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The night is young: Urban crowdsourcing of nightlife patterns


Santani, Darshan; Biel, Joan-Isaac; Labhart, Florian; Truong, Jasmine; Landolt, Sara; Kuntsche, Emmanuel; Gatica-Perez, Daniel (2016). The night is young: Urban crowdsourcing of nightlife patterns. In: UbiComp2016: ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, 12 September 2016 - 16 September 2016, 427-438.

Abstract

We present a mobile crowdsourcing study to capture and examine the nightlife patterns of two youth populations in Switzerland. Our contributions are three fold. First, we developed a smartphone application to capture data on places, social context and nightlife activities, and to record mobile videos capturing the ambiance of places. Second, we conducted an “in-the-wild” study with more than 200 participants over a period of three months in two Swiss cities, resulting in a total of 1,394 unique place visits and 843 videos that spread across place categories (including personal homes and public parks), social and ambiance variables. Finally, we investigated the use of automatic ambiance features to estimate the loudness and brightness of places at scale, and found that while features are reliable with respect to video content, videos do not always reflect the place ambiance reported by people in-situ. We believe that the developed methodology provides an opportunity to understand the physical mobility, activities, and social context of youth as they experience different aspects of nightlife.

Abstract

We present a mobile crowdsourcing study to capture and examine the nightlife patterns of two youth populations in Switzerland. Our contributions are three fold. First, we developed a smartphone application to capture data on places, social context and nightlife activities, and to record mobile videos capturing the ambiance of places. Second, we conducted an “in-the-wild” study with more than 200 participants over a period of three months in two Swiss cities, resulting in a total of 1,394 unique place visits and 843 videos that spread across place categories (including personal homes and public parks), social and ambiance variables. Finally, we investigated the use of automatic ambiance features to estimate the loudness and brightness of places at scale, and found that while features are reliable with respect to video content, videos do not always reflect the place ambiance reported by people in-situ. We believe that the developed methodology provides an opportunity to understand the physical mobility, activities, and social context of youth as they experience different aspects of nightlife.

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17 citations in Scopus®
6 citations in Microsoft Academic
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Information Systems
Physical Sciences > Hardware and Architecture
Physical Sciences > Computer Networks and Communications
Physical Sciences > Software
Physical Sciences > Human-Computer Interaction
Language:English
Event End Date:16 September 2016
Deposited On:15 Nov 2016 14:24
Last Modified:29 Apr 2020 22:16
Publisher:ACM Digital Library
ISBN:978-1-4503-4461-6
OA Status:Green
Publisher DOI:https://doi.org/10.1145/2971648.2971713

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