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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...
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Li Geng and Ke Zhang
Urban planners have been long interested in understanding how urban structure and activities are mutually influenced. Human mobility and economic activities naturally drive the formation of road network structure and the accessibility of the latter shape...
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Yang Shen, Changjiang Zheng and Fei Wu
Urban highway tunnels are frequent accident locations, and predicting and analyzing road conditions after accidents to avoid traffic congestion is a key measure for tunnel traffic operation management. In this paper, 200 traffic accident data from the Yi...
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Qi Zhou, Junya Bao and Helin Liu
Understanding urban form is beneficial for planners and designers to improve the built environment. The street network, as an essential element of urban form, has received much attention from existing studies. Recently, an open dataset containing 8910 gl...
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Mahbub Rashid
In several publications between 1998 and 2003, Elizabeth Burton examined whether urban compactness promotes social equity. Based on an extensive literature review, Burton developed numerous urban compactness and social equity measures. Using a sample of ...
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Yaxuan Wang, Zhixin Zeng, Qiushan Li and Yingrui Deng
Urban-safety perception is crucial for urban planning and pedestrian street preference studies. With the development of deep learning and the availability of high-resolution street images, the use of artificial intelligence methods to deal with urban-saf...
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Hamid Mirzahossein, Amir Abbas Rassafi, Zahra Jamali, Robert Guzik, Alessandro Severino and Fabio Arena
Today, automobile dependency constantly causes traffic congestion, delays, reduced access, increased fuel and energy consumption, and environmental emissions. Automobile dependency has caused many direct and indirect transportation problems that may infl...
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Abbas Najmi, Caroline M. Gevaert, Divyani Kohli, Monika Kuffer and Jati Pratomo
Mapping slums is vital for monitoring the Sustainable Development Goal (SDG) indicators. In the absence of reliable data, Remote Sensing (RS)-based approaches, particularly the Deep Learning (DL) methods, have gained recognition and high accuracies for s...
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Nai Yang, Le Jiang, Yi Chao, Yang Li and Pengcheng Liu
The relief degree of land surface (RDLS) was often calculated to describe the topographic features of a region. It is a significant factor in designing urban street networks. However, existing studies do not clarify how RDLS affects the distribution of u...
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Miguel Costa, Manuel Marques and Filipe Moura
Urban street networks impact urban space usage and movement across a city. Circuity, the ratio of network distances to straight-line distances, is considered a critical measurement in urban network morphology and transportation efficiency as it can measu...
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