A GIS-based spatial analysis of housing price and road density in proximity to urban lakes in Wuhan City, China

Abstract

As one of the essential urban open spaces, lakes usually contribute immensely to the quality of residents′ daily lives. Different from hedonic approach employed in existing researches on urban open spaces in China, this paper integrates housing price surface with road density to analyze the spatial characteristics in proximity to urban lakes in Wuhan City, China. With the expansion of Wuhan City, urban lakes became polluted, they shrunk or even disappeared, leading to unfavorable conditions for sustainable development of the city. To better understand the spatial relationship between the city and lakes, we classify the urban lakes in Wuhan central area into ′lakes in the urban center′ and ′lakes in urban fringe′. Based on housing price surface we explore the spatial characteristics in proximity to different lakes and differences between the lakes. We also use Geographic Information System (GIS) tool to calculate road density as a supplementary indicator to reflect the accessibility in proximity to urban lakes. The results indicate that relative independence exists between different towns, and the spatial characteristics are different depending on scales and locations. In most of cases, the road density is lower where closer to the lakeshore while the housing price exhibits an opposite pattern. We conclude that city governments and urban planners should give more considerations to these spatial differences, somewhere should be better planned and protected as an important waterfront and somewhere the control of unreasonable real estate development nearby should be strengthened.

Urban human activity density spatiotemporal variations and the relationship with geographical factors: An exploratory Baidu heatmaps‐based analysis of Wuhan, China

“…Second, Wuhan is not only one of the first cities covered by Baidu's heatmap, but also one of the most active cities in Baidu's heatmap data. Third, Wuhan has not only a special geographical location, but also various geographical elements within the city (Zuo, Shukui, & Wenwu, 2015). Wuhan is located in the middle reaches of the Yangtze River at the intersection of the Hanshui River and Yangtze River.…”

“…The circle layer is set to provide a basis for better quantifying the urban spatial structure and portraying the urban element spatial distribution (Jiao, 2015). Based on the actual size of the selected study area, the precision of the POI data, and with reference to existing studies for the same study area (Cheng, 2011;Zuo et al, 2015), we set a 1-km isometric rating circles. Further, in this study, the circle density of each layer of the mean HASD was calculated according to the following formula:…”

Complex Spatial Morphology of Urban Housing Price Based on Digital Elevation Model: A Case Study of Wuhan City, China

“…The decentralization of urban factors provides a new dimension slope [54], and curvature [55] are common indicators used to analyze and depict topographic characteristics. Over the past years, the DEM has also been successfully applied in social science areas, including the spatial distribution of urban factors and urban planning [20,42,52]. However, compared with the application of DEM in natural science, some application fields in the social sciences still need to be further explored, such as the characterization of complex spatial morphology, three-dimensional analysis, visualization, and so on.…”

“…Spatial interpolation methods (such as Kriging method and Inverse Distance Weighted method) are often used to estimate the land price in an unknown area in a city [36,37]. An amount of literature uses Kriging and Co-Kriging for urban housing price prediction [38][39][40][41][42]. Some hedonic pricing models integrate different Kriging techniques for predicting house prices [43,44], and the performance of different semi-parametric spatial hedonic models have also been compared [45].…”

Pollution Assessment and Sources Identification of Heavy Metals in Surface Sediments from the Nantaizi Lake, Middle China

“…Main sources of heavy metal of lake environment are divided into human activities and natural sources [3][4]. In recent years, with rapid development of urbanization and industrialization, artificial sources, such as wastewater discharge, mining and fossil fuel combustion etc., and natural sources, such as geological structure activity, erosion and weathering etc., have caused entry of a great deal of heavy metal pollutants into waters, and made them gathered at lake sediments, which causes huge damage to urban lakes and threatens urban resident health [5][6][7][8]. As important constituent part of urban ecological system, urban lakes play an irreplaceable role in many respects [9].…”