Abstract

A quantitative study of urban vitality brings new insights for evaluating the external construction environment and internal development power of cities. However, it still has limited knowledge of the relations between people’s diverse urban life and urban vitality, although urban activities are often used as the proxy for urban vitality. This paper aims to deeply mine the content of urban social life and reveal the driving mechanism of urban vitality after inspecting human activities. We propose a general framework for exploring the spatial pattern and driving mechanism of urban vitality using multi-source big data. It builds a mapping relationship between various urban activities and urban vitality aspects, including economic and social. In addition, the physical environment (static) and human–land interaction (dynamic) indicators are designed to analyze the driving mechanism of urban vitality using the Geographically Weighted Regression model. The results show that the spatial pattern and driving factors of urban vitality are heterogeneous over space regarding both the economic and social aspects of our experimental study. This work provides us with multiple perspectives to understand the connotation of urban vitality and urges us to develop rational strategies to make the city more vital, coordinated, and sustainable.

Highlights

  • Creating a vibrant city is an essential goal of urban development [1]

  • As shown in Figure is used to e5Is,ItIi,mmaotset tohfetheecoanreoasmwicithvihtaiglihtyecionntoemniscitvyitaalnitdy asroecicaolncveinttarlaitteyd iinntethnesicteyntorafleaarceha. aTnhaeilrytical unit according tdoistthriebumtioanpppriensgenrteslaartiinogn-tsyhpiepsbtreutcwtuereenfroamctiinvsiitdyettyopoeutasindde.uTrhbeaencovnoitmaliictvyi.taAlitsysohfoXwinnjieiknoFuigure 5I,II, most of the areas with high economic vitality are concentrated in the central area

  • The Aoti business district covers the financial district of Hexi CBD, its overall vitality level has been reduced, affected by its broad coverage area

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Summary

Introduction

Creating a vibrant city is an essential goal of urban development [1]. How to effectively evaluate the abstract concepts and connotations of urban vitality has always been a concern of urbanists, sociologists, and urban planners. With the development of geospatial information science and the emergence of new data sources, spatial big data mining and GIS (Geographic Information System) analysis techniques have been successfully applied to quantitative evaluation of urban vitality [2,3]. The quantitative evaluation methods assess the differences in urban construction, spatial design, and urban development within a city and among different cities [6,7]. The relationship between landscape characteristics and urban vibrancy has been discussed [8,9]. They all have provided reference opinions for urban planning practice. It is insufficient to study urban daily life (such as production, house-life, and entertainment) and its relations with urban vitality when facing the complex urban giant system

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