Urban Resilience Lab.

Modeling the spatial and temporal relation between urban land use, temperature and energy demand

The research project aimed to enhance urban sustainability by studying the interrelation between land use, temperature dynamics, and energy demand in an implemented urban system. Through comprehensive spatial and temporal modeling, the study analyzed data sets to evaluate the significance of various indicators.

Objectives

1. Land Use and Temperature Analysis: The study investigated the correlation between land use and summertime Land Surface Temperature (LST) using a geographic information system (GIS) and cellular automata model. Spatial regression analysis identified opportunities for spatial planning to reduce Surface Urban Heat Island (SUHI) effects.

2. Urban Morphology and Energy Demand: The research analyzed urban morphology indicators for urban energy modeling. Ordinary Least Squares Regression (OLS) and Geographically Weighted Regression (GWR) models identified influential indicators for sustainable urban design.

3. Energy Consumption, Land Use, and Climate Change: The study explored the cause-effect relationship between energy consumption, land use, and temperature, providing insights for sustainable urban planning and climate adaptation.

Methodology

The research used comprehensive spatial and temporal modeling techniques to evaluate the impact of indicators on land use, temperature dynamics, and energy demand in the urban system.

Findings and Outcomes

The study provided insights for spatial planning to reduce SUHI effects by allocating different land-use types strategically. Urban morphology indicators guided sustainable urban design, optimizing energy consumption and improving energy efficiency.

The exploration of the cause-effect relationship between energy consumption, land use, and temperature facilitated sustainable urban planning and climate adaptation strategies, creating climate-adaptive and resilient urban environments.

Conclusion

The implemented research project successfully enhanced urban sustainability by studying the intricate relationship between land use, temperature dynamics, and energy demand. The findings informed spatial planning, energy management, and climate adaptation, fostering resilient and environmentally conscious cities. Through empirical spatial and temporal modeling, this project contributed significantly to the knowledge on climate change's impact on urban development, promoting sustainable and energy-efficient urban environments.