Abstract
The pattern, process, and mechanism of residential heterogeneity vary significantly with different geographical scales. However, most traditional methods ignore the checkboard and modifiable areal unit problem (MAUP), which may cover up the complexity and hierarchy of social space. Taking Hangzhou city as an example, a multiscalar method was proposed based on the information entropy theory to estimate residential heterogeneity and its scale sensitivity. Based on the sixth population census of Hangzhou and the housing price database of 6,536 residential districts from 2008 to 2018, we explore the scale effect and dynamic characteristics of residential heterogeneity. The results of spatial simulation and geostatistical analysis based on Python Spatial Analysis Library (PySAL) module show that the multiscalar algorithm better presents the real segregation pattern than traditional method, which is one of the new models and technologies in urban geography complex system. Exploring residential heterogeneity through multiscalar lens provides an important basis for the gradual and refined urban renewal.
Highlights
In the context of neoliberalism and capitalism, the complexity of urban residential geography becomes more pronounced as its diversity increases. e sociospatial differentiation dominantly represented by residential heterogeneity is one of the effective ways to identify periphery and vulnerable area
This paper systematically studies the relationship between different dimensions of residential differentiation and provides data support and theoretical basis for differential urban renewal measures and progressive refined spatial restoration. irdly, it contributed to the interpretation of changing segregation patterns in response to the complex interaction of a variety of structures and developments on different spatial levels. e paper is structured as follows. e section presents the social reproduction of geographic scale. e third section presents study area, data processing, and the methodological aspects of multiscalar segregation. e fourth section presents the results of the estimated empirical model for residential heterogeneity. e fifth section presents the conclusion and provides a discussion
Based on the spatial fix theory, this paper proposes an analytical framework for the reproduction of geographic scales. e theory of scale politics makes the study of residential heterogeneity turn from flat to structural scale and from unitary to pluralistic scale
Summary
In the context of neoliberalism and capitalism, the complexity of urban residential geography becomes more pronounced as its diversity increases. e sociospatial differentiation dominantly represented by residential heterogeneity is one of the effective ways to identify periphery and vulnerable area. From the classical factorial ecology of Chicago School to the radical Marxism and positivism in the 1970s [7, 8] and to the recent paradigms of spatial simulation and geostatistics, human geographer has systematically studied the heterogeneity of social area for nearly a century and called for a more complex and multidimensional methodologies [9, 10]. With the advent of fine-grained and massive data, it is possible to quantitatively study the multiscalar phenomenon between and within different spatial units. In view of these identifiable gaps and the opportunities provided by multiscalar measures, three core themes are explored. This paper systematically studies the relationship between different dimensions of residential differentiation and provides data support and theoretical basis for differential urban renewal measures and progressive refined spatial restoration. This paper systematically studies the relationship between different dimensions of residential differentiation and provides data support and theoretical basis for differential urban renewal measures and progressive refined spatial restoration. irdly, it contributed to the interpretation of changing segregation patterns in response to the complex interaction of a variety of structures and developments on different spatial levels. e paper is structured as follows. e section presents the social reproduction of geographic scale. e third section presents study area, data processing, and the methodological aspects of multiscalar segregation. e fourth section presents the results of the estimated empirical model for residential heterogeneity. e fifth section presents the conclusion and provides a discussion
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call