Weighted Proximity to Parks

Ruochen Ji
X-Information Modeling Spring 2021
2 min readApr 29, 2021

Description

Evaluate each block’s proximity to parks by measuring both the walking distance and the corresponding park’s lot area.

Computing

For every residential lot given, the tool selects the closest points on the edge of parks and computes the shortest walking distance to them.

Computes shortest walking distance to parks

Then the user can decide how the distance is weighted. Although the recommended weight distribution should be as follows:

Weighted Proximity = Weight Factor * Target Park Area

Then the user will be able to remap the result and start color mapping the lots.

Use weighted proximity for color mapping

How To Use

Step by Step Instructions

  1. Prepare GIS .shp file by PLUTO
  2. Extract residential lots poly curves as origins, stored in “curve” component
  3. Extract park lots as destinations, with lot area information
  4. Plug two inputs in
  5. Adjust weight distribution if needed
  6. Use exported weighted proximity data to color the surfaces

Troubleshooting

None.

Required Files

https://drive.google.com/file/d/1VAlcp7WMt_sVREWWe8nIQuUcbmjxvfdG/view?usp=sharing

Input Part

Limitations & Context

This tool only works for PLUTO data with the correct index system.

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