ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume VIII-M-1-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 101–108, 2021
https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-101-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 101–108, 2021
https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-101-2021

  27 Aug 2021

27 Aug 2021

A DATA COLLECTION FRAMEWORK FOR MANAGING ACCESSIBILITY AND INCLUSION IN URBAN HERITAGE

S. Marconcini1, D. Treccani1, L. Díaz-Vilariño2, and A. Adami1 S. Marconcini et al.
  • 1Dept. of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano, 20133 Milan, Italy
  • 2Universidade de Vigo, CINTECX,GeoTECH group, 36310 Vigo, Spain

Keywords: Inclusion, Urban Heritage environment, Accessibility, Evaluation parameters, Mobile Laser Scanning, Point Cloud Processing, Semantic Segmentation, Accessibility Maps

Abstract. The successful implementation of inclusive design strategies cannot overlook the development of a preliminary phase aimed at gathering accessibility data of the built environment. This set of information helps achieve two major objectives: planning measures for improving the fruition of a city and communicating to end users the opportunities to exploit places. Specifically, this is fundamental in Cultural Heritage contexts both to survey their specific features and convey their historical values. To this end, such information must be accurate and gathered quickly. This paper aims to provide a set of parameters through which it is possible to comprehensively assess accessibility of Urban Heritage environments. Particularly, such task has been carried out in a more general framework targeted to investigate, how and by which tools, the current design practice achieve the aforementioned objectives. The article proposes a geometric survey through Mobile Laser Scanning system as a data gathering tool. The semantic segmentation of the resulting point cloud is envisioned as a suitable method for the extraction of the accessibility parameters proposed. Basing on first tests applied on a case study, a UNESCO site, the article provides and discusses a final proposal for the best data processing and validation, in addition to the key tools for sharing this information.