scholarly journals DISNEY2GO solution to overcrowded theme parks: tech based crowd mitigation tool

2021 ◽  
Author(s):  
Meaghan Taylor

The purpose of this project is to investigate the effectiveness of how a mobile app integrating augmented reality and GPS technology can influence crowd behaviour in the themed entertainment industry. In partnership with Dr. Asgary, Associate Professor of Disaster & Emergency Management at York University and a member ADERSIM, the study was conducted on the AnyLogic Simulation system to measure how Disney characters can act as a crowd mitigation tool to influence crowd movements throughout the Magic Kingdom. Using data to represent park entrance rates, attraction duration, and wait times, the study was able to capture the level of influence Disney characters had on park guest’s movements throughout their visit. This simulation reveals that Disney characters have the ability to influence crowd behaviour with a probability rate of approximately 30%. This data supports the view that the proposed mobile app will act as an effective crowd mitigation tool and can strategically influence crowd migration throughout the Magic Kingdom.

2021 ◽  
Author(s):  
Meaghan Taylor

The purpose of this project is to investigate the effectiveness of how a mobile app integrating augmented reality and GPS technology can influence crowd behaviour in the themed entertainment industry. In partnership with Dr. Asgary, Associate Professor of Disaster & Emergency Management at York University and a member ADERSIM, the study was conducted on the AnyLogic Simulation system to measure how Disney characters can act as a crowd mitigation tool to influence crowd movements throughout the Magic Kingdom. Using data to represent park entrance rates, attraction duration, and wait times, the study was able to capture the level of influence Disney characters had on park guest’s movements throughout their visit. This simulation reveals that Disney characters have the ability to influence crowd behaviour with a probability rate of approximately 30%. This data supports the view that the proposed mobile app will act as an effective crowd mitigation tool and can strategically influence crowd migration throughout the Magic Kingdom.


Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 12-14
Author(s):  
Akira Kawai ◽  
Masahiro Kenmotsu

Traffic congestion in parking lots is a common phenomenon across the world and larger commercial facilities with multiple parking areas may be particularly affected as many users struggle to gain access to sought-after parking spots close to their destinations. These popular zones often see traffic jams forming as many vehicles arrive within these regions, while less popular areas may remain free from congestion. This creates a very uneven distribution of traffic, with motorists in popular areas becoming trapped and unable to leave bottleneck regions. As a result, the car park management industry has taken an interest in research into parking guidance. Parking guidance has been developed to help improve efficiencies in car parks, guiding drivers to specific spaces using GPS technology to highlight free spaces near their location detailing the most efficient way to get to that spot. Associate Professor Akira Kawai, who is based at Shiga University in Japan, has been working on a KAKEN project that seeks to leverage real-time positional information to help guide drivers to free spaces within parking lots.


Trials ◽  
2015 ◽  
Vol 16 (S1) ◽  
Author(s):  
Carol Fawkes ◽  
Robert Froud ◽  
Dawn Carnes

2019 ◽  
Vol 17 (2) ◽  
pp. 148
Author(s):  
DeeDee M. Bennett, PhD

Women and racial/ethnic minorities have long been underrepresented in the field of emergency management. This is true for both practice and research. The lack of women and racial/ethnic minorities in the profession and their perceived absence in research or scholarly study may have impacts on the effectiveness of response and recovery efforts as well as the broader scientific knowledge within the field. Historically, women and racial/ethnic minority communities have disproportionately experienced negative impacts following disasters. Earlier related studies have pointed to the underrepresentation as a contributing factor in community vulnerability. The scarcity of women in practice and as students in this field has been particularly evident in the United States. Using data from a recent survey of emergency management programs nationwide, this article reviews the concerns in research with regards to women and ethnic minority communities during disasters, efforts to increase representation of these groups in the field, and discusses the implications for practice, policy, and future research. The findings show that women have a strong presence in emergency management programs nationwide, and while specific data on racial and ethnic minorities are lacking, the observed increases reported in this article encourages further study.


2020 ◽  
pp. 1-27
Author(s):  
M. Keith Chen ◽  
Kareem Haggag ◽  
Devin G. Pope ◽  
Ryne Rohla

Equal access to voting is a core feature of democratic government. Using data from hundreds of thousands of smartphone users, we quantify a racial disparity in voting wait times across a nationwide sample of polling places during the 2016 U.S. presidential election. Relative to entirely-white neighborhoods, residents of entirely-black neighborhoods waited 29% longer to vote and were 74% more likely to spend more than 30 minutes at their polling place. This disparity holds when comparing predominantly white and black polling places within the same states and counties, and survives numerous robustness and placebo tests. We shed light on the mechanism for these results and discuss how geospatial data can be an effective tool to both measure and monitor these disparities going forward.


