population
lives in them. The high population density in urban areas requires special actions to make …

OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data

M Raifer, R Troilo, F Kowatsch, M Auer, L Loos… - Open Geospatial Data …, 2019 - Springer
OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire
world. The level of detail of OSM data and its data quality vary much across different regions …

An analysis of the evolution, completeness and spatial patterns of OpenStreetMap building data in China

YJ Tian, Q Zhou, X Fu - ISPRS International Journal of Geo-Information, 2019 - mdpi.com
OpenStreetMap (OSM) is a free map that can be created, edited, and updated by volunteers
globally. The quality of OSM datasets is therefore of great concern. Extensive studies have …

Assessing OpenStreetMap completeness for management of natural disaster by means of remote sensing: A case study of three small island states (Haiti, Dominica …

R Goldblatt, N Jones, J Mannix - Remote Sensing, 2020 - mdpi.com
Over the last few decades, many countries, especially islands in the Caribbean, have been
challenged by the devastating consequences of natural disasters, which pose a significant …

[HTML][HTML] Analyzing the behaviors of OpenStreetMap volunteers in mapping building polygons using a machine learning approach

M Hacar - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
Mapping as an action in volunteered geographic information is complex in light of the
human diversity within the volunteer community. There is no integrated solution that models …

A novel risk score predicting 30‐day hospital re‐admission of patients with acute stroke by machine learning model

G Mercurio, B Gottardelli, J Lenkowicz… - European Journal of …, 2024 - Wiley Online Library
Background The 30‐day hospital re‐admission rate is a quality measure of hospital care to
monitor the efficiency of the healthcare system. The hospital re‐admission of acute stroke …

Citizens' spatial footprint on Twitter—anomaly, trend and bias investigation in Istanbul

AG Gulnerman, H Karaman, D Pekaslan… - … International Journal of …, 2020 - mdpi.com
Social media (SM) can be an invaluable resource in terms of understanding and managing
the effects of catastrophic disasters. In order to use SM platforms for public participatory (PP) …

Interpreting wealth distribution via poverty map inference using multimodal data

L Espín-Noboa, J Kertész, M Karsai - … of the ACM Web Conference 2023, 2023 - dl.acm.org
Poverty maps are essential tools for governments and NGOs to track socioeconomic
changes and adequately allocate infrastructure and services in places in need. Sensor and …

Evaluating OpenStreetMap's performance potential for level of traffic stress analysis

D Wasserman, A Rixey, X Zhou… - Transportation …, 2019 - journals.sagepub.com
Increasingly, metropolitan areas are prioritizing growth in the share of trips taken by bicycle
to improve health outcomes, transportation affordability, and environmental performance of …