Evolution prediction of unconventional emergencies via neural network: An empirical study of megacities

Working in the Metaverse: Does Telework in a Metaverse Office Have the Potential to Reduce Population Pressure in Megacities? Evidence from Young Adults in Seoul, South Korea

“…As populations move from rural to urban areas, the number of megacities is increasing [3]. Although living in a megacity, where opportunities are centralized, provides individuals with access to better labor markets, education, and services, megacities face challenges related to human health [4,5], crime and safety [6,7], traffic congestion [8][9][10], emergency response [11,12], and environmental pollution [4,[13][14][15]. Accordingly, governments have tried to address these problems by reducing population pressure in megacities [16] and improving urban sustainability [17][18][19].…”

Exploring the effects of congestion charge on relocation decisions under non-capital functions relieving strategy in Beijing

“…However, during the steady stage, resources constrain additional growth, and many problems arise. Increased traffic congestion (Li, Ma, Cheng, van Genderen, & Shao, 2019;Wen et al, 2020;Zhao & Hu, 2019), environmental pollution (Calderón-Garcidueñas, Kulesza, Doty, D 'Angiulli, & Torres-Jardón, 2015;Jain, Aggarwal, Sharma, & Kumar, 2016;Taksibi, Khajehpour, & Saboohi, 2020), freight distribution (Kin, Verlinde, & Macharis, 2017;Ros-McDonnell, de-la-Fuente-Aragón, Ros-McDonnell, & Cardós, 2018;Vieira, Fransoo, & Carvalho, 2015), health and safety (Ardalan, Rad, & Hadi, 2019;Najmeddin, Keshavarzi, Moore, & Lahijanzadeh, 2018;Qiao, Zheng, & Zhu, 2011), emergency response services (Chen, Zhou, Ma, & Chen, 2019;Hasnat, Islam, & Hadiuzzaman, 2018) and increased prices (Chiang, 2016, Alam, 2018 are some of the many problems that occur in over-congested cities. The world metropolises such as Tokyo, Seoul, and New York have already faced this problem in the twentieth century and have successfully eased population pressure by various policy measures, which have been observed by Beijing (Bae, 2013;Bai, 2002;Ward & Zunz, 1997).…”

Rapid Generation of Emergency Response Plans for Unconventional Emergencies

“…In order to capture the key factors driving the evolution of unconventional emergency events and the interaction between the factors, Zhou et al [2] made a detailed analysis on the evolution processes of 102 unconventional emergencies occurred in 38 megacities. Chen et al [5] studies the evolution prediction problem of unconventional emergencies using multi-label machine learning. Since the management of unconventional emergencies generally involves group decision making in which multiple experts may express diverse opinions, Xu et al [6] proposed a conflict-eliminating model to decrease the conflict degree of experts and reinforce the group decision.…”

“…Domain knowledge has been recognized as an important resource in unconventional emergency decision systems and various ontology knowledge bases for unconventional emergencies have been proposed [7], [8]. In general, most existing work aims to propose theoretical methodologies to tackle particular challenges in the unconventional emergency response process such as evolutionary phenomena of events [2], [5] and conflicts existing among decision-makers [6], [9], [10]. The results achieved, while beneficial to assist decision-making of unconventional emergency response, do not necessarily result in a complete ERP because much more comprehensive information about handling an unconventional emergency should be included in ERPs.…”