2020 ◽  
Vol 2 ◽  
pp. 1-2
Author(s):  
Mathias Gröbe ◽  
Alexander Dunkel ◽  
Dirk Burghardt

Abstract. The starting point for developing a new map was defined by the requirements of the “MeinGrün” project (can be translated as ‘my green’ project). The aim is the development of a mobile app, which enables routing to urban areas, including suggestions for attractive places for different activities. A specific map style was designed to communicate information related to green spaces effectively and to make users excited about the topic of the project.Among other reasons, we also want to apply our knowledge on vector tile generation and use it in teaching. For the demonstration of our research on generalization, it is beneficial to offer a web map service because such a service allows illustrating developed methods and results. Finally, the experience enables us to train students in the design and development of customized styles for zoomable web maps.The aim is to build a map service with several zoom levels up to small scales using data from OpenStreetMap and NaturalEarth. For better adaptivity, it is aimed to offer the map as vector and raster tiles with the same style. Besides, making high-resolution raster tiles available for retina displays is considered as well. The rationale is that everyone can choose the appropriate method of delivery for different contexts of application. These requirements result in some technological challenges: provide vector and raster tiles at the same time and style, keep the computation time for an update, and generation low. For providing and delivering up to date data, on-the-fly map generalization has been implemented, e.g., scale-dependent selection, simplification, and aggregation of various features.Figure 1 shows our result, a map in warm colors, and a reduced information load for serving a reference map. The visualization of roads with a simple line is unique, but this was also the intension of the applied research project: the production of something unique and easy rememberable for the “MeinGrün” project. The hill-shading uses raster tiles while all other map features work with vector tiles.The data transformation from the OpenStreetMap format to the spatial PostgreSQL/PostGIS database has been applied with IMPOSM, a well-documented and efficient tool. GDAL is used to import the NaturalEarth data and doing some processing steps. PostgreSQL and its spatial extension PostGIS serve in many web-mapping projects as a data store and offer a wide range of options for processing data. After specified queries are applied, the t_rex software generates the vector tiles from the database, which are then packed as MBtiles using mbutil. Finally, Tileserver GL is used to serve vector and raster tiles, including further necessary additions such as style, sprites, and glyphs.To sum up, we already have a working service, which is available on our server with an ongoing blog about the project. Still, it is a work on progress project that needs further research and development. For example, the integration of Wikipedia/Wikidata information for selecting place by their importance, transliteration of no-Latin place names for a world-wide coverage, and more and better labeling of features. Now the map extent is scale depended and covers at low zoom levels the whole world. In contrast, the higher zoom levels are only available in Dresden and Heidelberg to match the requirements of the “MeinGrün” project but will be extended in the future.


2020 ◽  
Vol 5 (2) ◽  
pp. 58-73
Author(s):  
Muhammad Zafar Iqbal ◽  
Kamran Mir ◽  
Safia Janjua

This research paper was aimed to explore the trends in Allama Iqbal Open University (AIOU) open and distance learning support system (ODLSS). The study was quantitative in its approach and descriptive research design was adopted. Data were collected through Google data analytics software. In this research the data of ODLSS for four years were included from 2016-2019. To explore the trends in ODLSS the data were collected on number of visitors, visitors by time, city, country, technology, screen resolution, and language used. It was found that over the time period AIOU students increased in accessing the ODLSS using mobiles through android and windows sets. They mostly used chrome to access the website. At present no mobile APP has been developed by AIOU for the mobile users. So, it was recommended that AIOU should develop a mobile application for android users so that students may get information easily anywhere.


2019 ◽  
Vol 133 (1) ◽  
pp. 165-165
Author(s):  
Danielle Bradley ◽  
Erin Landau ◽  
Adam Wolfberg ◽  
Alex Baron
Keyword(s):  

2021 ◽  
pp. 002224292199544
Author(s):  
Yong-Chin Tan ◽  
Sandeep R. Chandukala ◽  
Srinivas K. Reddy

The rise of Augmented Reality (AR) technology presents marketers with promising opportunities to engage customers and transform their brand experience. While firms are keen to invest in AR, research documenting its tangible impact in real-world contexts is sparse. In this article, the authors outline four broad uses of the technology in retail settings. Next, they focus specifically on the use of AR to facilitate product evaluation prior to purchase, and empirically investigate its impact on sales in online retail. Using data obtained from an international cosmetics retailer, they find that AR usage on the retailer’s mobile app is associated with higher sales for brands that are less popular, products with narrower appeal, and products that are more expensive. In addition, the effect of AR is stronger for customers who are new to the online channel or product category, suggesting that the sales increase is coming from online channel adoption and category expansion. These findings provide converging evidence that AR is most effective when product-related uncertainty is high, demonstrating the technology’s potential to increase sales by reducing uncertainty and instilling purchase confidence. To encourage more impactful research in this area, the authors conclude with a research agenda for AR in marketing.


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