Smart approaches to waste management for post‐COVID‐19 smart cities in Japan

Abstract

The COVID-19 crisis has had a great impact on Japanese society. The author is rapidly going online and trying to make the transition to a new way of life. This study discusses the topics before and after the COVID-19 pandemic in Japan. Then, smart approaches to waste management for post-COVID-19 smart cities in Japan are described by illustrating the results of the author's research group. Specifically, the author states that virtual reality can be an effective solution for remote education. The work chain management system contributes to the promotion of cashless in addition to the traceability of waste. The multi-benefits mobility system that supports self-driving will contribute to the automatic garbage collection by linking it to smart garbage bins. Besides, remote control of waste incineration facilities and robotic arms in waste treatment and recycling facilities will take on more importance. The author believes that the COVID-19 crisis could be an opportunity to accelerate smart city initiatives in Japan.

Sociological modeling of smart city with the implementation of UN sustainable development goals

“…Many cities have already transformed into “smart” digital/virtual hubs in which the most of services are provided online with limitations of citizen contacts (PricewaterhouseCoopers 2016 ; McClellan et al 2017 ; Smart City Index 2020 ; Smart Cities World City Profiles 2020 ). Smart city approaches have been elaborated to face health care challenges (Islam et al 2015 ; Baker et al 2017 ; Marjani et al 2017 ; Cook et al 2018 ; Allen et al 2019 ; Akyildiz et al 2020 ) and to resist pandemic outbreak expansion with accents on data (Costa and Peixoto 2020 ; Webb and Toh 2020 ), social distancing (Cecilia et al 2020 ; Nguyen et al 2020a , b ), Internet of Things (IoT) and Artificial Intelligence (AI) (Chamola et al 2020 ; Tropea and De Rango 2020 ), smart health care devices (Jaiswal et al 2020 ), and waste management (Onoda 2020 ). Data governance and digital services ensure city life safe without an economy lockout and unemployment.…”

The Effects of Subsidies on MSW Treatment Companies: Financial Performance and Policy Implications

“…The social perspective relates to aspects of living standards and low socio-ecological awareness, the complexity of communication and consequent inadequate assessment of stakeholders regarding the adoption of technologies [40][41][42][43]. There are also policy and regulatory issues related to the lack of capacity of local governments, lack of norms, policies and guidelines, lack of transparency and reliability [44,45]. In environmental terms, there is the issue of inappropriate waste disposal, the concern of incinerators emitting toxic substances and the inherent risk of affecting the ecosystem [44,46,47] and the issue of infrastructure and energy consumption, which are mainly related to the fact that conventional sources are non-renewable and imply high energy consumption [42,[48][49][50].…”

The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective

“…The traceability system detects the causes of quality and safety problems by determining their origin and characteristics from the upstream supply chain. The traceability system is for data information on food cold chains during the Covid-19 pandemic T 1 Able trace along the supply chain during the Covid-19 pandemic (Joshi et al, 2011;Onoda, 2020) T 2 Highly detailed data tracing results (including information related to transactions, locations, product conditions, production stages, and transportation) during the Covid-19 pandemic (Sahin, Dallery, & Gershwin, 2002;Joshi et al, 2011;Onoda, 2020) (Masudin et al, 2018) MI 2 Consumption of food cold products encourages producers to trace products along the food coldchain during the Covid-19 pandemic (Masudin et al, 2018) questions comprehensively. The sample data's tendency is seen from the mean value of each indicator and variable.…”

“…Degree of automation in item identification and data collection along the supply chain during the Covid-19 pandemic(Joshi et al, 2011;Onoda, 2020;Sahin et al, 2002) …”