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The traffic noise influence in the housing market A case study for Lisbon Sandra Vieira Gomes PhD in Civil Engineering 1 Escola Superior de Actividades.

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Presentation on theme: "The traffic noise influence in the housing market A case study for Lisbon Sandra Vieira Gomes PhD in Civil Engineering 1 Escola Superior de Actividades."— Presentation transcript:

1 The traffic noise influence in the housing market A case study for Lisbon Sandra Vieira Gomes PhD in Civil Engineering 1 Escola Superior de Actividades Imobiliárias Portugal European Real Estate Society 21st Annual Conference 25th-28th June 2014

2 The traffic noise influence in the housing market. A case study for Lisbon 2 The increase of motorization has brought many advantages for mobility, but has also decreased the quality of life of populations in terms of noise and air quality.

3 The traffic noise influence in the housing market. A case study for Lisbon 3 Some car, truck, and bus traffic on neighborhood streets is a necessity given our current life style. However, this does not mean that these streets must accommodate ever increasing amount of traffic. As traffic volumes increase the safety of our streets declines along with property value, air quality, and the quiet we enjoy in our homes.

4 The traffic noise influence in the housing market. A case study for Lisbon Traffic noise 4 Traffic noise can be considered as an environmental externality from road transport system. As so, it affects the value that people are willing to pay for their houses. Considering the current trend of expanding cities, increasing the volume of associated vehicular traffic and also the increased density of the urban areas, one can say that the problems associated with noise tend to aggravate.

5 The traffic noise influence in the housing market. A case study for Lisbon 5 Noise is defined as unwanted sound. Human ears are able to respond to sound over the frequency range of about 20 Hz to 20 kHz and over the audible range of 0 dB (the threshold of perception) to 140 dB (the threshold of pain)

6 The traffic noise influence in the housing market. A case study for Lisbon Portuguese housing profile 6 Vacant housing units by purpose in Portugal (2011)

7 The traffic noise influence in the housing market. A case study for Lisbon 7 Finished housing units in new construction and rehabilitation 2001-2011

8 The traffic noise influence in the housing market. A case study for Lisbon 8 Excess of housing units facing the number of classic families - 2011

9 The traffic noise influence in the housing market. A case study for Lisbon Case study: Lisbon, Portugal 9

10 The traffic noise influence in the housing market. A case study for Lisbon Data 10 Statistical data on housing characteristics, from Census (National Statistical Institute) Traffic volumes from a traffic assignment model (Lisbon City Council) Housing sales (Real Estate Agency LANE) GIS

11 The traffic noise influence in the housing market. A case study for Lisbon Spatial analysis between road traffic and housing in Lisbon 11 1) Identify the locations were housing units density was higher Housing units per square meter in Lisbon

12 The traffic noise influence in the housing market. A case study for Lisbon 12 2) Traffic assignment model For the streets without traffic information, an estimate was performed, based on the hierarchic class of the streets and on the average peak hour traffic volume given by the traffic assignment model. This model has a partial coverage which enables a complete analysis of the Lisbon city. Class 1Class 2Class 3Class 4Class 5 150470140011302750

13 The traffic noise influence in the housing market. A case study for Lisbon 13 Class Conversion factors Class 116,389 Class 219,036 Class 322,518 Class 425,999 Class 529,481 Conversion factors for Peak hour traffic (8:00 to 9:00) to AADT

14 The traffic noise influence in the housing market. A case study for Lisbon 14 This information was crossed with the housing areas locations, through the touching boundaries, allowing to identify the areas exposed to higher traffic

15 The traffic noise influence in the housing market. A case study for Lisbon 15 This information was crossed with the housing unit’s density, in order to find whether there were any dens areas with high levels of traffic. 75th percentil of housing units density crossed with the 75th percentil of traffic

16 The traffic noise influence in the housing market. A case study for Lisbon The relation between traffic noise and the variation on the housing value in Lisbon 16 This exercise was made although it was not possible to collect the data on all the houses for sale in Lisbon. This kind of data is only collected to the local council level and not to the specific location (street and number). The housing data used in this analysis was provided by the Real Estate Agency LANE and comprises 613 houses that were put into the housing market in 2013, which are about 10% of the total house market for Lisbon.

17 The traffic noise influence in the housing market. A case study for Lisbon 17 Location of the housing units for sale included in the dataset

18 The traffic noise influence in the housing market. A case study for Lisbon 18 ApartmentsVillas AverageMinimumMaximumAverageMinimumMaximum Price (€)617 797,4747 800,003 995 000,001 909 456,79280 000,009 500 000,00 Price/m23 006,451 260,169 296,483 190,83700,007 539,68 Area (m2)159,7620,00735,00548,1790,007 542,00 Nº of rooms4,21,0010,009,064,0028,00 Nº of bedrooms2,90,008,004,622,0010,00 Nº of bathrooms2,71,0014,004,931,0015,00 Summary statistics of the housing unit’s dataset

19 The traffic noise influence in the housing market. A case study for Lisbon Modelling the effect of traffic on housing prices 19 A classic linear model was used to analyse the existence of an influence: CoefficientsEstimateStd. Errort valuePr(>|t|) Ln(  0 )856989.30672962.70011.746<2e-16 *** AADT(  1 )-5.3776.047-0.8890.374 The functional form tested was: Price = β0+ β1.Traffic.

20 The traffic noise influence in the housing market. A case study for Lisbon 20 The model did not present a good fitting with a multiple R- squared of 0.0012. The independent variable AADT cannot be considered significant, since the p-value is higher than 0.05. This means that no evidence was found that traffic is influencing housing prices. Mention must be made to the fact that the dataset was rather small (about 10%) when compare to the full house market. This fact may have some influence on the conclusions.

21 The traffic noise influence in the housing market. A case study for Lisbon Final Notes 21 The analysis presented in this study aims to contribute to the scientific knowledge of the effect of traffic in the housing market in Portugal In order to achieve these goals, a geocoded accident database was developed, which allowed a fast extraction of relevant information on a geographical basis. The exploration of this database allowed to identify areas of the city of Lisbon that are affected by higher road traffic.

22 The traffic noise influence in the housing market. A case study for Lisbon 22 This information can be used to: promote the quality of housing units if they are located outside the areas with critical exposition, require the proper measures to minimize the effects of traffic noise when they are located inside the areas with critical exposition in terms of traffic. Final Notes (cont.)

23 The traffic noise influence in the housing market. A case study for Lisbon 23 In what concerns the modelling task, no evidence was found that traffic is influencing housing prices. Mention must be made to the fact that the dataset was rather small (about 10%) when compare to the full house market. This fact may have some influence on the conclusions. The importance of increasing the number of observations is crucial, in order to obtain more robust results. The inclusion of additional explanatory variables could also be explored. Final Notes (cont.)

24 The traffic noise influence in the housing market. A case study for Lisbon Thank you Sandra Vieira Gomes sandracgvieira@gmail.com 24


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