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Rempu Sora Rayat, Adenantera Dwicaksono, Heru P. H. Putro and Puspita Dirgahayani
This paper presents methods of retrieving Twitter data, both streaming and archive data, using Application Programming Interfaces. Twitter data are a kind of Location Based Social Network Data that, nowadays, is emerging in transportation demand modeling...
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Lingbo Liu, Ru Wang, Weihe Wendy Guan, Shuming Bao, Hanchen Yu, Xiaokang Fu and Hongqiang Liu
Understanding the space-time dynamics of human activities is essential in studying human security issues such as climate change impacts, pandemic spreading, or urban sustainability. Geotagged social media posts provide an open and space-time continuous d...
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Natalia Sypion-Dutkowska, Minxuan Lan, Marek Dutkowski and Victoria Williams
The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighbor...
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Tarek Elsaka, Imad Afyouni, Ibrahim Hashem and Zaher Al Aghbari
Since the recent outbreak of COVID-19, many scientists have started working on distinct challenges related to mining the available large datasets from social media as an effective asset to understand people?s responses to the pandemic. This study present...
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Amir Karami, Rachana Redd Kadari, Lekha Panati, Siva Prasad Nooli, Harshini Bheemreddy and Parisa Bozorgi
Twitter?s APIs are now the main data source for social media researchers. A large number of studies have utilized Twitter data for diverse research interests. Twitter users can share their precise real-time location, and Twitter APIs can provide this inf...
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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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Shanshan Han, Cuiming Liu, Keyun Chen, Dawei Gui and Qingyun Du
The rapid development of social media data, including geotagged photos, has benefited the research of tourism geography; additionally, tourists? increasing demand for personalized travel has encouraged more researchers to pay attention to tourism recomme...
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Youngok Kang, Nahye Cho, Jiyoung Yoon, Soyeon Park and Jiyeon Kim
Recently, as computer vision and image processing technologies have rapidly advanced in the artificial intelligence (AI) field, deep learning technologies have been applied in the field of urban and regional study through transfer learning. In the touris...
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Wei Jiang, Yandong Wang, Zhengan Xiong, Xiaoqing Song, Yi Long and Weidong Cao
The development of location-based services facilitates the use of location data for detecting urban events. Currently, most studies based on location data model the pattern of an urban dynamic and then extract the anomalies, which deviate significantly f...
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Yuqin Jiang, Xiao Huang and Zhenlong Li
The novel coronavirus disease (COVID-19) pandemic has impacted every facet of society. One of the non-pharmacological measures to contain the COVID-19 infection is social distancing. Federal, state, and local governments have placed multiple executive or...
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