Screening the stones of Venice: Mapping social perceptions of cultural significance through graph-based semi-supervised classification

Mapping cultural significance of heritage properties in urban environment from the perspective of the public has become an increasingly relevant process, as highlighted by the 2011 UNESCO Recommendation on the Historic Urban Landscape (HUL). With the ubiquitous use of social media and the prosperous developments in machine and deep learning,...

How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong

Urban rail development can increase land value, reduce commute time, and increase accessibility, as reported in the literature. However, little is known about the impact of opening urban rail transit stations on people's sentiment, particularly in the context of large metropolises where population density is significantly high. This paper...

Tracking traffic congestion and accidents using social media data: A case study of Shanghai

Traffic congestion and accidents take a toll on commuters' daily experiences and society. Locating the venues prone to congestion and accidents and capturing their perception by public members is invaluable for transport policy-makers. However, few previous methods consider user perception toward the accidents and congestion in finding and...

How can social media become useful data source for designing for emotion?: Developing a social media inspection tool for emotion design

Emo:on-driven design inspects people’s emotional experiences in a targeted context and study the concerns behind these emo:ons. The is connected to an understanding to people’s personal experiences. Social media is playing an increasingly important role in daily life, as the technologies to do social media mining is developing, it is becoming a...

Utilizing volunteered geographical information for the benefit of city planners and urban science: Case of Rotterdam

One of the main challenges of the recently popular data science field is establishing a common ground of understanding between technical methods and domain knowledge. Making smart and effective use of data is just as important for public organizations as it is for private organizations as our cities and their problems get more complex with...