Unpacking the role of volunteered geographic information in disaster management: focus on data quality

M Tavra, A Lisec, M Galešić Divić… - … , Natural Hazards and …, 2024 - Taylor & Francis
The increasing occurrence of disasters worldwide has motivated researchers to
continuously evaluate potential technological advances to support disaster management …

[HTML][HTML] The wisdom of crowds for improved disaster resilience: a near-real-time analysis of crowdsourced social media data on the 2021 flood in Germany

M Moghadas, A Fekete, A Rajabifard, T Kötter - GeoJournal, 2023 - Springer
Transformative disaster resilience in times of climate change underscores the importance of
reflexive governance, facilitation of socio-technical advancement, co-creation of knowledge …

Auditing geospatial datasets for biases: using global building datasets for disaster risk management

CM Gevaert, T Buunk… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The presence of biases has been demonstrated in a wide range of machine learning
applications; however, it is not yet widespread in the case of geospatial datasets. This study …

Mapping the Future of Sustainable Development Through Cloud-Based Solutions: A Case Study of OpenStreetMap

M Ahmad, A Ali - Promoting Sustainable Management Through …, 2023 - igi-global.com
OSM plays a crucial role in advancing sustainable development across the economy,
environment, and society. It can foster economic sustainability by enabling infrastructure …

An exploratory research on the maturity level of public's emergency capability

Y Wang, H Chen, RLK Tiong - Natural Hazards, 2023 - Springer
In recent years, with the frequency, complexity and impact of various emergencies have
continued to increase, improving the emergency capability of the public has become an …

Community mapping based on Milton Santos as a tool for disaster response and risk management in self-built communities: case study of El Pacífico, Medellín …

LA Rivera-Flórez, A Builes-Jaramillo… - Cogent Social …, 2024 - Taylor & Francis
This paper aims to showcase the community mapping process that took place in the El
Pacífico neighborhood in the city of Medellín, Colombia, which runs alongside the urban …

Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling

C Han, B Lu, J Zheng, D Yu, S Zheng - Geo-spatial Information …, 2024 - Taylor & Francis
OpenStreetMap (OSM) is a voluntary platform designed to provide free and up-to-date
geographic data. Since OSM is based on multisource geographic data provided by the …

An open flame and smoke detection dataset for deep learning in remote sensing based fire detection

M Wang, P Yue, L Jiang, D Yu, T Tuo… - Geo-spatial Information …, 2024 - Taylor & Francis
The early warning of fires is pivotal for preventing substantial economic losses and
ecological damage. However, the enhancement of fire model generalization performance …

A situation-aware emergency evacuation (SAEE) model using multi-agent-based simulation for crisis management after earthquake warning

M Keykhaei, NN Samany… - Geo-spatial …, 2023 - Taylor & Francis
Earthquake is a disastrous natural hazard that threatens numerous cities worldwide. The
interval between the foreshock and the main event can sometimes last several minutes …

Overlooked voices under strict lockdown: mapping humanitarian needs in 2022 Shanghai COVID-19 outbreak

B Zhou, L Zou, M Yang, B Lin, D Mandal… - Cartography and …, 2024 - Taylor & Francis
The COVID-19 pandemic that emerged in 2020 has caused significant health crises
worldwide. Countries and regions around the globe have practiced different policies to …