Next Article in Journal
Face Validation of Database Forensic Investigation Metamodel
Previous Article in Journal
Reduction of the Cement Content by Incorporation of Fine Recycled Aggregates from Construction and Demolition Waste in Rendering Mortars
Open AccessArticle

Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece)

Laboratory of Hydrology and Water Resources Development, School of Civil Engineering, National Technical University of Athens, Heroon Polytechneiou 9, 15780 Zographou, Greece
*
Author to whom correspondence should be addressed.
Received: 3 December 2020 / Revised: 29 December 2020 / Accepted: 10 January 2021 / Published: 17 January 2021
Even though landscape quality is largely a subjective issue, the integration of infrastructure into landscapes has been identified as a key element of sustainability. In a spatial planning context, the landscape impacts that are generated by infrastructures are commonly quantified through visibility analysis. In this study, we develop a new method of visibility analysis and apply it in a case study of a reservoir (Plastiras dam in Greece). The methodology combines common visibility analysis with a stochastic tool for visual-impacts evaluation; points that generate high visual contrasts in landscapes are considered Focus Points (FPs) and their clustering in landscapes is analyzed trying to answer two questions: (1) How does the clustering of Focus Points (FPs) impact the aesthetic value of the landscape? (2) How can the visual impacts of these FPs be evaluated? Visual clustering is calculated utilizing a stochastic analysis of generated Zones of Theoretical Visibility. Based on the results, we argue that if the visual effect of groups of FPs is positive, then the optimal sitting of FPs should be in the direction of faint clustering, whereas if the effect is negative, the optimal sitting of FPs should be directed to intense clustering. In order to optimize the landscape integration of infrastructure, this method could be a useful analytical tool for environmental impact assessment or a monitoring tool for a project’s managing authorities. This is demonstrated through the case study of Plastiras’ reservoir, where the clustering of positively perceived FPs is found to be an overlooked attribute of its perception as a highly sustainable infrastructure project. View Full-Text
Keywords: landscape aesthetic; aesthetic evaluation; stochastic analysis landscape aesthetic; aesthetic evaluation; stochastic analysis
Show Figures

Figure 1

MDPI and ACS Style

Sargentis, G.-F.; Ioannidis, R.; Iliopoulou, T.; Dimitriadis, P.; Koutsoyiannis, D. Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece). Infrastructures 2021, 6, 12. https://0-doi-org.brum.beds.ac.uk/10.3390/infrastructures6010012

AMA Style

Sargentis G-F, Ioannidis R, Iliopoulou T, Dimitriadis P, Koutsoyiannis D. Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece). Infrastructures. 2021; 6(1):12. https://0-doi-org.brum.beds.ac.uk/10.3390/infrastructures6010012

Chicago/Turabian Style

Sargentis, G.-Fivos; Ioannidis, Romanos; Iliopoulou, Theano; Dimitriadis, Panayiotis; Koutsoyiannis, Demetris. 2021. "Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece)" Infrastructures 6, no. 1: 12. https://0-doi-org.brum.beds.ac.uk/10.3390/infrastructures6010012

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop