振兴城市:城市改造的5R框架方法和大数据见解

IF 2.1 3区 经济学 Q1 DEVELOPMENT STUDIES
Xinlin Ma, Yan Song, Fangzheng Lyu, Yang Yang, Yuhua Wang, Xijing Li, Shaopeng Zhong
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引用次数: 0

摘要

面对当代挑战,城市改造是实现可持续和弹性城市发展的基本途径。城市大数据的日益普及为城市改造提供了一个建立强大分析框架的机会,使更有效的比较研究和明智的决策成为可能。本文介绍了一个全面的5R框架——再居住、再建筑、再运输、再资本化和再绿化——为城市改造提供了一个多维视角。5R框架促进了对城市转型过程的整体理解,并建立了使用不同城市大数据源分析城市改造举措的标准化指标。为了证明5R框架在现实环境中的适应性和有效性,我们对北卡罗来纳州夏洛特市进行了案例研究。通过应用创新的方法对大量数据集进行整合和分析,我们的研究为评估城市改造工作提供了新的见解,如交通可达性、微尺度建筑改善、投资模式、绿地增强和整体宜居性。该方法通过提供一套结构化的指标来全面评估城市转型的各个维度,从而解决了现有的研究空白。除了学术上的进步,5R框架还为政策制定者和城市规划者提供了实用工具,以评估改造干预措施,量化其结果,并了解城市空间演变的动态。通过我们的研究获得的见解强调了使用大数据来扩大城市发展战略的范围和影响的重要性,最终弥合了理论概念与现实城市改造应用之间的差距。我们的研究结果表明,5R框架具有潜力,可以作为更可持续、数据驱动的城市增长和振兴的指导性模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revitalizing Cities: The 5R Framework Approach to Urban Retrofitting and Big Data Insights

Urban retrofitting is a fundamental approach for achieving sustainable and resilient urban development in the face of contemporary challenges. The increasing prevalence of urban big data presents an opportunity to establish a robust analytical framework for urban retrofitting, enabling more effective comparative studies and informed decision-making. This paper introduces a comprehensive 5R framework—Re-inhabitation, Re-building, Re-transportation, Re-capitalization, and Re-greening—to provide a multidimensional perspective on urban retrofitting. The 5R framework facilitates a holistic understanding of urban transformation processes and establishes standardized metrics for analyzing urban retrofitting initiatives using diverse urban big data sources. To demonstrate the adaptability and effectiveness of the 5R framework in a real-world context, we conduct a case study of Charlotte, North Carolina. By applying innovative methods for the integration and analysis of extensive datasets, our study offers new insights into the evaluation of urban retrofitting efforts, such as transportation accessibility, micro-scale building improvements, investment patterns, green space enhancements, and overall livability. This approach addresses existing research gaps by providing a structured set of indicators that assess each dimension of urban transformation comprehensively. Beyond academic advancements, the 5R framework offers practical tools for policymakers and urban planners to evaluate retrofitting interventions, quantify their outcomes, and understand the dynamics of evolving urban spaces. The insights gained through our research highlight the importance of using big data to enhance the scope and impact of urban development strategies, ultimately bridging the gap between theoretical concepts and real-world urban retrofitting applications. Our findings demonstrate the potential of the 5R framework to serve as a guiding model for more sustainable, data-driven urban growth and revitalization.

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来源期刊
Growth and Change
Growth and Change Multiple-
CiteScore
6.40
自引率
3.10%
发文量
55
期刊介绍: Growth and Change is a broadly based forum for scholarly research on all aspects of urban and regional development and policy-making. Interdisciplinary in scope, the journal publishes both empirical and theoretical contributions from economics, geography, public finance, urban and regional planning, agricultural economics, public policy, and related fields. These include full-length research articles, Perspectives (contemporary assessments and views on significant issues in urban and regional development) as well as critical book reviews.
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