2018
DOI: 10.1007/978-3-319-92099-3_17
|View full text |Cite
|
Sign up to set email alerts
|

Geographically Weighted Regression for the Post Carbon City and Real Estate Market Analysis: A Case Study

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
11
0
1

Year Published

2018
2018
2020
2020

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 34 publications
(13 citation statements)
references
References 22 publications
0
11
0
1
Order By: Relevance
“…In many cases. this organic matter can be used in a variety of forms for building the cities of the future, i.e., the cork of Quercus suber L. [65][66][67][68][69]. Forest management is known to be a good tool for removing atmospheric CO 2 [70].…”
Section: Discussionmentioning
confidence: 99%
“…In many cases. this organic matter can be used in a variety of forms for building the cities of the future, i.e., the cork of Quercus suber L. [65][66][67][68][69]. Forest management is known to be a good tool for removing atmospheric CO 2 [70].…”
Section: Discussionmentioning
confidence: 99%
“…The research centres on issues linked to land price volatility [4,5], inflation [3], structure [6], changes [7][8][9], and factors influencing land price [1,[10][11][12]. An estimation of the effect of environmental factors on the real estate prices caused by environmental change has been analysed in the research of Del Giudice and Massimo [13,14]. Their case study deals with noise pollution influence on residential units.…”
Section: Land Price Sustainabilitymentioning
confidence: 99%
“…is well known (Quinto-Canas et al 2010, 2018, Vila-Viçosa et al 2015, Piñar Fuentes et al 2017, Spampinato et al 2016, 2017, Vessella et al 2017). Some species (such as cork oak) are specifically very useful for carbon sequestration and as raw materials for a post carbon city (Del Giudice et al 2019, De Paola et al 2019, Malerba et al 2019, Massimo et al 2019, Spampinato et al 2019).…”
Section: Introductionmentioning
confidence: 99%