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Guiming Zhang and Jin Xu
Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges. The e...
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Pedro Nogueira, Marcelo Silva, Paulo Infante, Vitor Nogueira, Paulo Manuel, Anabela Afonso, Gonçalo Jacinto, Leonor Rego, Paulo Quaresma, José Saias, Daniel Santos and Patricia Gois
Road traffic accidents are a major concern for modern society with a high toll on human life and involve hard to account economic consequences. New knowledge can be obtained from combining GIS tools with machine learning and artificial intelligence, deve...
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Seok-Ho Han, Husna Mutahira and Hoon-Seok Jang
Ensuring food security has become of paramount importance due to the rising global population. In particular, the agriculture sector in South Korea faces several challenges such as an aging farming population and a decline in the labor force. These issue...
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Yang Zhang, Yujia Zhai, Jihong Chen, Qingjun Xu, Shanshan Fu and Huizhen Wang
Shipping, as an important part of the global supply chain, has always been quite sensitive to maritime accidents. Fatality and injury are important metrics indicating an accident?s severity. Understanding the driving factors of fatality and injury outcom...
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Zhangcai Yin, Kuan Huang, Shen Ying, Wei Huang and Ziqiang Kang
Time geography considers that the probability of moving objects distributed in an accessible transportation network is not always uniform, and therefore the probability density function applied to quantitative time geography analysis needs to consider th...
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Hongbo He, Huping Ye, Chenchen Xu and Xiaohan Liao
Urban logistics is an important research topic in human and economic geography; unmanned aerial vehicles (UAVs) are an emerging technology that has huge potential in the field of logistics with the release of control restrictions on low-altitude airspace...
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Long Chen, Antoni B. Moore and Sandra Mandic
Active transport to school (ATS) is a convenient way for adolescents to reach their recommended daily physical activity levels. Most previous ATS research examined the factors that promote or hinder ATS, but this research has been of a global (i.e., non-...
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Qi Liu, Hidayat Ullah, Wanggen Wan, Zhangyou Peng, Li Hou, Tong Qu and Saqib Ali Haidery
Green areas or parks are the best way to encourage people to take part in physical exercise. Traditional techniques of researching the attractiveness of green parks, such as surveys and questionnaires, are naturally time consuming and expensive, with les...
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Jeong-Seok Lee, Woo-Ju Son, Hyeong-Tak Lee and Ik-Soon Cho
A maritime route is used by sea transportation vessels to access the trading ports, and route design standards for the safety of maritime traffic have been established in various countries and organizations. However, no quantitative safety verification m...
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Matthias Steidel, Jan Mentjes and Axel Hahn
Research in the field of maritime anomaly detection and vessel behavior prediction primarily focuses on developing methods for extracting typical vessel movement patterns from historical traffic data. However, contextual information is currently not cons...
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Jiping Liu, Zhiran Zhang, Chunyang Liu, Agen Qiu and Fuhao Zhang
With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs. In addition to user preference and socia...
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Yuying Lin, Xisheng Hu, Mingshui Lin, Rongzu Qiu, Jinguo Lin and Baoyin Li
An in-depth analysis of urban road network distribution plays a critical role in understanding the urbanization process. However, effective ways to quantitatively analyze the spatial paradigms of road networks are still lacking, and few studies have util...
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Jing Yang, Jie Zhu, Yizhong Sun and Jianhua Zhao
An urban, commercial central district is often regarded as the heart of a city. Therefore, quantitative research on commercial central districts plays an important role when studying the development and evaluation of urban spatial layouts. However, conve...
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Sanghyun Seo and Juntae Kim
Convolutional neural networks (CNN) have achieved excellent results in the field of image recognition that classifies objects in images. A typical CNN consists of a deep architecture that uses a large number of weights and layers to achieve high performa...
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Min Cao, Shangjing Ma, Mengxue Huang, Guonian Lü and Min Chen
As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certa...
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Filipe J. S. Brandão, Ricardo M. Correia and Alexandra Paio
In the cities of post-industrialized countries, renovation is the main part of building construction activity and has a major urban impact. Measuring this ongoing phenomenon and its distribution is of great usefulness for municipality urban planning and ...
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Shang-Yuan Chen, Tzu-Tien Chen
Pág. 146 - 156
Since dockless sharing bicycles have become an indispensable means of everyday life for urban residents, how to effectively control the supply and demand balance of bikes has become an important issue. This study aims to apply Kernel Density Estimation b...
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Shang-Yuan Chen, Tzu-Tien Chen
Pág. 146 - 156
Since dockless sharing bicycles have become an indispensable means of everyday life for urban residents, how to effectively control the supply and demand balance of bikes has become an important issue. This study aims to apply Kernel Density Estimation b...
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Boxi Shen, Xiang Xu, Jun Li, Antonio Plaza and Qunying Huang
Taxi mobility data plays an important role in understanding urban mobility in the context of urban traffic. Specifically, the taxi is an important part of urban transportation, and taxi trips reflect human behaviors and mobility patterns, allowing us to ...
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Zengli Wang, Lin Liu, Hanlin Zhou and Minxuan Lan
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