Built houses as a tool to control residential land speculation - A case study of Bahria Town, Lahore

The purpose of this paper was to study the role of the urban land market in the spatial development of Mashhad. In this study, factors such as the status of buying and selling land, standard deviation of habitants’ income, changes in green space, land-use realization rate, and building violation formed the indicators for appraising the land market. The MORRIS model was used to evaluate the rate of development of this case study in three general groups, namely economical, social-cultural, and spatial-physical. The TOPSIS model was also used in classifying the development of each urban district. The effect of each development indicator on the general development was attained by using multivariate regression. The results showed that the economical development indicator has the highest effect on total development of the district. Pearson’s correlation coefficient was used to study the relationship between each indicator of the urban land market and the development of neighborhoods in this district. The sale indicator for the effect of the urban land market on urban district development was evaluated by the causal modeling method, which has the highest influence on the spatial development in Mashhad. In fact, owing to the price of land in some neighborhoods, selling and buying of land increased – it resulted in land speculation, development of some parts of the district, and reduction of spatial equality among neighborhoods. It is suggested that introducing a more accurate tax system can reduce urban land speculation.

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Urban Residential Land Suitability Analysis Combining Remote Sensing and Social Sensing Data: A Case Study in Beijing, China

Sustainability ◽

10.3390/su11082255 ◽

2019 ◽

Vol 11 (8) ◽

pp. 2255 ◽

Cited By ~ 7

Author(s):

Huiping Huang ◽

Qiangzi Li ◽

Yuan Zhang

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Urban Land ◽

Urban Land Use ◽

Land Suitability ◽

Residential Land ◽

Social Sensing ◽

Sensing Data ◽

Beijing China

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.

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