Identification of urban functional zones in Macau Peninsula based on POI data and remote information sensors technology for sustainable development

Abstract

This paper presents a sustainable method for urban functional zoning based on POI (Point of Interest) data according to remote intelligent information technology, which can swiftly display a city's spatial structure and evaluate the effectiveness of urban planning and design by identifying and integrating POI data with maps. Using Macau Peninsula as an example, this paper demonstrates how to establish a geographic spatial database of POI data and assess the functional division of urban blocks in the Macau Peninsula through kernel density analysis and functional index under soft sensor information collection method. This method promotes the rational layout of block functions, enhances the quality of urban life, and fosters sustainability. The results reveal that: (1) the urban functions of the Macau Peninsula primarily comprise mixed-function blocks, with fewer single-function blocks, and these are distributed in a scattered pattern that contributes to sustainable development. (2) The spatial distribution of functions in the Macau Peninsula is uneven, with the central aggregation concentrated in the northwest region. (3) The richness and concentration of block functions decrease from the peninsula's center to its outer periphery, highlighting the need for a more sustainable approach in urban planning with the help of remote intelligent information monitoring system.