Unraveling hurricane Ian’s Impact: A multiscale analysis of mobility networks in Florida DOI

Jinpeng Wang,

Yujie Hu

Transportation Research Part D Transport and Environment, Год журнала: 2024, Номер 136, С. 104482 - 104482

Опубликована: Окт. 30, 2024

Язык: Английский

Mobility disruption and recovery in southwest Florida’s elderly-dense communities during Hurricane Ian DOI
Md. Shaharier Alam, Yujie Hu

Transportation Research Part D Transport and Environment, Год журнала: 2025, Номер 141, С. 104648 - 104648

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

1

Examining the Short-Term Causal Impact of Evacuation Orders on Traffic Speed: Evidence from Hurricane Ian DOI
Shengpeng Jiang, Xiaojian Zhang, Yuan Liang

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Urban flood risk assessment and evacuation planning: a bi-level optimization model for sustainable high-density coastal areas DOI Creative Commons
Xinyue Gu, Yan Mao, Xintao Liu

и другие.

Annals of GIS, Год журнала: 2025, Номер unknown, С. 1 - 13

Опубликована: Янв. 13, 2025

Flooding caused by extreme climate change is becoming increasingly severe, especially in high-density coastal areas worldwide. Although many studies have conducted risk assessments of urban floods, most not formed a comprehensive evacuation plan considering population distribution and flood disaster risk. To further enhance planning emergency management for areas, this study uses Victoria Harbor Hong Kong, typical flood-prone region, as research area. The first conducts exposure assessment classifies different regions according to levels. Then, combining ability with the changing road flows, novel bi-level optimization model proposed allocate zones citizens day night. With upper level using genetic algorithm minimize total system time lower applying user equilibrium evacuee allocation, forms an that considers hotspots impact risks on network. findings show functional high pedestrian flow, tourist spots, commercial centres, schools are exposed higher Besides, simulation matches zoning results actual activities can effectively achieve goal evacuating 480,000 people within 12–18 minutes. This innovatively proposes effective reference government's work.

Язык: Английский

Процитировано

0

Measuring evacuation rates from mobility data during the McDougall Creek wildfire in British Columbia, Canada DOI Creative Commons
Hui Jeong Ha, Jed Long

Computers Environment and Urban Systems, Год журнала: 2025, Номер 119, С. 102286 - 102286

Опубликована: Апрель 5, 2025

Язык: Английский

Процитировано

0

Geospatial big data: theory, methods, and applications DOI Creative Commons
Lei Zou, Yongze Song, Guido Cervone

и другие.

Annals of GIS, Год журнала: 2024, Номер 30(4), С. 411 - 415

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

2

Hurricane evacuation analysis with large-scale mobile device location data during hurricane Ian DOI

Luyu Liu,

Xiaojian Zhang, Shengpeng Jiang

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2024, Номер 139, С. 104559 - 104559

Опубликована: Дек. 14, 2024

Язык: Английский

Процитировано

2

Unraveling hurricane Ian’s Impact: A multiscale analysis of mobility networks in Florida DOI

Jinpeng Wang,

Yujie Hu

Transportation Research Part D Transport and Environment, Год журнала: 2024, Номер 136, С. 104482 - 104482

Опубликована: Окт. 30, 2024

Язык: Английский

Процитировано

1