Research on the historical evolution of urban street morphology under the background of big data and Internet of Things

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Jianrong Zhang, Binsong Zheng
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引用次数: 0

Abstract

With the advent of the era of Industry 4.0, big data and the Internet of Things came into being. The rise of big data and the Internet of Things has had an impact on all walks of life. The development of big data and the Internet of Things provides an opportunity for the evolution of street form. With the rapid development of smart cities, the street shape is also changing more and more towards the direction of intelligence. Taking Chunxi Road in Chengdu as an example, this paper studies the generation mechanism of street morphology. The factors influencing the generation of street form are divided into two categories: (1) legal factors. (2) Architectural design factors. By building a model, the article quantitatively analyzes the impact of these two types of factors on street form. At the same time, the article conducts an in-depth study on the evolution of ancient Chinese street morphology. The ancient Chinese street form is divided into four stages, namely the Tang and Song Dynasties, the Yuan, Ming and Qing Dynasties, the Late Qing Dynasty, and the founding of New China. The influencing factors of street shape are divided into four categories, namely, the influence of commodity economy, the influence of foreign culture, the influence of building materials, and the influence of traffic. This paper elaborates the influence mechanism of these four factors on the street form in China. The article finally puts forward the development trend of my country’s future street form, and points out that the evolution of my country’s street form will develop in the direction of intelligence, and intelligent transportation, intelligent garbage classification system, etc. will be applied. The number of brick-and-mortar stores in my country’s street layout may decrease.
大数据与物联网背景下城市街道形态的历史演变研究
随着工业4.0时代的到来,大数据和物联网应运而生。大数据和物联网的兴起对各行各业都产生了影响。大数据和物联网的发展为街道形态的演变提供了契机。随着智慧城市的快速发展,街道形态也越来越朝着智能化的方向变化。本文以成都市春溪路为例,研究了街道形态的生成机制。影响街道形态产生的因素分为两大类:(1)法律因素。(2)建筑设计因素。通过建立模型,定量分析了这两类因素对街道形态的影响。同时,本文对中国古代街道形态的演变进行了深入的研究。中国古代街道形态分为唐宋、元、明、清、清末、新中国成立四个阶段。街道形态的影响因素分为四类,即商品经济的影响、外来文化的影响、建筑材料的影响、交通的影响。本文阐述了这四个因素对中国街道形态的影响机制。文章最后提出了我国未来街道形态的发展趋势,并指出我国街道形态的演变将向智能化方向发展,智能交通、智能垃圾分类系统等将得到应用。我国街道布局中实体店的数量可能会减少。
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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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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