Urban sprawl is the resultant from expeditious upsurge of the population that leads to unplanned growth of the city, while property price trends are affected by numerous elements but many studies suggests existence of different levels of correlation between sprawls and surrounding property prices. The study focusses on understanding urban growth of the city in past 3 decades followed by the prediction of sprawl for the upcoming decade and an application through correlation between two elements: Urban sprawl and Property price.
Introduction, Aim and ObjectivesMethodology & Study AreaLand use/land cover over the last three decadesLand use/land cover change over the last three decades & Change matrix Classification using neural network machine learning approach and
Spatial orientation of urban growth in spider chart Shannon's entropyUrban sprawl for the year 2030 using the modified-CA technique.Simulation and Predication resultsForecast the change in the property price for the year 2025
Forecasted % increase in price for 2025, Spatial autocorrelation for built-up growth and property price and Conclusion
