Abstract
With the degradation of the environment and the acceleration of urbanization, urban residential land has been undergoing rapid changes and has attracted great attention worldwide. Meanwhile, the quantitative evaluation of the suitability of urban residential land is essential for a better and more powerful understanding of urban residential land planning and improvement. Most urban land suitability studies rely solely on remote sensing data and GIS data to evaluate natural suitability, and few studies have focused on urban land suitability from a socioeconomic perspective. Consequently, this paper integrates remote sensing data (GaoFen-2 satellite image) and social sensing data (Tencent User Density data, Point-of-interest data and OpenStreetMap data) to establish an evaluation framework for analyzing the suitability of urban residential land in the Haidian District, Beijing, China, in which, ecological comfortability, locational livability and overall suitability were evaluated according to five attributes extracted from urban residential land via the factor analysis method. The evaluation results of this case study show that, compared with the suburban area in the northwest, the urban area tends to have lower ecological comfortability and higher locational livability. The overall suitability increases from southeast to northwest, consistent with the spatial distribution of ecological comfortability. This framework can potentially assist with the sustainable development of residential lands and urban land use planning.
Highlights
With the advancement of the economy and technology, demand for urban residential land increases year by year in most of the countries
This paper proposed a new method for evaluating residential land suitability by combining remotely sensed ecological factors and socially sensed residential land attributes, and it applied that method to a case study in the Haidian District of Beijing to analyze the suitability of residential areas
(1) Ecological comfortability evaluation based on remotely sensed green space coverage and Tencent user density (TUD) sourced population density could generate reliable results
Summary
With the advancement of the economy and technology, demand for urban residential land increases year by year in most of the countries. Facing restriction at the social-economic level and from pressures of the environment, population and traffic [3], optimizing urban residential land is a challenging task for urban planning agencies. Land use suitability analysis is the process of determining the eligibility of a certain land tract for a particular use according to specific requirements, preferences, or predictors of some activities [5]. Safety means people can be protected from storms, snow, ice and other dangers from the outside world in a building built on residential land; comfort means people can eat, sleep, rest, enjoy spare time and restore mental strength inside and outside; convenience means people can conduct travel activities such as working, shopping and visiting friends via a convenient transportation system nearby and can access recreation facilities and urban amenities within an acceptable distance. It is aimed to identify the most suitable settlements for residential development after the land use planning is done
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