Land (Apr 2023)

New Approach to Landscape-Based Spatial Planning Using Meaningful Geolocated Digital Traces

  • Clara García-Mayor,
  • Almudena Nolasco-Cirugeda

DOI
https://doi.org/10.3390/land12050951
Journal volume & issue
Vol. 12, no. 5
p. 951

Abstract

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The integration of landscape-based approaches into regional and town planning policies is one of the main objectives of the European Landscape Convention. In the twenty-first century, the traditional discipline of city spatial-planning has gradually been incorporating two types of tactics linked to a landscape-based approach: nature-based strategies, which focus on sustainable goals; and people-based strategies, which integrate a social dimension into decision-making processes. A backbone of landscape-based spatial planning challenge consists of reshaping consolidated urban areas to improve quality of life, encouraging people’s physical activity, and supporting healthier urban lifestyles. This study assumes that physical activity is further encouraged by itineraries that incorporate both landscape features—i.e., natural assets and sense of place—and functional diversity associated with urban activities—i.e., public facilities. A methodology was elaborated to define a preliminary landscape-based spatial planning approach, centering on the analysis of walking-related activity in urban and peri-urban areas. For this purpose, geolocated digital traces are intertwined: official city routes, urban facility locations, users’ Wikiloc trails, and Google Places API data. Once applied to selected medium-sized European cities in the Mediterranean area, these data sources lead to the identification of intangible values and dynamics in places where landscape-based spatial planning solutions could be enhanced. As a result, the present work shows the suitability of interrelating these geolocated data sources, permitting to identify landscape features as key components of spatial planning, which permit balancing individual goals, the aims of local communities, and administrative functions.

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