Land Use Demonstrator

a project

Anna Zanchetta
–
PDRA, The Alan Turing Institute

Intro

Objective

modelling system to quantify features
of land use in 🏢 environment

Output

Map for 🇬🇧 urban areas
(MSOA level)

Intro

Objective

modelling system to quantify features
of land use in 🏢 environment

Output

Map for 🇬🇧 urban areas
(MSOA level)

How

Building several 🔑 indicators

🔑 Indicators

Indicators

base scenario

future scenario

Indicators

base scenario

future scenario

Indicators

base scenario

future scenario

Indicators

base scenario

future scenario

Base scenario

Land Use Regression

👇

land use as explanatory variables

Base scenario

4 indicators

▫️ GHG emissions 💨

▫️ Green space
accessibility 🌳

▫️ Jobs accessibility 👷

▫️ House prices 🏠 💰

Base scenario

4 indicators

▫️ GHG emissions 💨

▫️ Green space
accessibility 🌳

▫️ Jobs accessibility 👷

▫️ House prices 🏠 💰

Base scenario

Indicator

GHG emissions 💨

Land use variables

• n. of trips
• mode of transport
🚲 🚗 🚌 🚀
• distance travelled

Futures scenarios

effects of targeted
intervention on land use

Futures scenarios

AI scenario builder tool

Conclusions

👀 👂

Conclusions

👀 👂

project name 💬

Conclusions

👀 👂

Data (MSOA level)

▫️ GHG emissions 💨

☑️ Green space
accessibility 🌳

▫️ Jobs accessibility 👷

▫️ House prices 🏠 💰

Anna Zanchetta 🥚 🐣 🐥 🐔

azanchetta@turing.ac.uk

https://github.com/ciupava/LandUseDemonstrator