Abstract
As a kind of geospatial big data, point of interest (POI) with useful information has become a hot research topic. Compared with traditional methods, big data has great potential in developing a more accurate method for identifying the urban spatial pattern. This paper uses diversity index and kernel density analysis of POI data on several types of urban infrastructure to investigate the identification of urban block development stages in Wuhan, and divides them into the primary, growth, and mature stage. Its accuracy is verified by exploring urban micro-centers. Results show that: (1) the spatial pattern of urban blocks in Wuhan presents the distribution of “mature blocks concentrated like a core, growth blocks distributed like two wings, and primary blocks with wide range distributed surround”; (2) areas with more connected construction land and streets with better socio-economic status tend to have a higher level of maturity, vice versa; (3) balancing the number of micro-centers at different stages is beneficial to promote the flattened urban development of Wuhan in the future. The research proves that this method is feasible, and it is also applicable to the study of urban spatial pattern in other cities.
Highlights
The point of interest (POI) of urban facilities is one of the map objects that attract most attention from professional urban planners and ordinary people in the field of digital city
This paper explored the spatial pattern and future development trend of urban blocks in Wuhan by identifying the development stage of urban blocks in Wuhan, which was verified by the distribution of urban micro-centers, aiming to form a research model of future urban development in Wuhan through a systematical study on the urban spatial structure
The calculation results of Urban Block Development Index (UBDI) reveal that the urban block development index of most blocks is very low, and the area in the primary stage accounts for a large proportion, while the mature blocks in the central urban area are relatively dense, and the scale of the blocks at the growth stage cannot keep up with the urban development demand
Summary
The point of interest (POI) of urban facilities is one of the map objects that attract most attention from professional urban planners and ordinary people in the field of digital city. It can describe all kinds of engineering and social service facilities in urban space and contains abundant cultural, economic, and natural information [1]. Due to the strong functional link between different types of facilities, the POIs often appear as a cluster in geospatial spaces, i.e., hotspots, such as the spatial hotspots formed by the clustering of financial facilities, information consulting facilities, and retail facilities in the central business district of the city, as well as the clustering of cultural facilities like landmark buildings and museums in the touristic area [2]. How to define hotspots and their spatial locations has always been a problem in the disciplines of GIS and urban planning [1]
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