Relevant bibliographies by topics / Crowd Management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Crowd Management'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Crowd Management"

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Hassanein, Hossam, Nizar Zorba, Shuai Han, Salil S. Kanhere, and Mutaz Shukair. "Crowd Management." IEEE Communications Magazine 57, no. 4 (April 2019): 18–19. http://dx.doi.org/10.1109/mcom.2019.8703458.

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Malhotra, Arvind, and Ann Majchrzak. "Greater associative knowledge variety in crowdsourcing platforms leads to generation of novel solutions by crowds." Journal of Knowledge Management 23, no. 8 (October 14, 2019): 1628–51. http://dx.doi.org/10.1108/jkm-02-2019-0094.

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Purpose The purpose of this study is to offer implications and future research directions related to new organizational forms like crowds. Organizations are increasingly relying on online crowds to innovate through mechanisms such as crowdsourcing, open innovation, innovation challenges and tournaments. To leverage the "wisdom of crowds", crowdsourcing platforms that enable heterogeneous knowledge sharing in crowds lead to novel solution generation by individuals in the crowd. Based on the associative variety memory model of creativity, the authors hypothesize that when a crowd contributes a heterogeneous knowledge in form of a variety of knowledge associations, individual crowd members tend to generate solutions that are more novel. In contrast to the brainstorming view that focuses on ideas as knowledge, the authors propose, test, find and elaborate on implications of crowd sharing of heterogeneous knowledge for the generation of innovation, i.e. novel ideas. The authors coded and analyzed all the posts in 20 innovation challenges leveraging online temporary crowds that were structured to foster knowledge sharing as part of the idea generation process. The analysis shows a positive relationship between the variety of knowledge associations contributed by the crowd and the generation of novel solutions by individuals in the crowd. Further, the variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared. The authors offer four implications and several future directions for research on the new organizational form of online crowds. Design/methodology/approach The authors coded and analyzed all the posts in 20 innovation challenges. They also designed and ran these challenges in collaboration with corporate sponsors. The ideas in the challenge were rated by senior executive at each company using a creative forecasting method. Findings The variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared. Research limitations/implications The authors offer four implications and several future directions for research on the new organizational form of online crowds. Practical implications The authors propose several ways in which companies running innovation challenges can moderate and encourage crowd to generate a variety of knowledge. Originality/value The authors believe that we are the first empirical paper to emphasize and show that associative variety of knowledge sharing in crowds has impact on novel idea generation by crowds. This view is counter to "electronic brainstorming" view where crowd is asked to just generate these ideas and often just submit their ideas to the sponsor. Their view also goes beyond knowledge refinement of ideas by crowds to more of knowledge integration by crowds.
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Premnath, Devi, and Dr C. Nateson Dr. C.Nateson. "Crowd Sourcing A New Management Mantra." Indian Journal of Applied Research 1, no. 5 (October 1, 2011): 136–37. http://dx.doi.org/10.15373/2249555x/feb2012/51.

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Templeton, Anne, John Drury, and Andrew Philippides. "Walking together: behavioural signatures of psychological crowds." Royal Society Open Science 5, no. 7 (July 2018): 180172. http://dx.doi.org/10.1098/rsos.180172.

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Research in crowd psychology has demonstrated key differences between the behaviour of physical crowds where members are in the same place at the same time, and the collective behaviour of psychological crowds where the entire crowd perceive themselves to be part of the same group through a shared social identity. As yet, no research has investigated the behavioural effects that a shared social identity has on crowd movement at a pedestrian level. To investigate the direction and extent to which social identity influences the movement of crowds, 280 trajectories were tracked as participants walked in one of two conditions: (1) a psychological crowd primed to share a social identity; (2) a naturally occurring physical crowd. Behaviour was compared both within and between the conditions. In comparison to the physical crowd, members of the psychological crowd (i) walked slower, (ii) walked further, and (iii) maintained closer proximity. In addition, pedestrians who had to manoeuvre around the psychological crowd behaved differently to pedestrians who had to manoeuvre past the naturally occurring crowd. We conclude that the behavioural differences between physical and psychological crowds must be taken into account when considering crowd behaviour in event safety management and computer models of crowds.
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Thawait, Shiwangi, Akshat Tiwari, Namita Sharma, Babita Bhandari, and Rakesh Patel. "Role of IoT in Crowd Management using Bidirectional Attendance Counter." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 6509–11. http://dx.doi.org/10.22214/ijraset.2023.53265.

