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

и другие.

Journal of Planning Education and Research, Год журнала: 2024, Номер unknown

Опубликована: Авг. 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.

Язык: 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

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106299 - 106299

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

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

и другие.

Urban Science, Год журнала: 2025, Номер 9(2), С. 50 - 50

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Land Use Policy, Год журнала: 2025, Номер 157, С. 107628 - 107628

Опубликована: Май 31, 2025

Язык: Английский

Процитировано

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

и другие.

Journal of Planning Education and Research, Год журнала: 2024, Номер unknown

Опубликована: Авг. 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.

Язык: Английский

Процитировано

0