Inicio  /  Sustainability  /  Vol: 7 Núm: 3 Par: March (2015)  /  Artículo
ARTÍCULO
TITULO

Using Urban-Carrying Capacity as a Benchmark for Sustainable Urban Development: An Empirical Study of Beijing

Yigang Wei    
Cui Huang    
Patrick T. I. Lam    
Yong Sha and Yong Feng    

Resumen

Sustainable urban development has been receiving growing concerns from both city managers and urban residents across the world. As a yardstick of sustainability, urban carrying capacity (UCC) is an important conceptual underpinning that guides local governments in promoting sustainable urban development. However, existing studies still lack consensus not only on the theoretical aspects, but also on the methodological issues for UCC monitoring and evaluation. A knowledge gap exists, which this paper fills. This study aims to develop a practical UCC assessment framework to guide urban development towards achieving sustainability. The quantitative-based assessment framework provides a set of measurable indicators and benchmarks for city managers to conduct routine monitoring on progress toward urban sustainability, and helps identify deficient areas, which urgently need resource allocation to improve UCC. Focusing on a case study of Beijing, this study demonstrates that the framework is useful in promoting urban sustainability. This framework provides rich implications for other city prototypes in China as the nation marches into the next phase of development.

 Artículos similares

       
 
Shulin Shi    
Urban built environment professions are facing challenges due to the less predictable future of cities, as well as the increasing expectations from clients and the general public. It is crucial to support and inform these professions with sound evidence ... ver más
Revista: Buildings

 
Sarah A. Chauncey and H. Patricia McKenna    
The purpose of this study is to advance conceptual understandings of the cognitive flexibility construct, in support of creativity and innovation in smart city civic spaces, employing the use of large language model artificial intelligence chatbots such ... ver más
Revista: Urban Science

 
Alireza Hajiheidari, Mahmoud Reza Delavar and Abbas Rajabifard    
Enriching and updating maps are among the most important tasks of any urban management organization for informed decision making. Urban cadastral map enrichment is a time-consuming and costly process, which needs an expert?s opinion for quality control. ... ver más

 
Cai Wu, Yanwen Wang, Jiong Wang, Menno-Jan Kraak and Mingshu Wang    
This study introduces a machine learning-based framework for mapping street patterns in urban morphology, offering an objective, scalable approach that transcends traditional methodologies. Focusing on six diverse cities, the research employed supervised... ver más

 
Hanyue Xu, Kah Phooi Seng, Jeremy Smith and Li Minn Ang    
In the context of smart cities, the integration of artificial intelligence (AI) and the Internet of Things (IoT) has led to the proliferation of AIoT systems, which handle vast amounts of data to enhance urban infrastructure and services. However, the co... ver más
Revista: Future Internet