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Abstract: Crowd management is one of the most challenging tasks in public spaces like airports, train stations, and stadiums. The advent of the Internet of Things (IoT) has made it possible to automate the crowd management process. Bidirectional attendance counters are IoT devices that can help monitor the number of people entering and leaving a specific location. This paper discusses the role of IoT in crowd management using bidirectional attendance counters. The paper explains the design and working of the bidirectional attendance counter and how it can be used to manage crowds in public spaces.
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Polyakova, Yu M. "Human Resource Management Based on Modern Crowd Technologies: Crowd Staffing, Crowd Recruiting and Crowd Training." Scientific Research of Faculty of Economics. Electronic Journal 12, no. 3 (September 28, 2020): 16–30. http://dx.doi.org/10.38050/2078-3809-2020-12-3-16-30.

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The rapidly changing conditions of the struggle for talented personnel in the context of mass digitalization require a revision of the methods of personnel management in modern organizations. The aim of the study is to determine the role of crowd-technologies in increasing the efficiency of search, selection and development of personnel in Russian organizations, as well as to develop a system of criteria and indicators for assessing the effectiveness of this type technologies. The scientific works of domestic and foreign scientists, reports of international organizations, the Ministry of Economic Development of the Russian Federation, companies specializing in crowd-technologies were studied. The work used the methods of induction, comparative analysis, benchmarking of the best foreign and Russian practices of using crow- technologies in the field of HR-management and the method of conceptual and methodological modeling. The research conducted by the author made it possible to identify the socio-economic effects of the use of crowd staffing and crowd recruiting in the field of personnel search and selection, crowd training as a method of training employees, and also to propose a number of criteria and indicators for assessing the effectiveness of using these technologies in order to make effective decisions by management personnel.
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Zhou, Hui, Zhihao Zheng, Xuekai Cen, Zhiren Huang, and Pu Wang. "A Data-Driven Urban Metro Management Approach for Crowd Density Control." Journal of Advanced Transportation 2021 (March 30, 2021): 1–14. http://dx.doi.org/10.1155/2021/6675605.

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Large crowding events in big cities pose great challenges to local governments since crowd disasters may occur when crowd density exceeds the safety threshold. We develop an optimization model to generate the emergent train stop-skipping schemes during large crowding events, which can postpone the arrival of crowds. A two-layer transportation network, which includes a pedestrian network and the urban metro network, is proposed to better simulate the crowd gathering process. Urban smartcard data is used to obtain actual passenger travel demand. The objective function of the developed model minimizes the passengers’ total waiting time cost and travel time cost under the pedestrian density constraint and the crowd density constraint. The developed model is tested in an actual case of large crowding events occurred in Shenzhen, a major southern city of China. The obtained train stop-skipping schemes can effectively maintain crowd density in its safety range.
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Ammon, Rob, and Gil Fried. "Crowd Management Practices." Journal of Convention & Exhibition Management 1, no. 2-3 (June 1999): 119–50. http://dx.doi.org/10.1300/j143v01n02_05.

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Winiarski, Jaroslaw. "Crowd Logistics: Sharing Economy in Supply Chain Management." Socio-Economic Analyses 14, no. 1 (June 30, 2022): 138–48. http://dx.doi.org/10.54664/bczo3563.

