How Plans Prepare for Future Uncertainty: Integrating Land Change Modeling and the Plan Integration for Resilience Scorecard™ DOI
Youjung Kim, Galen Newman, Philip Berke

et al.

Journal of Planning Education and Research, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 24, 2024

This study integrates Land Change Modeling with the Plan Integration for Resilience Scorecard™ methodology to assess coastal communities’ preparedness uncertain future urban growth and flood hazards. Findings indicate that, under static climate conditions, network of plans in Tampa is well prepared across all scenarios, but less so face a changing climate. Specifically, scenario outputs that consider change suggest need more resilient reduce vulnerability compared current land use plan. Notably, some existing policies are likely lead counterproductive outcomes extensive flooding.

Language: Английский

Exploring the Cooling intensity of Green cover on Urban Heat Island: A Case Study of Nine Main Urban Districts in Chongqing DOI
Ao Wang, Yan Dai, Maomao Zhang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106299 - 106299

Published: March 1, 2025

Language: Английский

Citations

2
Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021 DOI Creative Commons

Thanakrit Yoongsomporn,

Alvin C. G. VARQUEZ, Sunkyung Choi

et al.

Urban Science, Journal Year: 2025, Volume and Issue: 9(2), P. 50 - 50

Published: Feb. 18, 2025

Spatiotemporal evaluation of human mobility is crucial to deepen and broaden the understanding drivers mechanisms behind urbanization. In this study, daytime was quantified based on inflow outflow population in 500 × m spatial grids using a processed version hourly DOCOMO Mobile Spatial Statistics (MSS) dataset. Using K-means clustering temporal values over Greater Tokyo Area, five typical diurnal patterns representing distinguishable intensities weekdays weekends were identified. Mapping their spatiotemporal changes from period January 2019 December 2021, different perspective regional explored. These include influence COVID-19 pandemic mobility, relationship between locations public infrastructures, large-scale across central peripheral areas inside large megacity.

Language: Английский

Citations

0
The interaction between urban heat island and urban parks: An in-situ measurement-based review DOI
Semra Ogce, Hüseyin Ögçe, Siyu Yu

et al.

Land Use Policy, Journal Year: 2025, Volume and Issue: 157, P. 107628 - 107628

Published: May 31, 2025

Language: Английский

Citations

0
How Plans Prepare for Future Uncertainty: Integrating Land Change Modeling and the Plan Integration for Resilience Scorecard™ DOI
Youjung Kim, Galen Newman, Philip Berke

et al.

Journal of Planning Education and Research, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 24, 2024

This study integrates Land Change Modeling with the Plan Integration for Resilience Scorecard™ methodology to assess coastal communities’ preparedness uncertain future urban growth and flood hazards. Findings indicate that, under static climate conditions, network of plans in Tampa is well prepared across all scenarios, but less so face a changing climate. Specifically, scenario outputs that consider change suggest need more resilient reduce vulnerability compared current land use plan. Notably, some existing policies are likely lead counterproductive outcomes extensive flooding.

Language: Английский

Citations

0