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OD Analysis in Urban Center

Key Words

OD analysis; Mobile signaling; Urban center; Functional structure; Morphological structure

Introduction

The central area of the city gathers the core functions of the city economy, society and politics. It is the core display area of the city image and the concentrated embodiment of the city level. Based on the background of the epidemic and the impact of online shopping, this study firstly analyzed the necessity of the research on the matching of function and morphological structure of urban central areas. This paper summarizes the definition of the function, shape and structure of urban central area and the matching between them as well as the research frontiers at home and abroad, summarizes and analyzes the existing research, and puts forward the shortcomings, so as to derive the purpose, significance and innovation of this study.
In the process of quantitative analysis of specific functional structure and morphological structure, this paper selects Nanjing Xinjiekou, known as “the first business district in China”, as the research object to acquire and clean big data such as mobile phone signaling data, night light data, POI data, building base data, plot surface data and microblog check-in data in the research area. Firstly, through mobile signaling data and core area identification in Xjiekou area, the functional structure and morphological structure of Xjiekou are measured respectively. The functional structure is mainly divided into production, living and public service functions, while the morphological structure is mainly measured quantitatively by building height, building density and floor area ratio. Moreover, the thermal and OD flows in Nanjing main urban area and Xjiekou area at different time periods are monitored through mobile signaling data, and the real crowd behavior characteristics are analyzed based on the 500m*500m grid. In addition, a large number of microblog check-in data are obtained to analyze people’s emotional map, so as to obtain the public’s real evaluation of each function.
Finally, the paper calculated the coupling degree of the business functional structure and morphological structure of Nanjing Xjiekou through the bivariate Moran index, and carried out in-depth analysis of the correlation and matching degree results, and put forward relevant planning policy suggestions from the three aspects of mixed land use mode construction, the combination of online and offline, and intelligent dynamic monitoring and drainage.

Conclusion

We propose an innovative model for calculating the coupling degree between the functional structure and the morphological structure of the city center. A series of big data such as mobile phone signaling data, night light data, POI data, building base data, plot surface data and microblog check-in data were acquired and cleaned in the study area. Firstly, through mobile signaling data and core area identification in Xjiekou area, the functional structure and morphological structure of Xjiekou are measured respectively. The functional structure is mainly divided into production, living and public service functions, while the morphological structure is mainly measured quantitatively by building height, building density and floor area ratio. Moreover, the thermal and OD travel flows in Nanjing main urban area and Xjiekou area at different time periods are monitored through mobile signaling data, and the real crowd behavior characteristics are analyzed based on the 500m*500m grid. In addition, a large number of microblog check-in data are obtained to analyze people’s emotional map, so as to obtain the public’s real evaluation of each function. In this paper, bivariate Moran index is used to calculate the coupling degree of the functional structure and morphological structure of Nanjing Xinjikou, and the correlation and matching degree results are analyzed. Finally, relevant planning policy suggestions are put forward from three aspects: construction of mixed land use mode, integration of online and offline and intelligent dynamic monitoring and drainage. The underlying socioeconomic reasons and mechanisms will be discussed in subsequent studies.

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