Speaker
Description
The maturation of information technology has changed the operational dynamics of business offices and influenced spatial preferences in urban environments, thus generating opportunities for the reconfiguration of urban office space distribution structures. A significant volume of office space has rapidly emerged outside the Central Business District (CBD), characterized by a level of spontaneity and randomness that contrasts with traditional top-down urban planning; however, this phenomenon received little attention in prior research. Based on Point of Interest (POI) data and Location-Based Service (LBS) data, this research preliminarily identifies the office spaces and office centers in Yangpu District, Shanghai through kernel density analysis and spatial autocorrelation analysis. Building on this, geographic spatial data is used to depict a finer-scale distribution of office space aggregation. The research incorporates foundational geographic datasets, including POI data, Area of Interest (AOI) data, and road network data, etc, as alternative parameters for assessing functional and environmental attributes. Moreover, clustering analysis and typical case studies are undertaken, supplemented by firsthand information from field surveys, to explore the typological characteristics of office centers and their interactions with surrounding functional facilities, ultimately elucidating their formation mechanisms.The research findings indicate: (1) Office spaces are dispersing from the CBD and spatially re-aggregating to form small office centers, exhibits a certain degree of decentralization. (2) These office centers have a surrounding environment characterized by high-density mixed-use areas, near residential communities, universities, etc., and benefit from excellent subway accessibility. Their spatial types can be categorized into four types: Changes in the Nature of Existing Land Use, Small-scale Technology Parks, Complex Redevelopment, and Community We-work Spaces. (3) Their formation mechanisms can be described as integrated, single, and mixed types. This study can enhance the understanding of urban office spaces in the internet age and provide theoretical support for the refined organization and optimization of urban employment spaces.
References
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| Keywords | urban office centers; facilities in the environment; clustering analysis; decentralization |
|---|---|
| Best Congress Paper Award | No |
