Quantitative Identification of Rural Functions Based on Big Data: A Case Study of Dujiangyan Irrigation District in Chengdu

Qidi Dong,Di Li,Jun Cai,Linjia Wu,Qibing Chen

doi:10.3390/land11030386

Abstract

Urbanization increases the scales of urban spaces and the sizes of their populations, causing the functions in cities and towns to be in short supply. This study carries out functional space identification on the Dujiangyan elite irrigation area based on remote sensing data and point of interest (POI) data from Open Street Map (OSM), enabling the use of POI data to analyze rural functional spaces. Research and development and big data can greatly improve the accuracy of spatial function recognition, but research on rural spaces has limitations regarding the amount of available data. The Dujiangyan Irrigation District has low spatial aggregation levels for functions, scattered functions and linear distributions along roads. The mixing degrees of regional functions are low, the connections between functional elements are insufficient, and the comprehensive functional quality is low. The features of various functional elements in the region are significant, mostly in the discrete distribution mode, and functional compounding has become a trend. Therefore, it is necessary to integrate spatial resources and improve the centrality of cities and towns to realize the optimal allocation of resources and enable the development of surrounding cities and towns.

Highlights

With the acceleration of China’s urbanization process, the extensive development mode has made the increased the scales of urban spaces in rural areas and the population flows from rural areas to cities and towns, and a series of problems, such as housing shortages, the lack of public service resources and the insufficient supply of commercial facilities, have gradually appeared [1]
Since various functions are interwoven in space, the traditional spatial function recognition approach has many problems, such as complicated classification methods and concerns regarding the accuracy of the output results
This study identified the functional spaces in the Dujiangyan Irrigation District and found that the regional functional spaces exhibit insufficient quality and quantity

Summary

Introduction

With the acceleration of China’s urbanization process, the extensive development mode has made the increased the scales of urban spaces in rural areas and the population flows from rural areas to cities and towns, and a series of problems, such as housing shortages, the lack of public service resources and the insufficient supply of commercial facilities, have gradually appeared [1] In this context, China proposed the concept of “a quarter-hour convenient life circle” to improve the convenience of life. Some scholars used POI and taxi GPS data in Guangzhou, adopted a temporal and spatial calculation method and selected a variety of models to perform cluster analysis on the behavior of citizens They were able to obtain the distribution of advantageous aggregation areas for various urban functions [16]. The existing research on spatial functions that utilize POI data mainly considers cities, while the research on rural areas is sparse

Methods

Results

Discussion

Conclusion