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The purpose of this paper is to define crowd logistics, a relatively recent phenomenon in the sharing economy. Despite their increasing popularity, such projects have not been the topic of much research, with only a few pieces addressing the problems. The mission of crowd logistics is to connect market participants who have unique logistical capabilities with those who report logistical needs. This is done to prevent unproductive resource usage and to activate underutilized capabilities. An experimental strategy was used to study solutions used in practice, which was based on a survey of 77 active crowd logistics efforts. These projects are categorized into groups in this article, and the key differences between crowd logistics and regular business logistics are highlighted. Furthermore, efforts are made to ascertain future development directions, as well as the potential influence of crowd logistics on traditional firms. This research is based on an examination of secondary sources, including articles, consulting firm reports, and case studies published in branch publications, company websites, and provided by the firms themselves as part of webinars.
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Husman, Muhammad Afif, Waleed Albattah, Zulkifli Zainal Abidin, Yasir Mohd Mustafah, Kushsairy Kadir, Shabana Habib, Muhammad Islam, and Sheroz Khan. "Unmanned Aerial Vehicles for Crowd Monitoring and Analysis." Electronics 10, no. 23 (November 29, 2021): 2974. http://dx.doi.org/10.3390/electronics10232974.

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Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle applications. From preventing stampede in high concentration crowds to estimating crowd density and to surveilling crowd movements, crowd monitoring and analysis have long been employed in the past by authorities and regulatory bodies to tackle challenges posed by large crowds. Conventional methods of crowd analysis using static cameras are limited due to their low coverage area and non-flexible perspectives and features. Unmanned aerial vehicles have tremendously increased the quality of images obtained for crowd analysis reasons, relieving the relevant authorities of the venues’ inadequacies and of concerns of inaccessible locations and situation. This paper reviews existing literature sources regarding the use of aerial vehicles for crowd monitoring and analysis purposes. Vehicle specifications, onboard sensors, power management, and an analysis algorithm are critically reviewed and discussed. In addition, ethical and privacy issues surrounding the use of this technology are presented.
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Dissertations / Theses on the topic "Crowd Management"

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Askay, David Andrew. "Crowd control| Organizing the crowd at Yelp." Thesis, The University of North Carolina at Charlotte, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3594049.

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This dissertation investigates how businesses are able to align the collective actions of a disconnected crowd with the strategic goals of the organization. I examined this questions within the context of the business review website Yelp through a quantitative analysis of nearly 60,000 business reviews, 17 in-depth qualitative interviews with reviewers, and a two-year ethnography. Interpreting the results of this data within the framework of the collective action space (Bimber, Flanagin, & Stohl, 2012) indicates that Yelp is able to manage the contributions of a relatively small subset of reviewers through the Yelp Elite Squad. Rather than simply motivating more reviews, the Elite Squad encouraged reviewers to interact more personally with other reviewers and accept increased institutional engagement with Yelp. In encouraging members of the crowd to produce online reviews within this context, Yelp was able to use organizational culture as a control strategy for encouraging Elite reviewers to adopt a pre-mediated reviewing approach to their reviews. This increased the frequency of moderate reviews and decreased the frequency of extreme reviews. This behavior ultimately furthers the organizational goals of Yelp, as moderate reviews are considered to be more helpful for reviews of businesses. Finally, implications for crowdsourcing, big data analysis, and theory are discussed.

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Seriani, Sebastian. "Crowd management on metro station platforms." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10048479/.

