
In this paper, the interaction between landscape environment and spatial behavior is taken as the research background. From the assessment of landscape, the network big data-behavioral thermodynamic diagram is used to collect the behavioral data, which is quantitatively analyzed with landscape morphological characteristics. The crowd-landscape morphology correlation under modern life mode is explored, together with the interaction between human and environment, to optimize the design decision. This study started with the case of the typical urban public landscape space in the middle and lower reaches of the Yangtze River in China. It conducted a correlation analysis of behavioral research and dual-quantitative-data of landscape morphology. The research results were applied to the case of waterfront landscape design of a city in Jiangsu Province to explore the spatial behavior and the inter-action of landscape morphology, providing some rationalized references and suggestions for the user-oriented landscape design.
Autor / Author: | Jie, Ma; Yuning, Cheng |
Institution / Institution: | Southeast University, Nanjing, China; Southeast University, Nanjing, China |
Seitenzahl / Pages: | 9 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA − Journal of Digital Landscape Architecture, 3-2018 |
Tagung / Conference: | Digital Landscape Architecture 2018 – Expanding the Boundaries: Landscape Architecture in a Big Data World |
Veranstaltungsort, -datum / Venue, Date: | Munich-Freising, Germany 30-05-18 - 02-06-18 |
Schlüsselwörter (de): | |
Keywords (en): | Social media, big data, spatial behaviour, thermodynamic diagram, landscape morphology indicators |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537642038 |
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