通过基于笔画的分层表示分析中国主要城市路网的稳健性

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-07-22 DOI:10.1080/17538947.2024.2375536

Ding Ma, Zhigang Deng, Chengyue Zhang, Renzhong Guo, Minmin Li, Wei Zhu, Xiaoming Li, Ye Zheng, Wuyang Hong, Miaoxi Zhao, Haochen Shi

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引用次数: 0

摘要

在这项研究中，我们探讨了城市道路网络的稳健性，这是城市基础设施的一个重要方面，其故障会严重破坏城市功能。我们的研究方法提供了一种全新的视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analyzing road network robustness in major Chinese cities through hierarchical stroke-based representations

In this study, we explore the robustness of urban road networks, a crucial aspect of urban infrastructure whose failure can significantly disrupt urban functionality. Our approach offers a fresh pe...

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来源期刊

International Journal of Digital Earth 地学-遥感

CiteScore

6.50

自引率

3.90%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that: Progress visions for Digital Earth frameworks, policies, and standards; Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery; Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared; Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level; Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning; Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.