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To reduce problems of interaction at the platform train interface (PTI) crowd management measures (CMM) have been implemented in the London Underground (LU). As an example, platform edge doors (PEDs) are used as door positions indicators at the PTI. However, there is little research focused on the effect of these types of measures on the behaviour and interaction of passengers boarding and alighting. In addition, there is a lack of methods and frameworks to represent and evaluate their behaviour and interaction. A simple framework is proposed to help designers and planners to identify and benchmark the degree of interaction when CMM are used such as PEDs. This framework included a new method, in which the platform conflict area (PCA) is divided into layers of 50 cm each and 40 cm square cells. The framework is supported by observation at two existing stations (with and without PEDs) and laboratory experiments under controlled conditions at UCL’s Pedestrian Accessibility Movement Environmental Laboratory (PAMELA). A tracking tool was used to obtain the position of each passenger on the PCA. The results show that PEDs on their own have no overall negative impact on the boarding and alighting time (BAT) and that in most situations they encourage passengers to wait beside the doors. Measuring the density by layers was more representative of the interaction than average values of density. The space of alighting passengers can be represented as an asymmetrical ellipse and their speed not always increased when they have more space. In addition, if R (boarding/alighting) increases then the formation of flow lines decreases at the PTI. The new framework is able to describe well the phenomena of high interactions and can be used to evaluate suitable CMM in railway infrastructure. Possible applications of the framework, as well as further investigation, were discussed.
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Görzen, Thomas [Verfasser]. "Essays on crowd-based idea evaluation - empirical evidence from an anonymous online crowd / Thomas Görzen." Paderborn : Universitätsbibliothek, 2019. http://d-nb.info/1199439827/34.

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Hoteit, Sahar. "Resource and crowd management in mobile networks." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066245/document.

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L’Internet a été initialement conçu pour servir des usages fixes et sédentaires, cependant les projections montrent que les futurs utilisateurs d'Internet seront de plus en plus mobiles. A l'heure actuelle, la rapidité avec laquelle cette évolution se déroule et la gestion souvent insuffisante des réseaux d'accès représentent un obstacle majeur au développement de services avancés. Afin de résoudre ces problèmes et répondre aux besoins de l'Internet mobile, les fournisseurs de services ont besoin de maîtriser l'expansion de la capacité nécessaire dans leurs réseaux de collecte, sinon le trafic de donnés va pouvoir boucher leurs réseaux dans le futur. Le déploiement des nouvelles générations de réseaux fournit des hautes bandes passantes et débits mais implique souvent des grandes dépenses en capital et en exploitation. Une alternative économiquement et techniquement viable est représentée par les solutions de déchargement du trafic mobile. Ces solutions peuvent réduire la surcharge sur le spectre radio et sur les stations de base et sur le réseau de collecte. Les solutions de déchargement les plus couramment utilisées sont le déchargement sur les réseaux de femtocellules et les réseaux Wi-Fi. Dans le même contexte, pour résoudre le problème de congestion dans le réseau cellulaire, une nouvelle solution est récemment apparue: Information Centric networking permettant la mise en cache des contenus dans le réseau ce qui minimise le temps d'accès aux contenus. L'objectif de cette thèse est donc d'étudier ces nouvelles solutions de déchargement de trafic et de contenu dans les réseaux cellulaires en prenant en considération les schémas de mobilité et les comportements humains
The Internet was initially conceived to serve fix and sedentary usages, while current socio-technological trends clearly show that future Internet users will be increasingly mobile and nomadic. At present, the speed at which this evolution takes place and the inadequate management of access networks represent a major obstacle in the development of advanced services. To solve these problems and to meet the needs of mobile Internet, service providers need to master the needed capacity expansion in their backhauling network, otherwise the data traffic will clog their networks in the future. Next-generation network deployments promise to deliver higher bandwidth and speed, but they often imply high capital and operational expenditures. An alternative economically and technically viable way is represented by mobile data offloading solutions. These solutions can reduce the load on radio spectrum, on base stations and on backhauling network. The most commonly used offloading solutions are over small-networks and over Wi-Fi networks. In the same context, and in order to solve the problem of congestion in the cellular network, a new solution has emerged recently : Information Centric Networking for in-network caching that permits to minimize content access latency. The objective of this thesis is to study these new traffic and content offloading solutions in cellular networks while taking into account the mobility patterns and human behavior
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Fu, Carolyn J. "Collective causality : building solution architectures with a crowd." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112063.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 54-55).
Traditional open innovation has operated on the assumption that by casting a wide net into the crowd, the likelihood of obtaining a desirable solution to a problem increases, due to the greater range of potential solutions that is obtained. This is typically implemented using a competitive format, where the best ideas are selected from a crowd, and the rest are discarded. Unfortunately, the drawback of such a format is that it fails to make use of the efforts behind discarded ideas. Each of these ideas represents a great deal of cognitive effort that has gone towards understanding and solving a problem, and discarding them sacrifices potentially useful insights that might be derived from ultimately unworkable solutions. This thesis explores how a more effective form of collective intelligence might be obtained - one where the half-baked solutions of many participants might be combined to produce something more effective than one participant's fully baked solution that is selected through competition. The specific format of a collaborative causal map is explored, where individuals can each contribute causes and causal links to an overall causal web, building an ever richer architecture of potential solutions (and their sub-solutions) to an overall problem. The goal is to integrate individuals' contributions such that they accumulate to an overall cohesive solution that is better than what any individual could have developed. A series of pilots are conducted to understand the group dynamics in both offline and online collaboration, and determine those factors that are material to the success of an online collaborative causal map. Such factors include how the question is framed, how users attend to others' contributions, or how users' contributions can be curated. These factors are ultimately incorporated into a prototype collaborative causal mapping website, which is developed for public use.
by Carolyn J. Fu.
S.M. in Engineering and Management
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Morrison, Alan D. "Reputation, opportunism and crowd behaviour in debt markets." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365578.

