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Xin Xiao, Chaoyang Fang and Hui Lin
?A picture is worth a thousand words?. Analysis of the visual content of tourist photos is an effective way to explore the image of tourist destinations. With the development of computer deep learning and big data mining technology, identifying the conte...
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Chenxi Liu, Zhenghong Peng, Lingbo Liu and Hao Wu
Amid the global shift towards sustainable development, this study addresses the burgeoning electric vehicle (EV) market and its infrastructure challenges, particularly the lag in public charging facility development. Focusing on Wuhan, it utilizes big da...
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Jiusheng Du, Chengyang Meng and Xingwang Liu
This study utilizes taxi trajectory data to uncover urban residents? travel patterns, offering critical insights into the spatial and temporal dynamics of urban mobility. A fusion clustering algorithm is introduced, enhancing the clustering accuracy of t...
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Endra Joelianto, Muhammad Farhan Fathurrahman, Herman Yoseph Sutarto, Ivana Semanjski, Adiyana Putri and Sidharta Gautama
The increase in traffic in cities world-wide has led to a need for better traffic management systems in urban networks. Despite the advances in technology for traffic data collection, the collected data are still suffering from significant issues, such a...
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Wei Jiang, Zhengan Xiong, Qin Su, Yi Long, Xiaoqing Song and Peng Sun
Understanding sentiment changes in tourist flow is critical in designing exciting experiences for tourists and promoting sustainable tourism development. This paper proposes a novel analytical framework to investigate the tourist sentiment changes betwee...
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Fan Zhang, Xin Peng, Liang Huang, Man Zhu, Yuanqiao Wen and Haitao Zheng
In this study, a method for dynamically establishing ship domain in inland waters is proposed to help make decisions about ship collision avoidance. The surrounding waters of the target ship are divided to grids and then calculating the grid densities of...
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Luling Cheng, Xue Yang, Luliang Tang, Qian Duan, Zihan Kan, Xia Zhang and Xinyue Ye
In taxi management, taxi-driver shift behaviors play a key role in arranging the operation of taxis, which affect the balance between the demand and supply of taxis and the parking spaces. At the same time, these behaviors influence the daily travel of c...
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Muhammad Rizwan, Wanggen Wan and Luc Gwiazdzinski
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Kai Liu
The metropolitan area can be regarded as a multi-functional structure consisting of plural coordinated urban nucleuses. This study aims to clarify the characteristics of urban nucleuses and a spatiotemporal pattern of human mobility in the Manila metropo...
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Kai Liu
The metropolitan area can be regarded as a multi-functional structure consisting of plural coordinated urban nucleuses. This study aims to clarify the characteristics of urban nucleuses and a spatiotemporal pattern of human mobility in the Manila metropo...
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Feng Wang, Wenwen Li, Sizhe Wang and Chris R. Johnson
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Tao Zhang, Qi Liao, Lei Shi and Weishan Dong
As we move into the big data era, data grows not just in size, but also in complexity, containing a rich set of attributes, including location and time information, such as data from mobile devices (e.g., smart phones), natural disasters (e.g., earthquak...
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Rui Xin, Linfang Ding, Bo Ai, Min Yang, Ruoxin Zhu, Bin Cao and Liqiu Meng
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limi...
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of geodata with high spatial and temporal resolution is increasing steadily. Often, these data are continuously generated by distributed sensor networks and provided as geodata streams. Geostatistical analysis methods, such as spatiotemp...
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Zhihui Tian, Yi Liu, Yongji Wang and Lili Wu
With the development of tourism and the change in urban functions, the analysis of the spatial pattern of urban tourist flows has become increasingly important. Existing studies have explored and analyzed tourist behavior well, using the appropriate digi...
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Xu Zhang, Chao Song, Chengwu Wang, Yili Yang, Zhoupeng Ren, Mingyu Xie, Zhangying Tang and Honghu Tang
Understanding geospatial impacts of multi-sourced drivers on the tourism industry is of great significance for formulating tourism development policies tailored to regional-specific needs. To date, no research in China has explored the combined impacts o...
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Ima Ituen and Baoxin Hu
Mapping and understanding the differences in land cover and land use over time is an essential component of decision-making in sectors such as resource management, urban planning, and forest fire management, as well as in tracking of the impacts of clima...
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Naimat Ullah Khan, Wanggen Wan and Shui Yu
The aim of this study is to analyze and compare the patterns of behavior of tourists and residents from Location-Based Social Network (LBSN) data in Shanghai, China using various spatiotemporal analysis techniques at different venue categories. The paper...
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Ziyao Xing, Xiaohui Su, Junming Liu, Wei Su and Xiaodong Zhang
Information from social media microblogging has been applied to management of emergency situations following disasters. In particular, such blogs contain much information about the public perception of disasters. However, the effective collection and use...
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Anna Kovacs-Györi, Alina Ristea, Ronald Kolcsar, Bernd Resch, Alessandro Crivellari and Thomas Blaschke
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