Open Access. Powered by Scholars. Published by Universities.®

Environmental Studies Commons™

Open Access. Powered by Scholars. Published by Universities.®

2026

Discipline
Institution
Keyword
Publication
Publication Type

Articles 391 - 392 of 392

Full-Text Articles in Environmental Studies

Owning The Green Grid: The Political Economy Of Renewable Energy Policy Design, Joshua A. Basseches Jan 2026

Owning The Green Grid: The Political Economy Of Renewable Energy Policy Design, Joshua A. Basseches

Faculty Scholarship

How corporate ownership of the electricity grid matters to state-level renewable energy policymaking.

Historically (and for the foreseeable future), most public policy action in the United States to combat the global climate crisis has taken place at the state level. Former President Joe Biden’s administration marked a significant departure from that trend, as his policies pursued a strategy of “electrify everything” (transportation, buildings, and industry). But who owns the electricity system that is the linchpin of such a strategy, and how does this ownership affect the policy preferences of interest groups at the state level? Owning the Green Grid addresses …


Evaluating Spatiotemporal Changes And Predicting Land-Use Dynamics Using An Artificial Neural Network In Worcester City, Massachusetts, Mst Sanjida Alam, Mijanur Rahman, Nusrut Sharmin, Md Naim Molla, Hossain Al Mahbub, Mohammad Muniruzzaman, Md Nadim Rahman, Edris Alam Jan 2026

Evaluating Spatiotemporal Changes And Predicting Land-Use Dynamics Using An Artificial Neural Network In Worcester City, Massachusetts, Mst Sanjida Alam, Mijanur Rahman, Nusrut Sharmin, Md Naim Molla, Hossain Al Mahbub, Mohammad Muniruzzaman, Md Nadim Rahman, Edris Alam

Student Publications [Scholarly]

The land use and land cover (LULC) change has a remarkable impact on the urban ecosystems due to its effect on the environmental processes, natural resources, and urban sustainability. The aim of this study was to conduct the spatiotemporal analysis of LULC in Worcester City, Massachusetts, and to identify the dynamics of forest cover and justify its causes in the given time range of 2003–2023. LULC classification and forest change detection were done with high-resolution datasets provided by the National Land Cover Database (NLCD). The MLP-ANN outperformed logistic regression and achieved higher in overall accuracy percentages and location Kappa values. …