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Andrews, S., T. Day, K. Domdouzis, L. Hirsch, Raluca Lefticaru, and C. Orphanides. "Analyzing Crowd-Sourced Information and Social Media for Crisis Management." Springer International Publishing, 2016. http://hdl.handle.net/10454/17662.

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Yes
The analysis of potentially large volumes of crowd-sourced and social media data is central to meeting the requirements of the ATHENA project. Here, we discuss the various stages of the pipeline process we have developed, including acquisition of the data, analysis, aggregation, filtering, and structuring. We highlight the challenges involved when working with unstructured, noisy data from sources such as Twitter, and describe the crisis taxonomies that have been developed to support the tasks and enable concept extraction. State-of-the-art techniques such as formal concept analysis and machine learning are used to create a range of capabilities including concept drill down, sentiment analysis, credibility assessment, and assignment of priority. We ground many of these techniques using results obtained from a set of tweets which emerged from the Colorado wildfires of 2012 in order to demonstrate the applicability of our work to real crisis scenarios.
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Lipusch, Nikolaus [Verfasser]. "Crowd-Based Entrepreneurship : How Crowd-Based Infrastructures Can Be Leveraged to Unlock New Innovation Potential for Entrepreneurs, Customers and Actors of Entrepreneurial Ecosystems / Nikolaus Lipusch." Kassel : Universitätsbibliothek Kassel, 2020. http://d-nb.info/1212224116/34.

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Höglund, Fredrik. "The Use of Resilience Strategies in Crowd Management at a Music Festival : and the safety organization’s role in avoiding crowd conflict." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-100117.

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Each year people are injured and even die in crowd related accidents, often during planned events. Recent studies have emphasized the need for using a systems approach to study these events. In this study the systems approach of resilience theory is combined with the crowd psychology-models Extended Social Identity Model and the Aggravation and Mitigation Model to examine event safety at a music festival, a domain previously largely unexplored by these perspectives. By using an ethnographic approach as well as interviewing visitors the study set out to answer questions about when and how the safety organization adjusted itself under conditions relating to crowds. Another goal was to study the social identity of the visitors as well as the interaction between the safety organization and the visitors at the festival to explain the presence or absence of crowd conflict. Using thematic analysis several situations were identified where the safety organization adjusted itself, as well as the strategies that the organization used in these different circumstances. It was also concluded that the absence of crowd conflict could best be explained by three factors. First of all, no history of crowd conflict existed between the safety organization and the visitors, secondly, there were no groups present with the goal of creating conflict, and thirdly, the social processes taking place between the safety organization and the visitors were all mitigating in nature. The mitigating nature of the social processes was partly attributable to the strategies identified for adjusting to crowd conditions.
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Jones, Kyle Thomas. "Innovation Management and Crowdsourcing| A Quantitative Analysis of Sponsor and Crowd Assessments." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10686345.

