Examining Visitors' Characteristics and Behaviors in Tourist Destinations Through Mobile Phone Users' Location Data

Author(s):  
Masahide Yamamoto

This chapter uses Mobile Kukan Toukei™ (mobile spatial statistics) to collect the location data of mobile phone users in order to count the number of visitors at specific tourist destinations and examine their characteristics. Mobile Kukan Toukei is statistical population data created by an operational data of mobile phone networks. It is possible to estimate the population structure of a region by gender, age, and residence using this service of the company. The locations and characteristics of the individuals obtained herein are derived through a non-identification process, aggregation processing, and concealment processing. Therefore, it is impossible to identify specific individuals. This chapter attempts to identify the number of visitors in different periods and their characteristics based on the location data of mobile phone users collected by the mobile phone company. In addition, it also attempts to demonstrate an alternative method to more accurately infer the number of visitors in specific areas.

2020 ◽  
Vol 12 (19) ◽  
pp. 8046
Author(s):  
Yoon Ha Lee ◽  
Ji Soo Lee ◽  
Seung Chan Baek ◽  
Won Hwa Hong

The spatial equity of outdoor evacuation sites designated for emergency evacuation must be secured. In particular, public administrators must ensure spatial equity in preparing for unpredictable evacuation demands, such as earthquakes. This study analyzed the spatial equity of earthquake evacuation shelters in Daegu, South Korea, by using population data at the local level by time- and date-based mobile phone location data (i.e., floating population data). We compared our analysis of the spatial equity and error rate in this case with census data. Ultimately, our results demonstrate that the use of census population data can cause significant error in evaluations of the equity of evacuation shelter accessibility when the floating population data acquired through mobile phone location data are assumed exact.


2015 ◽  
Vol 9 (6) ◽  
pp. 24-32 ◽  
Author(s):  
Hamid Saremi ◽  
Morteza Rajab Pur Farkhani

This study aims at investigating the relationship between spiritual intelligence and organizational commitment in male teachers of elementary schools in Quchan in the 2013-2014 school years. This is an applied research. Since the researcher sought to study the relationship between the two components, this is correlation research. Considering the variables studied, statistical population was all male teachers in grades three and four at elementary school in Quchan in the 2013-2014 school years. Total number of teachers obtained from Quchan Department of Education was 98 and due to the small size of study population, sampling wasn't performed and the sample was considered equal to the population. Data collection tools were Meyer and Allen's organizational commitment questionnaire and Abdullah Zadeh's spiritual intelligence questionnaire. Having completed the questionnaires, the researcher used mean central statistical indicators and standard deviation dispersion measures and variance for data analysis in descriptive statistics level and in inferential statistics level, they used multivariate linear regression statistic method.The results showed that there was not a significant correlation between total spiritual intelligence and total organizational commitment. There was not also a significant correlation between spiritual intelligence and its components with continuance and normative commitments. However, there was a significant correlation between spiritual intelligence and its components with affective commitment.The findings indicated that spiritual intelligence has been effective in maintaining and improving organizational commitment and it should be tried to improve spirituality and spiritual intelligence in employees and teachers.


2016 ◽  
Vol 11 (1s) ◽  
Author(s):  
Adrian M. Tompkins ◽  
Nicky McCreesh

One year of mobile phone location data from Senegal is analysed to determine the characteristics of journeys that result in an overnight stay, and are thus relevant for malaria transmission. Defining the home location of each person as the place of most frequent calls, it is found that approximately 60% of people who spend nights away from home have regular destinations that are repeatedly visited, although only 10% have 3 or more regular destinations. The number of journeys involving overnight stays peaks at a distance of 50 km, although roughly half of such journeys exceed 100 km. Most visits only involve a stay of one or two nights away from home, with just 4% exceeding one week. A new agent-based migration model is introduced, based on a gravity model adapted to represent overnight journeys. Each agent makes journeys involving overnight stays to either regular or random locations, with journey and destination probabilities taken from the mobile phone dataset. Preliminary simulations show that the agentbased model can approximately reproduce the patterns of migration involving overnight stays.


