scholarly journals Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19

Author(s):  
Mahdi Jemmali

AbstractAchieving community immunity against the coronavirus disease 2019 (COVID-19) depends on vaccinating the largest number of people within a specific period while taking all precautionary measures. To address this problem, this paper presents a smart parking system that will help the health crisis management committee to vaccinate the largest number of people with the minimum period of time while ensuring that all precautionary measures are followed, through a set of algorithms. These algorithms seek to ensure a uniform distribution of persons in parking. This paper proposes a novel complex system for smart parking and nine algorithms to address the NP-hard problem. The experimental results demonstrate the performance of the proposed algorithms in terms of gap and time. Applying these algorithms to smart cities to ensure precautionary measures against COVID-19 can help fight against this pandemic.

2021 ◽  
Vol 13 (11) ◽  
pp. 6486
Author(s):  
Christina Kakderi ◽  
Eleni Oikonomaki ◽  
Ilektra Papadaki

The COVID-19 pandemic has put lifestyles in question, changed daily routines, and limited citizen freedoms that seemed inalienable before. A human activity that has been greatly affected since the beginning of the health crisis is mobility. Focusing on mobility, we aim to discuss the transformational impact that the pandemic brought to this specific urban domain, especially with regards to the promotion of sustainability, the smart growth agenda, and the acceleration towards the smart city paradigm. We collect 60 initial policy responses related to urban mobility from cities around the world and analyze them based on the challenge they aim to address, the exact principles of smart growth and sustainable mobility that they encapsulate, as well as the level of ICT penetration. Our findings suggest that emerging strategies, although mainly temporary, are transformational, in line with the principles of smart growth and sustainable development. Most policy responses adopted during the first months of the pandemic, however, fail to leverage advancements made in the field of smart cities, and to adopt off-the-shelf solutions such as monitoring, alerting, and operations management.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arosha S. Adikaram ◽  
N.P.G.S.I. Naotunna ◽  
H.P.R. Priyankara

PurposeThis paper aims to present an empirically driven crisis management framework of complementary human resource management (HRM) bundles that can be utilized in simultaneously managing the health crisis, financial crisis and disruptions to business operations through lockdown and other government restrictions propelled by the COVID-19 pandemic.Design/methodology/approachThe framework is developed employing qualitative methodology, drawing from the successful HRM practices adopted by 26 Sri Lankan companies in battling the many crises of COVID-19 and using the soft HRM approach as the theoretical basis.FindingsThe findings report a framework that consists of three key HRM bundles (health and safety bundle, cost-saving bundle and employee motivation and engagement bundle) entailing an array of inter-related, internally consistent, complementary and mutually reinforcing HRM practices and HRM activities. These HRM bundles and the HRM practices as well as the HRM activities therein, indicate how a softer approach to managing employees can be used during a crisis.Practical implicationsThe framework will inform the HRPs of the HRM bundles, HRM practices and HRM activities that can be used to manage the multiple crises created by COVID-19 and other similar pandemics.Originality/valueThe study contributes to and expands the knowledge of HRM in crisis management generally and HRM in a global pandemic more specifically.


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2507 ◽  
Author(s):  
Francisco Ramos ◽  
Sergio Trilles ◽  
Andrés Muñoz ◽  
Joaquín Huerta

Nowadays, citizens have a huge concern about the quality of life in their cities, especially regarding the level of pollution. Air quality level is of great importance, not only to plan our activities but also to take precautionary measures for our health. All levels of governments are concerned about it and have built their indexes to measure the air quality level in their countries, regions or cities. Taking into account the existing sensor infrastructure within smart cities, it makes possible to evaluate these indices and to know anywhere the level of pollution in real-time. In this scenario, the main objective of the current work is to foster citizens’ awareness about pollution by offering pollution-free routes. To achieve this goal, a technology-agnostic methodology is presented, which allows for creating pollution-free routes across cities depending on the level of pollution in each zone. The current work includes an extensive study of existing air quality indices, and proposes and carries forward to deployment of the defined methodology in a big city, such as Madrid (Spain).


Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1476 ◽  
Author(s):  
Luis F. Luque-Vega ◽  
David A. Michel-Torres ◽  
Emmanuel Lopez-Neri ◽  
Miriam A. Carlos-Mancilla ◽  
Luis E. González-Jiménez

Humanity is currently experiencing one of the short periods of transition thanks to novel sensing solutions for smart cities that bring the future to today. Overpopulation of cities demands the development of solid strategic plannings that uses infrastructure, innovation, and technology to adapt to rapid changes. To improve mobility in cities with a larger and larger vehicle fleet, a novel sensing solution that is the cornerstone of a smart parking system, the smart vehicular presence sensor (SPIN-V, in its Spanish abbreviation), is presented. The SPIN-V is composed of a small single-board computer, distance sensor, camera, LED indicator, buzzer, and battery and devoted to obtain the status of a parking space. This smart mobility project involves three main elements, namely the SPIN-V, a mobile application, and a monitoring center, working together to monitor, control, process, and display the parking space information in real-time to the drivers. In addition, the design and implementation of the three elements of the complete architecture are presented.


Author(s):  
Ziheng Shangguan ◽  
Mark Yaolin Wang ◽  
Wen Sun

Since the first known case of a COVID-19 infected patient in Wuhan, China on 8 December 2019, COVID-19 has spread to more than 200 countries, causing a worldwide public health crisis. The existing literature fails to examine what caused this sudden outbreak from a crisis management perspective. This article attempts to fill this research gap through analysis of big data, officially released information and other social media sources to understand the root cause of the crisis as it relates to China’s current management system and public health policy. The article draws the following conclusions: firstly, strict government control over information was the main reason for the early silencing of media announcements, which directly caused most people to be unprepared and unaware of COVID-19. Secondly, a choice between addressing a virus with an unknown magnitude and nature, and mitigating known public panic during a politically and culturally sensitive time, lead to falsehood and concealment. Thirdly, the weak autonomous management power of local public health management departments is not conducive for providing a timely response to the crisis. Finally, the privatization of many state-owned hospitals led to the unavailability of public health medical resources to serve affected patients in the Wuhan and Hubei Province. This article suggests that China should adopt a Singaporean-style public health crisis information management system to ensure information disclosure and information symmetry and should use it to monitor public health crises in real time. In addition, the central government should adopt the territorial administration model of a public health crisis and increase investment in public health in China.


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