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Crowdsourcing is an increasingly common method used for new product development in large engineering-focused companies. While effective at generating a large number of ideas, previous research has noted that there is not an efficient mechanism to sort ideas based on the sponsor's desired outcomes. Without such a mechanism, the sponsor is left to evaluate ideas individually in a labor-intensive effort. This paper evaluates the extent to which information revealed by the crowd during the course of a crowdsourcing event can be used to accurately predict sponsor selection of submitted ideas. The praxis reviews current literature relevant to new product development, innovation management, and crowdsourcing as well as methods for efficient sorting. Using a quantitatively-based methodology, the author develops and evaluates several predictive models using various attributes of the crowd reaction to crowdsourced ideas. Ultimately, the praxis proposes a model that can significantly reduce the burden of sorting through submissions and determining the submissions which merit further review.

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Books on the topic "Crowd Management"

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. Introduction to Crowd Management. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0.

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Pearson, Geoff, and Clifford Stott. A New Agenda For Football Crowd Management. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16298-5.

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College, Emergency Planning, ed. Lessons learned from crowd-related disasters. Easingwold, York, England: Emergency Planning College, 1992.

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Hanna, James A. Emergency preparedness guidelines for mass, crowd-intensive events. Ottawa, Ont: Emergency Preparedness Canada, 1995.

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Canada, Canada Emergency Preparedness. Emergency preparedness guidelines for mass, crowd-intensive events. Ottawa: Emergency Preparedness, 1995.

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Poole, Thelma. Practical crowd management: A handbook for the cruise & ferry sector. Fareham: Odyssey Training, 2000.

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International, Strategic Directions, ed. The global LIMS market: Standing out in the crowd. Los Angeles: Strategic Directions International, 1996.

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Managing the crowd: Rethinking records management for the Web 2.0 world. London: Facet Publishing, 2008.

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Sangpraphai, Wichai. Wāng pư̄n chai pāk: Mư̄prāp hū dam. Krung Thēp: Wichai Sangpraphai, 2010.

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J, Meacham Brian, ed. Egress design solutions: A guide to evacuation and crowd management planning. Hoboken, N.J: John Wiley, 2007.

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Book chapters on the topic "Crowd Management"

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "What Is Crowd Management?" In Introduction to Crowd Management, 1–12. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_1.

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Silvers, Julia Rutherford, and William O’Toole. "Attendee and crowd management." In Risk Management for Events, 333–59. Second edition. | Abingdon, Oxon ; New York : Routledge, 2021. | Series: Event management series | Revised edition of: Risk management for meetings and events, c2015.: Routledge, 2020. http://dx.doi.org/10.4324/9780429291296-16.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Crowd Properties and Characteristics." In Introduction to Crowd Management, 13–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_2.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Conclusion: The Seven Knows." In Introduction to Crowd Management, 261–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_9.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Crowd Control Methods: Established and Future Practices." In Introduction to Crowd Management, 167–216. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_6.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Planning of Mass Gatherings and Large Events." In Introduction to Crowd Management, 237–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_8.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Risk Management: From Situational Awareness to Crowd Control." In Introduction to Crowd Management, 217–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_7.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Pedestrian and Crowd Sensing Principles and Technologies." In Introduction to Crowd Management, 75–117. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_4.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Crowd Simulators: Computational Methods, Product Selection, and Visualization." In Introduction to Crowd Management, 119–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_5.

