Home » Real Insights » Simulating the attractiveness of locations: Scenario-driven location analytics with data intelligence

Simulating the attractiveness of locations: Scenario-driven location analytics with data intelligence

by Dr. Marcelo Cajias, Rebecca Restle

reading time: 9 minutes

We live in a period of urbanization. It is predicted that by 2050, more than two-thirds of the world’s population will live in urban areas (Ritchie, 2018) . This, of course, is accompanied by a change in the morphology of cities, and thus a constant dynamic in the availability of amenities. The current volatile environment, dominated by geopolitical tensions, pandemics and economic stress will limit or even accelerate the re-distribution or density of amenities. Whilst the importance of amenity availability has been proven to exert an impact on real estate, it is still unclear how the attractiveness of a location will change if both negative and positive external developments accelerate.

Table of contents:

About the authors

Dr. Marcelo Cajias
Head of Data Intelligence

Dr. Marcelo Cajias heads the Data Intelligence section, which is part of the Investment Strategy and Research team at PATRIZIA. In his role he is responsible for the global portfolio of analytical solutions and dashboards that support strategic investment decisions by means of supervised and unsupervised machine learning forecast models for various asset classes.
Marcelo holds a Ph.D. with his major fields being statistics, econometrics and real estate. His papers have been published in various international journals and he was awarded the RICS best paper award in 2011 and the German real estate research award in 2013.

Rebecca Restle
GeoData Scientist

Rebecca is part of the Data Intelligence team and reports directly to PD Marcelo Cajias. She is a Data Scientist and specializes in geospatial data. In her role, she is responsible for the analysis and communication of geodata and develops new tools for modern location analysis.
She received her Master of Science degree from the University of Augsburg, where she studied geography with a focus on urban studies and geoinformatics.
Her thesis with the title: “The price of clean air – Quantifying air pollution exposure in real estate decisions” was written with the help of PATRIZIA SE and is exemplary for her line of work: Value creation through geodata for the real estate industry.

This site is registered on wpml.org as a development site. Switch to a production site key to remove this banner.