10.28945/4736 ◽  
2021 ◽  
Vol 16 ◽  
pp. 101-124
Author(s):  
Paul Kariuki ◽  
Lizzy O Ofusori ◽  
Prabhakar Rontala Subramanniam ◽  
Moses Okpeku ◽  
Maria L Goyayi

Aim/Purpose: The paper’s objective is to examine the challenges of using the mobile phone to mine location data for effective contact tracing of symptomatic, pre-symptomatic, and asymptomatic individuals and the implications of this technology for public health governance. Background: The COVID-19 crisis has created an unprecedented need for contact tracing across South Africa, requiring thousands of people to be traced and their details captured in government health databases as part of public health efforts aimed at breaking the chains of transmission. Contact tracing for COVID-19 requires the identification of persons who may have been exposed to the virus and following them up daily for 14 days from the last point of exposure. Mining mobile phone location data can play a critical role in locating people from the time they were identified as contacts to the time they access medical assistance. In this case, it aids data flow to various databases designated for COVID-19 work. Methodology: The researchers conducted a review of the available literature on this subject drawing from academic articles published in peer-reviewed journals, research reports, and other relevant national and international government documents reporting on public health and COVID-19. Document analysis was used as the primary research method, drawing on the case studies. Contribution: Contact tracing remains a critical strategy in curbing the deadly COVID-19 pandemic in South Africa and elsewhere in the world. However, given increasing concern regarding its invasive nature and possible infringement of individual liberties, it is imperative to interrogate the challenges related to its implementation to ensure a balance with public governance. The research findings can thus be used to inform policies and practices associated with contact tracing in South Africa. Findings: The study found that contact tracing using mobile phone location data mining can be used to enforce quarantine measures such as lockdowns aimed at mitigating a public health emergency such as COVID-19. However, the use of technology can expose the public to criminal activities by exposing their locations. From a public governance point of view, any exposure of the public to social ills is highly undesirable. Recommendations for Practitioners: In using contact tracing apps to provide pertinent data location caution needs to be exercised to ensure that sensitive private information is not made public to the extent that it compromises citizens’ safety and security. The study recommends the development and implementation of data use protocols to support the use of this technology, in order to mitigate against infringement of individual privacy and other civil liberties. Recommendation for Researchers: Researchers should explore ways of improving digital applications in order to improve the acceptability of the use of contact tracing technology to manage pandemics such as COVID-19, paying attention to ethical considerations. Impact on Society: Since contact tracing has implications for privacy and confidentiality it must be conducted with caution. This research highlights the challenges that the authorities must address to ensure that the right to privacy and confidentiality is upheld. Future Research: Future research could focus on collecting primary data to provide insight on contact tracing through mining mobile phone location data. Research could also be conducted on how app-based technology can enhance the effectiveness of contact tracing in order to optimize testing and tracing coverage. This has the potential to minimize transmission whilst also minimizing tracing delays. Moreover, it is important to develop contact tracing apps that are universally inter-operable and privacy-preserving.


2020 ◽  
pp. 161-198
Author(s):  
Neville Bolt

Chapter 6 examines how the insurgent landscape has been transformed by the digital revolution; how migrant disaporas and social networks have been brought closer together by digital technologies in the Information Age, and how social movements, once below the radar of states or emergent states, affect and outmaneuver slow-moving bureaucracies. This begs the question: is Propaganda of the Deed active or reactive, truly strategic or opportunistic? The answer lies closer to strategic opportunism, offering a strategy of fluidity able to capitalize on the switch from a one-to-many model of historic communications to a many-to-many model of contemporary communications. Indeed, it exploits to the full the network effect across the Internet and mobile phone networks.


2020 ◽  
Vol 6 (3) ◽  
pp. 205630512094825
Author(s):  
Jordan Frith ◽  
Michael Saker

Mobile phone location data have become tied to understandings of and responses to the COVID-19 pandemic. Data visualizations have used mobile phone data to inform people about how mobility practices may be linked to the spread of the virus, and governments have explored contact tracing that relies upon mobile phone data. This article examines how these uses of location data implicate three particular issues that have been present in the growing body of locative media research: (1) anonymized data are often not anonymous, (2) location data are not always representative and can exacerbate inequality, and (3) location data are a key part of the extension of the surveillance state.


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