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Feliciani, Claudio, Kenichiro Shimura, and Katsuhiro Nishinari. "Analysis of Past Crowd Accidents." In Introduction to Crowd Management, 51–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_3.

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Conference papers on the topic "Crowd Management"

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Park, Andrew J., Ryan Ficocelli, Lee D. Patterson, Valerie Spicer, Frank Dodich, and Herbert H. Tsang. "Modelling Crowd Dynamics and Crowd Management Strategies." In 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2021. http://dx.doi.org/10.1109/iemcon53756.2021.9623214.

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Elharrouss, Omar, Somaya Al-Maadeed, and Khalid Abualsaud. "Crowd Density Estimation for Crowd Management at Event Entrance." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0241.

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Crowd management is an essential task to ensure the safety and smoothness of any events. Using the novel technologies including surveillance cameras, communication technics between security agents, the control of the crowd has become easier. However, the sue of these technics is still not perfectly effective. This paper presents an approach for managing the crowd at the entrance of event (festival, stadium...) using surveillance cameras. Using cameras and some panels in each entrance, the crowd density is extracted and illustrated in each panel. So, before reaching any gate, the people can see the available and the not crowded gate to reach the target. The proposed technique helps not just in smoothing the motion of the crowd but also minimize the crowdity and abnormal behaviors of the people.
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Shalash, Wafaa Mohib, Azzah Abdullah AlZahrani, and Seham Hamad Al-Nufaii. "Crowd Detection Management System." In 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS). IEEE, 2019. http://dx.doi.org/10.1109/cais.2019.8769566.

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Abdelaal, Ali, Charitha Dias, Majid Sarvi, Wael Alhajyaseen, and Faris Tarlochan. "Mega Events and Crowd Evacuation at Tourist Attractions: A Case Study of Souq Waqif using Pedestride® Crowd Simulation Tool." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0238.

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Evacuating individuals at large gathering places can be achieved safely and efficiently through the detailed understanding of crowd dynamics within a certain location. Souq Waqif is a major tourist attraction in Qatar that is expected to see a sever increase in the number of visitors throughout the FIFA World Cup 2022 period. Due to the complexity of running evacuation drills in public areas, crowd simulation software are commonly used to assess crowd management and control strategies at such locations. The present study is aimed at gauging crowd dynamics in Souq Waqif during both normal and emergency evacuation using Pedestride® Crowd Simulation tool. The tool has been developed at Melbourne University, and was validated and calibrated using empirical data collected through real-world observations as well as controlled experiments. The study demonstrated that at increased demands and during emergency evacuation, crowds are likely to take similar routes what leads to a much higher flows towards certain exits. Moreover, the results showed that increasing visitors demands could raise the maximum crowd density to unsafe level of 6 person per square meter at specific gates and junctions. In order to mitigate unfavorable situations such as stampeding in the course of an emergency, dynamic exit signs are proposed to direct crowds to nearest and least occupied exits.
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Hidajat, Taofik, Ina Primiana, Sulaeman Nidar, and Erie Febrian. "Crowd Funding: Financial Service for Unserved Crowds in Indonesia." In International Conference, Integrated Microfinance Management for Sustainable Community Development(IMM 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/imm-16.2016.17.

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Stoyanovich, Julia, Marie Jacob, and Xuemei Gong. "Analyzing Crowd Rankings." In SIGMOD/PODS'15: International Conference on Management of Data. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2767109.2767110.

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Wang, Sibo, Xiaokui Xiao, and Chun-Hee Lee. "Crowd-Based Deduplication." In SIGMOD/PODS'15: International Conference on Management of Data. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2723372.2723739.

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Zuo, Yuqi, Aymen Hamrouni, Hakim Ghazzai, and Yehia Massoud. "V3Trans-Crowd: A Video-based Visual Transformer for Crowd Management Monitoring." In 2023 IEEE International Conference on Smart Mobility (SM). IEEE, 2023. http://dx.doi.org/10.1109/sm57895.2023.10112514.

