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Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving...
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Yue Cheng, Jiayin Chen, Jiajia Tang, Wenbo Xu, Dong Lv and Xuan Xiao
Within the rapidly growing urban tourism industry, the development of urban landscapes plays a crucial role in shaping a city?s image and competitiveness; however, standardized and mismatched landscapes often have a negative impact, highlighting the impo...
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Wahhaj Ahmed, Baqer Al-Ramadan, Muhammad Asif and Zulfikar Adamu
Energy and environmental challenges are a major concern across the world and the urban residential building sector, being one of the main stakeholders in energy consumption and greenhouse gas emissions, needs to be more energy efficient and reduce carbon...
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Sevim Sezi Karayazi, Gamze Dane and Theo Arentze
Understanding visitors? spatial choice behavior is important in developing effective policies to counteract overcrowdedness in attractive urban heritage areas. This research presents a comprehensive analysis of visitor location choice behavior, aiming to...
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Hui Zhang, Yu Cui, Yanjun Liu, Jianmin Jia, Baiying Shi and Xiaohua Yu
Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS?metro trips. Then, DBS trip data, m...
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