Designing a resilient humanitarian supply chain by considering viability under uncertainty: A machine learning embedded approach DOI
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 194, P. 103943 - 103943

Published: Dec. 30, 2024

Language: Английский

Spatiotemporal dynamics of social vulnerability to natural hazards: Trends and projections from 2002 to 2030 in northwestern Iran DOI
Abolfazl Jaafari, Davood Mafi-Gholami, Bahram Choubin

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106172 - 106172

Published: Jan. 1, 2025

Language: Английский

Citations

0

On the Use of a Bike-Sharing System in Extreme Weather Events: The Case of Porto Alegre, Rio Grande do Sul, Brazil DOI Open Access
Kayck de Araújo, Luciana Conceição de Lima, Mariana Andreotti Dias

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2291 - 2291

Published: March 6, 2025

This article aims to analyze the use of a bike-sharing system (BSS) during flooding event caused by extreme rainfall that hit municipality Porto Alegre, Brazil, in May 2024. Public transport services were interrupted, prompting an investigation into resilience BSS crisis. Considering data from Tembici company, set approximately 400,000 trips made between 104 stations Alegre January 2024 analyzed. Daily National Institute Meteorology (INMET) compared with daily trip flow identify travel patterns on days most affected flooding. The results indicate abrupt drop shared bicycle 2024, but 7600 recorded despite Regarding pattern 1 and 10 May, still for recreational purposes (73%), while work study accounted 22% total, only 5% delivery services. Overall, climate question points continuation practical activities, although more significant effects economic-related activities lesser leisure-related activities.

Language: Английский

Citations

0

Designing a resilient humanitarian supply chain by considering viability under uncertainty: A machine learning embedded approach DOI
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 194, P. 103943 - 103943

Published: Dec. 30, 2024

Language: Английский

Citations

0