scholarly journals THE RELATIONSHIP BETWEEN URBAN SPATIAL STRUCTURE & COMMUTING PATTERNS: LITERATURE REVIEW

2021 ◽  
Vol 0 (0) ◽  
pp. 662-678
Author(s):  
Islam Abouelhamd
2019 ◽  
Vol 35 (1) ◽  
pp. 6-24 ◽  
Author(s):  
Lingqian Hu ◽  
Jiawen Yang ◽  
Tianren Yang ◽  
Yuanjie Tu ◽  
Jing Zhu

This article first provides a critical scoping review of empirical literature on the relationship between urban structure and travel in China. The review finds that residential suburbanization alone increases travel, polycentric development has mixed effects, and jobs–housing balance reduces travel. Second, this article compares the empirical findings of the urban structure–travel relationships in China with those observed in other countries, and it identifies contextual factors that can explain the differing relationships in China. We suggest that future research improve data and methodology and broaden the research scope to investigate the complex mechanisms that affect the urban structure–travel relationship in China.


2013 ◽  
Vol 361-363 ◽  
pp. 115-118
Author(s):  
Huan Yang ◽  
Pei Zhang

The reasonable structure of urban_ rural space is an important way to achieve the integration of urban and rural areas, so this paper researched the space model of urban and rural areas ,aiming to find the suitable spatial structure in sparsely populated areas .First, the paper expounded the concept of the rural and urban spatial structure , studied the relationship between urban_rural areas and its development stages, based on this, this paper used the induce deduction, experience learning and case analysis methods to construct the spatial patterns of urban _rural integration in sparsely populated areas, and finally taking ETuoKeQianQi for example to demonstrate this model.


2014 ◽  
Vol 641-642 ◽  
pp. 736-740
Author(s):  
Zheng Liang Zhu

At present, rail transit in China is booming. At the same time, some big cities are undergoing a crucial stage of adjustment of urban spatial structure. Therefore, it is significant to study the relationship between the development of rail transit and the evolution of urban spatial structure. This paper reviews the development of Guangzhou rail transit and the evolution of Guangzhou urban spatial structure, and discusses the relationship between them. The conclusion is that there is interactive relationship between the development of rail transit and the evolution of urban spatial structure, and the construction and planning of rail transit should coordinate with the current condition and future planning of urban spatial structure. During network planning, the focus should not only be placed on the rail transit project itself, but the construction of a scientific and reasonable urban spatial structure, so that rail transit can contribute to sustainable urban development.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hongwei Jing ◽  
Xiaoming Li ◽  
Guangquan Xu ◽  
Mengli Zhu ◽  
Li Shen ◽  
...  

With the rapid development of society, the traffic problem has become increasingly severe, and the traditional methods can no longer effectively solve the current social traffic behaviour problems. Although studies on the dynamics of human traffic behaviour based on traffic modes can effectively reveal the anomalies in traffic behaviour, few studies integrate intelligent traffic behaviour with multiple traffic modes. Based on the numerous traffic data of bike-sharing and ride-hailing in a Chinese city, this paper reveals the dynamic characteristics of various traffic behaviours in the city by combining spatiotemporal characteristics index and urban spatial structure with human traffic behaviour patterns. The experimental results show that the traffic behaviour of the town presents a double logarithmic power-law distribution in time characteristics, and there is a close interdependent dynamic relationship with the city’s spatial structure. The research in this paper can reveal the relationship between bimodal power-law distribution and spatial characteristics in complex systems and help solve social traffic problems effectively in social reality. Further research results can provide practical planning guidance for the behavioural integration of multiple traffic in smart cities.


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