Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Urban Ecosystem Services (UES) Assessment within a 3D-Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples (Italy)

Version 1 : Received: 18 June 2020 / Approved: 19 June 2020 / Online: 19 June 2020 (04:30:48 CEST)

A peer-reviewed article of this Preprint also exists.

Cerreta, M.; Mele, R.; Poli, G. Urban Ecosystem Services (UES) Assessment within a 3D Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples, Italy. Appl. Sci. 2020, 10, 6205. Cerreta, M.; Mele, R.; Poli, G. Urban Ecosystem Services (UES) Assessment within a 3D Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples, Italy. Appl. Sci. 2020, 10, 6205.

Journal reference: Appl. Sci. 2020, 10, 6205
DOI: 10.3390/app10186205

Abstract

The complexity of urban spatial configuration, which affects human-well being and landscape functioning, needs acquisition and 3d visualisation data to inform decision-making process better. One of the main challenges in sustainability research is to conceive spatial models which are capable of adapting to changes in scale and recalibrating the related indicators depending on the degree of detail and data availability. In this perspective, the inclusion of the third dimension into Urban Ecosystem Services (UES) assessment studies highlights the details of urban structure-function relationships, improves modelling and visualisation of data and impacts, aiding decision-makers to localise, assess and manage urban development strategies. The main goal of the proposed framework concerns mapping, evaluating and planning of the UES within a 3d-virtual environment to improve the visualisation of the spatial relationships among the services allocation and the urban fabric density.

Subject Areas

Sustainability; Urban Ecosystem Services (UES); Landscape Services (LS); Larger Urban Zones (LUZ); LIght Detection And Ranging (LIDAR); Multi-Criteria Analytical Scoring Tool (MASCOT)

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