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作者

Mohammadhossein Ghahramani;Nadina J. Galle;Carlo Ratti;Francesco Pilla

来源

CITIES,Vol.119,Issue1,Article 103395

语言

英文

关键字

Smart cities;Urban green space;Natural language processing;Urban planning;Artificial intelligence

作者单位

Spatial Dynamics Lab, University College Dublin, Ireland;Senseable City Laboratory, Massachusetts Institute of Technology, USA;Spatial Dynamics Lab, University College Dublin, Ireland;Senseable City Laboratory, Massachusetts Institute of Technology, USA

摘要

Social media services such as TripAdvisor and Foursquare can provide opportunities for users to exchange their opinions about urban green space (UGS). Visitors can exchange their experiences with parks, woods, and wetlands in social communities via social networks. In this work, we implement a unified topic modeling approach to reveal UGS characteristics. Leveraging Artificial Intelligence techniques for opinion mining using the mentioned platforms (e.g., TripAdvisor and Foursquare) reviews is a novel application to UGS quality assessments. We show how specific characteristics of different green spaces can be explored by using a tailor-optimized sentiment analysis model. Such an application can support local authorities and stakeholders in understanding—and justification for—future urban green space investments.