Data and code for "Mapping Urban Energy Transitions: Decoding Solar PV Potential, Energy Burden, and Socio-Demographic Dimensions in the Athens Metropolitan Area"
アテネ大都市圏における都市エネルギー転換のマッピング：太陽光発電ポテンシャル、エネルギー負担、社会人口統計学的側面の解読 (AI 翻訳)
Ghosh, Sushovan, Koutsantoni, Pelagia, Kosmopoulos, Panagiotis, Andrikopoulos, Giannis, Katranitsas, Apostolos
🤖 gxceed AI 要約
日本語
本リポジトリは、アテネ大都市圏の市区町村レベルで屋上太陽光発電ポテンシャル、電力消費、エネルギー負担、CO2削減量をマッピングするためのデータと分析コードを提供する。社会人口統計学的・経済的要因を統合し、都市のエネルギー転換の実現可能性と公平性を評価する。
English
This repository provides data and analysis code for mapping rooftop solar PV potential, electricity consumption, energy burden, and CO2 savings across municipalities in the Athens Metropolitan Area, integrating socio-demographic and economic determinants to assess urban energy transitions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
アテネを対象とした事例研究だが、日本の都市計画やエネルギー転換政策においても、屋上太陽光発電のポテンシャル評価と社会的公平性の分析手法は参考になる。特にエネルギー負担と社会人口統計学的要因の関連性は、日本のエネルギー貧困対策や自治体の再エネ導入計画に示唆を与える。
In the global GX context
This paper offers a granular, municipality-level method for assessing solar PV potential and energy burden, which can inform urban energy transition planning globally. The integration of socio-demographic determinants highlights equity dimensions relevant for just transition frameworks.
👥 読者別の含意
🔬研究者:Provides a reproducible methodology for mapping solar PV potential and energy burden at urban scale, useful for researchers in urban energy systems and energy justice.
🏢実務担当者:Urban planners and energy agencies can use the open data and code to assess rooftop PV potential and identify energy-vulnerable communities.
🏛政策担当者:Demonstrates the importance of integrating socio-demographic data into renewable energy planning to ensure equitable distribution of benefits.
📄 Abstract（原文）
This repository contains the data, analysis code, and derived outputs supporting the manuscript “Mapping Urban Energy Transitions: Decoding Solar PV Potential, Energy Burden, and Socio-Demographic Dimensions in the Athens Metropolitan Area.” The repository supports the municipality-level assessment of rooftop photovoltaic (PV) potential, electricity consumption, PV adequacy, energy burden, and CO₂-equivalent emission savings across the Athens Metropolitan Area (AMA). The analysis integrates socio-demographic determinants (population, population density, and residents per building), socio-economic determinants (annual household income and energy cost), and urban morphological determinants (municipal area and number of buildings). The analytical workflow includes percentile-based classification of the selected determinants into decile classes and Low, Medium, and High (LMH) categories, spatial analysis and mapping, and regression-based assessment of relationships between the determinants and energy metrics. The repository is organized into three directories: data/ , containing the datasets and geospatial information used in the analysis; code/ , containing the Jupyter notebooks and Python scripts used for analysis, spatial mapping, and figure generation; and outputs/ , containing the derived analytical outputs supporting the results presented in the manuscript. Further information on the repository structure, data sources, and analysis workflow is provided in the accompanying README.md .
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21596649first seen 2026-07-27 04:13:32
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