<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

The COVID-19 outbreak has impacted urban transportation mobility throughout the world. In this paper, we investigate the impact of COVID-19 on the urban mobility network’s structural characteristics. We contribute to the literature by discussing how various community areas in the city traffic network are impacted by the pandemic. We analyze a large dataset on urban mobility from the city of Chicago and derive various insights. Our analysis of the mobility network structure is important because a better understanding of such networks can help control the spread of the disease by reducing interactions among individuals. We find that the pandemic significantly impacted the structure of the mobility network of taxis in Chicago. Our study reveals some important pointers for policymakers that could potentially aid in developing urban transportation policies during the pandemic. © 2022 Mukherjee, Jain. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

World University root node

Decision Sciences, Operations Management, and Information Systems

(SME) School of Management and Entrepreneurship

Fulltext

PLoS ONE

Impact of COVID-19 on the mobility patterns: An investigation of taxi trips in Chicago

Negative ties and gender (as a contextual variable) have remained under-studied in the social networks research in management. Drawing on occupational gender-typing theory, the paper hypothesizes that the relationship between indegree centrality of employees in a positive ties-based network and their tendency to cite their colleagues in negative ties differs in a feminine and a masculine occupation. Using network data from two organizations in India, the paper shows that in a feminine occupation (nursing), the higher the indegree centrality of the employees in a positive ties-based network, the less likely are they to cite negative ties whereas, in a masculine occupation (mining), the higher the indegree centrality of the employees in a positive ties-based network, more likely are they to cite negative ties. We make a theoretical contribution by extending the occupational gender-typing theory in social networks research by theorizing and examining the distinctive effects of the context – feminine and masculine occupations – on networks and work relations. We also discuss the managerial implications of the study. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.