Land Use Planning Overview

Principles

Definition

Land use planning is a systematic process and academic field concerned with the deliberate allocation, regulation, and spatial arrangement of land use to achieve specific societal objectives. It investigates the complex interactions between human activities and the environment, employing diverse methodologies to guide sustainable development, conserve resources, and shape the built and natural landscape.

Ontological type

Planning Methods

Core Objectives

Regulatory Frameworks

Key developments

Key Figures

Standardized Evaluation and GIS era

Ian McHarg popularized systematic, layered suitability analysis using overlays to inform land-use planning, laying the methodological groundwork that later GIS-enabled standardization relied on. Roger Tomlinson, the father of GIS, established the data infrastructures and analytical capabilities that made reproducible, GIS-based land-use evaluation feasible for comparing zoning, green infrastructure, and accessibility metrics. Carl Steinitz advanced planning decision-support by integrating GIS into a formal framework of cross-criteria evaluation and scenario testing, articulating urban-form typologies and performance metrics. Michael F. Goodchild contributed to GIScience and data-infrastructure standards in the 1990s, advancing interoperability and methodological rigor that underpinned reproducible land-use analyses and emerging spatial data infrastructures.

Model-Integrated Valuation era

Carl Folke [1] is associated with the Stockholm Resilience Centre [3] and the University of Washington [4] during this era. In the 2001 paper The causes of land-use and land-cover change: moving beyond the myths [7], Folke helped illuminate drivers of land-use and land-cover change and stressed moving beyond simplistic myths, laying groundwork for model-driven integration of socio-economic drivers with ecological valuation. Éric F. Lambin [2] is linked to Stanford University [5] and the University of Wisconsin–Madison [6] during this era. In the same 2001 paper The causes of land-use and land-cover change: moving beyond the myths [7], Lambin helped articulate the drivers and processes of land-use and land-cover change, offering a framework for cross-scale analysis and policy-relevant valuation that supported model-based land-use planning.

High-Resolution Scenario Forecasting era

Limin Yang [1] is associated with Nanjing Agricultural University [3] and Jilin University [4] during the High-Resolution Scenario Forecasting era. Limin Yang [1] contributed to the Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information [7], a milestone providing baseline, high-resolution land-cover change information essential for scenario forecasting and equity-aware planning in this era. George Xian [2] is affiliated with The Graduate Center, CUNY [5] and University of Canterbury [6] during this era. George Xian [2] co-authored the NLCD paper [7], which supplied a decade-long dataset of national land-cover change information that underpins high-resolution scenario forecasting, monitoring, and resilience-focused land-use planning in contemporary practice.