# RECORD d8cad4f02e195d2dfd70c7decbae7ee10f7f3fe9
# TITLE: The Effects of Environmental Quality on Residential Choice Location
# YEAR: 2014.0  VENUE: nan  DOI: 10.1016/j.sbspro.2014.12.198
# AUTHORS: Vincenza Chiarazzo; P. Coppola; L. dell'Olio; Angel Ibeas; M. Ottomanelli
# PAGES: 10  CANDIDATE TABLE PAGES (1-based): []
# ABSTRACT: Abstract The aim of this research is to investigate the effects of environmental conditions in a given area on the residential location and the consequences on urban sprawl and accessibility. In particular, the study focuses on the effects of environmental quality and landscaping on property values. To this aim, the paper presents some hedonic Multiple Linear Regression models (MLR) estimating the housing price in metropolitan areas as a function of real-estate, environmental and accessibility variables. The hedonic models have been estimated using data collected in the province of Taranto (South-Italy) where the biggest steel factory in Europe (namely, ILVA), and one of the most important industrial port in the Mediterranean Sea are located. The set of considered variables were carried out from a location choice survey and hedonic regression estimators are presented to verify to what extent a relationship between the accessibility conditions, environmental context and the dwelling market values does exist. The results indicate that the inclusion, in the model specification, of the environmental variables between zones fit the data significantly better.


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 Procedia - Social and Behavioral Sciences  162 ( 2014 )  178 – 187 
Available online at www.sciencedirect.com
1877-0428 © 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license 
(http://creativecommons.org/licenses/by-nc-nd/3.0/).
Peer-review under responsibility of PANAM 2014.
doi: 10.1016/j.sbspro.2014.12.198 
ScienceDirect
XVIII Congreso Panamericano de Ingeniería de Tránsito, Transporte y Logística (PANAM 2014) 
The Effects of Environmental Quality on Residential Choice 
Location 
Vincenza Chiarazzoa*, Pierluigi Coppolac, Luigi Dell’Oliob, Angel Ibeasb and Michele Ottomanellia  
aPolitecnico di Bari, via Orabona 4, Bari, 70125 Italy 
bUniversidad de Cantabria, Av.de Los Castros s/n, Santander, 39005 Spain 
cUniversity of Rome “Tor Vergata”, Rome,  Italy  
Abstract 
The aim of this research is to investigate the effects of environmental conditions in a given area on the residential location and 
the consequences on urban sprawl and accessibility. In particular, the study focuses on the effects of environmental quality and 
landscaping on property values. To this aim, the paper presents some hedonic Multiple Linear Regression models (MLR) 
estimating the housing price in metropolitan areas as a function of real-estate, environmental and accessibility variables. 
The hedonic models have been estimated using data collected in the province of Taranto (South-Italy) where the biggest steel 
factory in Europe (namely, ILVA), and one of the most important industrial port in the Mediterranean Sea are located. The set of 
considered variables were carried out from a location choice survey and hedonic regression estimators are presented to verify to 
what extent a relationship between the accessibility conditions, environmental context and the dwelling market values does exist. 
The results indicate that the inclusion, in the model specification, of the environmental variables between zones fit the data 
significantly better. 
 
© 2014 The Authors. Published by Elsevier Ltd. 
Selection and peer-review under responsibility of PANAM 2014. 
Keywors:Land- Use Transport Interaction (LUTI) models; Hedonic pricing models; air quality 
1. Introduction  
Consolidated theories on urban economy are based on the trade-off between accessibility and willingness to pay 
for land acquisition (see for instance Alonso, 1966). As a result, locations with better accessibility to public services, 
 
 
* Corresponding author. Tel.: +39-080-5963380. 
E-mail address: vincenza.chiarazzo@poliba.it 
© 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license 
(http://creativecommons.org/licenses/by-nc-nd/3.0/).
Peer-review under responsibility of PANAM 2014.