Geospatial modeling and forecasting of urban land use change using Google Earth Engine and machine learning. [PDF]
Latif RMA +5 more
europepmc +1 more source
The Driving Mechanism of Urban Land Expansion from 2005 to 2018: The Case of Yangzhou, China. [PDF]
Meng L, Si W.
europepmc +1 more source
ABSTRACT Waste management remains a critical grand challenge in African countries. While entrepreneurship has been a viable strategy for addressing this challenge, it is fraught with constraints. This study investigates the strategies orchestrated by entrepreneurs to navigate adversity in Waste management and ensure the social and economic viability of
Tahiru Azaaviele Liedong +3 more
wiley +1 more source
Dataset of physicochemical, microbiological, and plant root parameters of 135 soils from various urban land uses Blois city, France. [PDF]
Norini MP +26 more
europepmc +1 more source
How Do Urban Land Expansion, Land Finance, and Economic Growth Interact? [PDF]
Zhao K, Chen D, Zhang X, Zhang X.
europepmc +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
Investigating the influence of urban land use on asbestos concentration and identifying the most vulnerable areas in Shiraz, Iran. [PDF]
Norzaee S +6 more
europepmc +1 more source
Radial analysis and scaling of urban land use. [PDF]
Lemoy R, Caruso G.
europepmc +1 more source
Fueling Tomorrow: Scenario Planning for the Future of Gas Stations
ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa +2 more
wiley +1 more source
Machine Learning Approaches for Geospatial Modeling of Urban Land Surface Temperature: Assessing Geographical Compactness, Interpretability, and Causal Inference. [PDF]
Hoang ND.
europepmc +1 more source

