FACTORS AFFECTING HOUSING PRICES
Analysis of the factors affecting housing prices around the influence zones of the Quito Metro.
The study investigates the factors impacting housing prices within the walkable influence zones of the 15 stations of the Quito Metro, based on a geospatial analysis and a hedonic pricing model. The study was conducted in 2021, with the Quito Metro system built but not yet operational.
The study investigates the factors impacting housing prices within the walkable influence zones of the 15 stations of the Quito Metro, based on a geospatial analysis and a hedonic pricing model. The study was conducted in 2021, with the Quito Metro system built but not yet operational.
Includes the analysis of urban, socioeconomic, and land-use regulatory aspects in Quito, based on geospatial techniques that allow identifying the possible variables that make up the commercial price of a home.
Address: Núñez de Vela N35-204 e Ignacio San María
Whatsapp: 099 033 8814 e-mail: info@ciuq.ec
Quito - Ecuador
Whatsapp: 099 033 8814 e-mail: info@ciuq.ec
Quito - Ecuador
www.ciuq.ec
-Centro de información Urbana -
Address: Núñez de Vela N35-204 e Ignacio San María
WhatsApp: (+593) 99 033 8814
e-mail: info@ciuq.ec
Quito - Ecuador
All rights reserved
-Centro de información Urbana -
Address: Núñez de Vela N35-204 e Ignacio San María
WhatsApp: (+593) 99 033 8814
e-mail: info@ciuq.ec
Quito - Ecuador
All rights reserved
All rights reverved -Centro de información Urbana - www.ciuq.ec
PHASE 1
PHASE 2
For this section, a Machine Learning methodology is considered with the goal of predicting housing prices based on a series of variables referring to property characteristics. This process includes information on the commercial prices of 1,410 homes, which were obtained through web-scraping from websites where property sale prices are listed.
PHASE 3
Based on the Cox-Box model, a hedonic pricing model is generated to identify the factors affecting housing prices for each of the 15 stations of the Quito Metro.
Geospatial Analysis:
Construction of a commercial price prediction model:
Hedonic Pricing Model
PHASE 4
Recomendations
This section provides recommendations on land value capture, as well as recommendations for land management, based on the instruments in force at the time of the study.
Property Age
Distance to bus stops
Socioeconomic Level
