Locating new commercial opportunities: Predict land use dynamics with the new metro line in Milan

In the previous study, by using the hierarchical agglomerative algorithm, 150000 commercial-activity-related POIs in the 200m*200m grid are classified into 16 patterns in Milan. We further trained a static prediction…

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Retail and Service Clusters: Commercial activities spatial pattern recognition with modified DBSCAN algorithm

This study aims to develop a generalizable approach to analyze the spatial distribution patterns of different types of retail and service businesses in a city. The analysis results provide business…

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Milan Collage: Milan land-use type identification and classification with clustering algorithms

This study aims to classify the land use types in the city with hierarchical agglomerative clustering algorithm. The study is part of my Master degree thesis at Politecnico di Milano…

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How does the river shape the space in cities: a comparative study of activity distribution patterns in cities.

This study aims to explore the relationship between commercial activities and the river by conducting a comparative study among the six world-class river cities. The commercial activity data was collected…

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The center of politics or people? Beijing Core Functional Zone Spatial Analysis with POI data

In 2017, the Beijing Municipal Government announced a new round of Beijing Master Plan, in which the spatial structure of the central urban area was reorganized and planned. The space…

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