気候誘発性の土地転換と持続可能な地区計画:住宅・再生可能エネルギー・オープンスペースのGISベース配分
Climate-triggered land transition and sustainable district planning: GIS-based allocation for housing, renewable energy and open space (原題)
Shabtai Isaac, Tal Svoray, Boaz Fux, Oz Kira
🤖 gxceed AI 要約
日本語
気候変動による農業収量低下を地区計画のトリガーとし、GISワークフローで住宅・太陽光発電・オープンスペースの配分シナリオを提示。開発優先・保全優先・中立の3シナリオを比較し、PV配分は送電網近接性に強く依存することを示す。イスラエルのOfakimとNetivotの都市拡大データで検証し、計画支援ツールとしての実用性を確認した。
English
This study presents a GIS-based workflow that uses climate-driven agricultural threshold crossing as a trigger for district-scale planning of housing, solar PV, and open space. Scenario analysis shows that PV allocation depends strongly on grid proximity, competing with housing and conservation. Retrospective validation against urban expansion in Ofakim and Netivot supports the approach, offering planners a tool to stress-test land-use 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
日本では、気候変動適応策としての土地利用計画が注目されており、本手法は自治体の立地適正化計画や再生可能エネルギー導入計画に応用可能。ただし、日本の制度文脈(SSBJ等)とは直接関係せず、主に都市計画・適応策の参考となる。
In the global GX context
Globally, this work contributes to climate adaptation planning by linking agricultural thresholds to land-use allocation, relevant for regions facing agricultural decline. It offers a reproducible method for integrating renewable energy into spatial planning, which is useful for climate-resilient development and aligns with broader sustainability goals, though not directly tied to disclosure frameworks.
👥 読者別の含意
🔬研究者:GIS-based planning methods linking climate triggers to land allocation; useful for further research on climate adaptation and renewable siting.
🏢実務担当者:Planners can use the workflow to stress-test district plans and balance housing, PV, and conservation under climate change.
🏛政策担当者:Highlights the need for proactive land-use policies that integrate climate thresholds and renewable energy targets.
📄 Abstract(原文)
Purpose This study aims to present a GIS-based spatial decision-support workflow that converts climate-driven agricultural threshold crossing into proactive planning for district-scale housing, renewable-energy infrastructure and open-space protection. Design/methodology/approach DSSAT-CERES-Wheat is used to define a planning trigger for rain-fed wheat, namely the first year in which simulated yields remain below a locally relevant economic threshold. This trigger activates a GIS workflow in which statutory-plan layers, settlements, transport infrastructure, power lines and protected areas are transformed into suitability surfaces and allocated under development-priority, conservation-priority and neutral policy scenarios. Findings Scenario maps show that threshold crossing can expose former agricultural land to sharply divergent spatial pathways. Development-priority policies increase urban and rural housing footprints and potential sprawl, while conservation-priority policies preserve open-space continuity. PV allocation depends strongly on grid proximity and therefore competes spatially with both housing and conservation objectives. A weighting and distance-decay sensitivity test shows that allocation shares change substantially, especially under development priority, but the contrast between conservation-oriented and development-oriented policy paths remains interpretable. A retrospective validation against 1995–2025 urban expansion in Ofakim and Netivot shows that most observed expansion occurred in the highest urban-influence class, supporting the urban distance-decay component. Practical implications The workflow allows planners to stress-test district plans, identify where agricultural conversion pressure may become a district-planning issue and compare compact growth, renewable-energy deployment and biodiversity protection before statutory plans are revised. Originality/value The paper offers a modular, reproducible workflow that links agricultural-threshold timing with statutory planning constraints and scenario-based allocation, extending built-environment decision support beyond building-scale sustainability toward district-scale land-use transitions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1108/sasbe-12-2025-0812first seen 2026-09-01 05:10:12
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