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Clara Eslava Cabanellas, Ula Iruretagoiena Busturia, Ahinitze Errasti Etxeberria
Pág. 35 - 62
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Linpei Zhai and Jae Eun Lee
This study aimed to explore the differences in various aspects of community disaster resilience and how to enhance disaster resilience tailored to different community types. The evaluation results were validated using the flood event that occurred in Zhe...
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Jose Luis Vieira Sobrinho, Flavio Henrique Teles Vieira and Alisson Assis Cardoso
The high dimensionality of real-life datasets is one of the biggest challenges in the machine learning field. Due to the increased need for computational resources, the higher the dimension of the input data is, the more difficult the learning task will ...
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Jiangyue Wu, Jiangping Zhou
Pág. 437 - 468
Considered a total social phenomenon, mobility is at the center of intricate social dynamics in cities and serves as a reading lens to understand the whole society. With the advent of big data, the potential for using mobility as a key social analyzer wa...
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Yan Zhou, Kaixuan Zhou and Shuaixian Chen
The rapid development of big data technology and mobile intelligent devices has led to the development of location-based social networks (LBSNs). To understand users? behavioral patterns and improve the accuracy of location-based services, point-of-inter...
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Hisham Abusaada and Abeer Elshater
This study argues that Vision 2030 and social housing should consider the elements of the sociocultural dimension of urban design (SDUD) to alleviate urban poverty-induced feelings. By examining public spaces in the context of Vision 2030 and the impleme...
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Wen Cao, Wenhao Liu, Xiaochong Tong, Jianfei Wang, Feilin Peng, Yuzhen Tian and Jingwen Zhu
To understand the complex phenomena in social space and monitor the dynamic changes in people?s tracks, we need more cross-scale data. However, when we retrieve data, we often ignore the impact of multi-scale, resulting in incomplete results. To solve th...
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Zavi?a ?imac, Nina Loncar and Sanja Faivre
Coastal areas are dynamic and complex systems exposed to waves, high tides, and storm surges. Often, these areas are densely populated and have essential socio-economic values for the region and country. Any changes or disruptions can cause a tremendous ...
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Azza Alajlan and Malak Baslyman
Digital health transformation (DHT) has been deployed rapidly worldwide, and many e-health solutions are being invented and improved on an accelerating basis. Healthcare already faces many challenges in terms of reducing costs and allocating resources op...
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Fang Wang, Jingyi Mao, Yafu Liu and Qihua Cai
The livelihood capital of rural households is an essential basis for their selection of livelihood strategy. This paper uses rural household data from the 2018 CFPS to construct a ?hexagonal? framework for the analysis of livelihood capital. Natural capi...
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