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Yu, Jiaxin, Suya Zhao, Yuanyuan Li, Qiang Shen, Hui Liu, and Hao Xu. "Crowd JLU: A Crowd-funding Platform for College Students." In 3rd International Conference on Management Science, Education Technology, Arts, Social Science and Economics. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/msetasse-15.2015.259.

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Vasilateanu, Andrei, Ioan Cosmin Radu, and Andreea Buga. "Environment crowd-sensing for asthma management." In 2015 E-Health and Bioengineering Conference (EHB). IEEE, 2015. http://dx.doi.org/10.1109/ehb.2015.7391363.

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Reports on the topic "Crowd Management"

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Wright, Alex, Peter Sanders, John Proust, Robin Workman, Tadas Andriejauskas, and Hao Ye. The new toolkit for highways asset management. TRL, September 2021. http://dx.doi.org/10.58446/ojct3729.

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The application of consistent, reliable information is a key component of highway asset management. However, the tools to understand asset performance have developed rapidly over the last decade. These include asset surveys, intelligent infrastructure monitoring, crowd sourcing, remote sensing, data analytics and visualisation. However, their potential is not yet being fully exploited within the highway environment. By bringing these components of sensing and measurement together we could better understand highway assets and improve reactive and proactive decisions. This paper discusses the tools now available to understand the performance of highway assets. It explores their current and future capabilities, the benefits they bring, and the possibilities that could be achieved through their application within an integrated toolkit. Whilst these tools are not in themselves “new”, a key objective of the paper has been to highlight their emerging capabilities, bring awareness to highway asset managers, and encourage their take up. Increased application will inevitably lead to further development in capability and, importantly, accessibility. There are a number of challenges to overcome to draw full value from these technologies. These include the technical, commercial, and social barriers that influence development and accessibility. The paper discusses actions that could help overcome these, which are presented within the context of a roadmap to the implementation of an integrated toolkit. The roadmap is not definitive - it aims to stimulate further thinking, debate and discussion. The effective management of infrastructure assets is essential to deliver a clean, efficient, safe, reliable and accessible network. A joined up and collaborative approach will help the community achieve the benefits of the integrated toolkit that will help asset managers achieve this.
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Scott, Joe H. Comparison of crown fire modeling systems used in three fire management applications. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2006. http://dx.doi.org/10.2737/rmrs-rp-58.

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Dykstra, Dennis P., and Robert A. Monserud. Forest growth and timber quality: crown models and simulation methods for sustainable forest management. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2009. http://dx.doi.org/10.2737/pnw-gtr-791.

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Arce, Eliécer, and Edgar A. Robles. Fiscal Rules and the Behavior of Public Investment in Costa Rica and Panama: Towards Growth-Friendly Fiscal Policy? Inter-American Development Bank, March 2021. http://dx.doi.org/10.18235/0003071.

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This paper aims to provide evidence on the effects of fiscal rules on public investment, fiscal results and growth in Costa Rica and Panama. First, we find that the budget formulation process and the political economy behind the adoption and compliance of fiscal rules explain that Panama has a bias to create and sequentially pile up rules, while Costa Rica has a tendency not to comply with them. Second, a retrospective analysis of the 2018 fiscal rules in both nations finds asymmetric effects on the fiscal results. In Panama it is difficult to separate the effect of fiscal rule designs on public investment; and, in Costa Rica, the application of the fiscal rule will decrease public investment, if the debt to GDP ratio exceeds 60 percent and current expenditure crowds out capital expenditure. Two lessons emerge. First, an effective fiscal rule compliance requires time consistent institutions, solid monitoring, enforcement schemes and improving the quality of public financial management systems. Second, it is necessary to review the design of fiscal rules in both countries to ensure they are investment and growth friendly.
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