Flowers as attractions in urban parks: Evidence from social media data |
| |
| Institution: | 1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China;2. Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China;3. Karelian Institute, University of Eastern Finland, Joensuu FI-80101, Finland;4. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;5. School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China;1. UMR 7324 CNRS CITERES, 33 allée Ferdinand de Lesseps, 37200, Tours, INSA Centre Val de Loire, 8 rue de la Chocolaterie, 41000 Blois, France;2. LTSER, Zone Atelier Loire, France;3. Institut Méditerranéen de Biodiversité et Ecologie, UMR CNRS-IRD, Avignon Université, Aix-Marseille Université, IUT d′Avignon, 337 chemin des Meinajariés, Site Agroparc BP 61207, 84911 Avignon Cedex 09, France;1. Forest & Nature Lab, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Belgium;2. Centre for Environmental and Energy Law, Department of European, Public and International Law, Ghent University, Belgium;3. Quality Assurance Office, Department of Educational Policy, Ghent University, Belgium;4. Research Group Mycology, Department of Biology, Faculty of Sciences, Ghent University, Belgium;5. Department of Infrastructure and Facility Management, Ghent University, Belgium;1. College of Life Sciences, Zhejiang University, Hangzhou 310058, China;2. School of Art and Archaeology, Zhejiang University City College, Hangzhou 310015, China;3. College of Forestry and Biotechnology, Zhejiang A&F University City College, Hangzhou 311300, China;1. The Holden Arboretum, 9500 Sperry Rd., Kirtland, OH 44094, United States;2. Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, United States |
| |
| Abstract: | Urban parks are among the most important urban public services. Quantifying their visitation intensity and understanding the driving forces behind their popularity is of great relevance to urban planning. We analyze the behavior of park visitors in Beijing based on phenological information extracted from social media data. Specifically, we built a dataset utilizing natural language processing techniques and co-word analysis methods to explore the connection between flowers and park visitation. Our findings revealed that: (1) According to the changing trend of visitor volumes and their peak times, urban parks can be divided into “single-peak” (visitor volumes show a single peak, with significant seasonal characteristics) and “multi-peak” (visitor volumes show multiple peaks with no obvious seasonal characteristics) parks; (2) There is an association between flowers and visitor volumes to urban parks, with a noticeable increase in the frequency of visits to parks especially in spring (i.e., during flowering); (3) Different types of flowers have varying appeal to attract visitors. Further, parks with one or few “dominant flowers” appeal to more visitors than parks without a clear dominating flower (or flowers). Our results provide implications for urban park design and management for improving their scenic qualities. |
| |
| Keywords: | Attraction Beijing Flower Park visitation Social media data Urban park |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
