2016
DOI: 10.1007/978-3-319-42089-9_12
|View full text |Cite
|
Sign up to set email alerts
|

Countryside vs City: A User-Centered Approach to Open Spatial Indicators of Urban Sprawl

Abstract: Abstract.The interplay between land take and climate change is reviving the debate on the environmental impacts of urbanization. Monitoring and evaluation of land-cover and land-use changes have secured political commitment worldwide, and in the European Union in particular -following the agreement on a "no net land take by 2050" target. This paper addresses the ensuing challenges by investigating how open data services and spatial indicators may help manage urban sprawl more effectively. Experts, scholars, st… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
13
0
1

Year Published

2017
2017
2021
2021

Publication Types

Select...
4
4

Relationship

1
7

Authors

Journals

citations
Cited by 15 publications
(14 citation statements)
references
References 22 publications
0
13
0
1
Order By: Relevance
“…According to the above considerations, in the Ci.Vado investigation people were asked about the places in the Park where they find a particular personal feeling (Question 3), and the routes that they would recommend visiting (Question 6). Focused on specific locations within the Park area, the answers to these questions provided valuable information; indeed, the mentioned locations were recorded in QGIS, an Open Source Geographic Information System [69], which made it possible to produce a model for the spatial representation of the perceived landscape [70]. However, even the computer record of these data posed some fairly problematic issues.…”
Section: Setting Spatial Representation Model and Elaborating Thematimentioning
confidence: 99%
“…According to the above considerations, in the Ci.Vado investigation people were asked about the places in the Park where they find a particular personal feeling (Question 3), and the routes that they would recommend visiting (Question 6). Focused on specific locations within the Park area, the answers to these questions provided valuable information; indeed, the mentioned locations were recorded in QGIS, an Open Source Geographic Information System [69], which made it possible to produce a model for the spatial representation of the perceived landscape [70]. However, even the computer record of these data posed some fairly problematic issues.…”
Section: Setting Spatial Representation Model and Elaborating Thematimentioning
confidence: 99%
“…Firstly, we produced a general reasoning about some spatial-economic indicators deriving from the analysis on land use transition, and then we tried to link this with the local economy. The study of land take and its detailed dynamics has already been presented in germinal studies oriented to profile and classify forms of urban sprawl [24]. A rough classification gave a better explanation of the never-ending pressures to expand a newly built environment, despite attempts to regenerate and re-use the existing one.…”
Section: Aim Of the Researchmentioning
confidence: 99%
“…The phenomenon has been a growing trend over the last decades due to the increase in the tourism flows. In Apulia, Salento is the most emblematic example [24,26]. According to the National Institute of Statistics (ISTAT), in 2014, approximately four million tourists showed some daily presence in Salento [27].…”
Section: Context Of Studymentioning
confidence: 99%
See 1 more Smart Citation
“…Instead, this paper will attempt to formulate a methodology with which to map the "static distributions" of the LS with data-derived estimates [36]. The Landscape Services Indicators (LSI) will be treated as the proxy-criteria, which simulate the current state of the services, while the spatial composite indicators will be created by aggregating the LSI using multi-criteria combinatorial rules [37,38]. The research will aim to explore the main theories and mapping approaches linked to the concept of the LS/ES and will provide a general framework for the visualisation of the relationships between the LS classes and well-being dimensions, according to the Millennium Ecosystem Assessment [11].…”
mentioning
confidence: 99%