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The sociocultural sources of urban buzz

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  • Daniel Arribas-Bel
  • Karima Kourtit
  • Peter Nijkamp

Abstract

Cities have become playgrounds for competitive behaviour and rapid economic dynamics. However, in many cities (or urban agglomerations) economic growth is mainly manifested in specific geographic areas, where creative people and innovative entrepreneurs are located. In this paper we offer first the conceptual and operational foundation for analyzing this so-called ‘urban buzz’ and its interlinked primary drivers. We next develop an analytical framework for testing the buzz hypothesis, with a special reference to the importance of social bonds and networks in Amsterdam. In our empirical analysis we use a unique dataset on social network connectivity and spatial concentration in a city, based on location-sharing services through the use of Foursquare data. Our urban buzz model shows clearly that buzz and socioeconomic (cultural) diversity are closely connected phenomena.

Suggested Citation

  • Daniel Arribas-Bel & Karima Kourtit & Peter Nijkamp, 2016. "The sociocultural sources of urban buzz," Environment and Planning C, , vol. 34(1), pages 188-204, February.
    • Handle: RePEc:sae:envirc:v:34:y:2016:i:1:p:188-204
    DOI: 10.1177/0263774X15614711
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Amitrajeet A. Batabyal & Peter Nijkamp, 2019. "Creative capital, information and communication technologies, and economic growth in smart cities," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(2), pages 142-155, February.
    2. Obschonka, Martin & Lee, Neil & Rodríguez-Pose, Andrés & Eichstaedt, johannes Christopher & Ebert, Tobias, 2018. "Big Data, artificial intelligence and the geography of entrepreneurship in the United States," OSF Preprints c62tn, Center for Open Science.
    3. Batabyal, Amitrajeet A. & Nijkamp, Peter, 2016. "Creative capital in production, inefficiency, and inequality: A theoretical analysis," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 553-558.
    4. Kourtit, Karima & Nijkamp, Peter, 2018. "Big data dashboards as smart decision support tools for i-cities – An experiment on stockholm," Land Use Policy, Elsevier, vol. 71(C), pages 24-35.
    5. Silver, Daniel & Silva, Thiago H, 2021. "Complex Causal Structures of Neighbourhood Change: Evidence From a Functionalist Model and Yelp Data," SocArXiv wprf8, Center for Open Science.
    6. Raluca Ignat & Marius Constantin, 2020. "Multidimensional Facets of Entrepreneurial Resilience during the COVID-19 Crisis through the Lens of the Wealthiest Romanian Counties," Sustainability, MDPI, vol. 12(23), pages 1-29, December.
    7. Olson, Alex & Calderon-Figueroa, Fernando & Bidian, Olimpia & Silver, Daniel & Sanner, Scott, 2020. "Reading the city through its neighbourhoods: Deep text embeddings of Yelp reviews as a basis for determining similarity and change," SocArXiv 8jbvg, Center for Open Science.
    8. Abdul Shaban & Karima Kourtit & Peter Nijkamp, 2020. "India’s Urban System: Sustainability and Imbalanced Growth of Cities," Sustainability, MDPI, vol. 12(7), pages 1-20, April.
    9. Karima Kourtit & Peter Nijkamp & João Romão, 2019. "Cultural Heritage Appraisal by Visitors to Global Cities: The Use of Social Media and Urban Analytics in Urban Buzz Research," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
    10. Batabyal, Amitrajeet A. & Beladi, Hamid, 2018. "Artists, engineers, and aspects of economic growth in a creative region," Economic Modelling, Elsevier, vol. 71(C), pages 214-219.

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