screenshot of map using lingo software

Area-Based Location Optimization: Urban Green Space Selection

By the end of this course you will understand the basic principles of area-based location optimization and be able to solve the knapsack, threshold, and shape problems using LINGO software. The course also shows how to map the results of these skills in QGIS.

  • 48 Mins
  • Published
    2021
AICP CM
What You Will Learn
  • Learn the foundational concepts in area-based location optimization, including the definitions of the knapsack, threshold, and shape problems.
  • Apply this knowledge by solving these problems in the context of land acquisition for the development of community gardens.

Location optimization problems come in various shapes and sizes, and planners or land developers are frequently faced with the need to acquire a number of land parcels with varying characteristics. This course deals with techniques to optimize the selection of parcels based on criteria to either maximize benefit (e.g., total size of parcels selected) or minimize cost, often with some stipulation on spatial contiguity. These techniques are then applied in the context of an urban greening application, where the planner is tasked with assembling parcels of land to use for community gardens.

By the end of this course you will understand the basic principles of area-based location optimization and be able to solve the knapsack, threshold, and shape problems using LINGO software. The course also shows how to map the results of these skills in QGIS.

AICP CM

This course is approved for 0.75 AICP CM Credit.