Land Use and Supporting Infrastructure Data

This chapter presents the methods, data requirements, and analytical frameworks for land use and supporting infrastructure studies in city planning. It explains how land use data provide the foundation for comprehensive planning by describing existing development patterns, identifying opportunities and constraints, and estimating future land requirements. The discussion traces the evolution of land use classification—from traditional field surveys and aerial mapping to modern GIS-based, AI-assisted, and remotely sensed inventories—emphasizing the growing importance of digital integration and real-time data management. The chapter outlines the structure and applications of traditional and land-based classification systems, their use in land information systems, and the implications of mixed-use development and vertical land utilization. It also describes methods for analyzing and forecasting space requirements for industrial, commercial, residential, institutional, and utility uses, highlighting the interdependence between land use, transportation, and infrastructure systems. Through these elements, the chapter underscores the role of comprehensive, data-driven, and technology-enabled land use inventories in supporting sustainable, equitable, and resilient urban growth.