Beyond the “single-operator, CDR-only” paradigm: An interoperable framework for mobile phone network data analyses and population density estimation

Ricciato, Fabio; Widhalm, Peter; Pantisano, Francesco; Craglia, Massimo

doi:10.1016/j.pmcj.2016.04.009

Cited by 47 publications

(68 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies have proposed that the locations and subject of UGC may also reveal visitors' preferences for types of destinations and experiences [37][38][39][40][41]. However UGC has limitations and poses challenges for conducting research, including issues of representation [19], lack of quality controls and data provenance [42,43], and even intentional deception by social media users [44]. For these reasons, testing the capability for UGC to measure visitation and visitors' preferences in new geographies is important.…”

Section: Introductionmentioning

confidence: 99%

The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea

Fisher

Wood

Roh

et al. 2019

Land

View full text Add to dashboard Cite

Recreation and tourism are important ways that people interact with and derive benefits from natural environments. Understanding how and where nature provides recreational opportunities and benefits is necessary for management decisions that impact the environment. This study develops and tests an approach for mapping tourism patterns, and assessing people’s preferences for cultural and natural landscapes, using user-generated geographic content. The volume of geotagged images and tweets shared publicly on Flickr and Twitter and proprietary mobile phone traffic provided by a telecommunications company, are used to map visitation rates to potential tourist destinations across Jeju Island, South Korea. We find that densities of social media posts and mobile phone traffic are all correlated with ticket sales and counts of gate entries at tourist sites. Using multivariate linear regression, we measure the degree to which attributes of the natural and built environment explain variation in visitation rates, and find that tourists to Jeju Island prefer to recreate near beaches, sea cliffs, golf courses and hiking trails. We conclude that high-resolution and spatially-explicit visitation data provided by user-generated content open the door for statistical models that can quantify recreation demand. Managers and practitioners could combine these flexible and relatively inexpensive user-generated data with more traditional survey data to inform sustainable tourism development plans and policy decisions. These methods are especially useful in the context of landscape or regional-scale ecosystem service assessments, where there is a need to map the multiple ecological, economic, and cultural benefits of the environment.

show abstract

Section: Introductionmentioning

confidence: 99%

The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea

Fisher

Wood

Roh

et al. 2019

Land

View full text Add to dashboard Cite

show abstract

“…In addition, they demonstrated how mapping of human population changes over time [7]. Authors in [22]…”

Section: Crowd Density Estimation Using Cellular/mobile Phonesmentioning

confidence: 98%

Survey of Crowd Detection Algorithms using Wireless Sensor Networks: A Case of People Crowds

Obbo¹,

Nabaasa²

2019

IJCA

View full text Add to dashboard Cite

In this paper a survey is carried out on crowd detection algorithms, highlighting challenges and gaps visa -avis people crowd detection. The research identifies some of the key capabilities considered invaluable in effective people crowd detection and compares some of the current crowd detection algorithms with regard to these. The results reveal that most algorithms are primarily non-people crowd detection algorithms. While people crowds are intelligent and can easily bypass most of the current crowd detection algorithms. Given the need for detection and management of people crowds, there is great need for specialized algorithms for people crowd detection using effective and non resource intensive methods .

show abstract

“…Selecting a data source for analysis is a trade-off between spatial resolution, temporal resolution, and data accessibility [26]. CDRs provide information at the highest spatial resolution but are event-based.…”

Section: Elements Of Mobile Network Operator Infrastructurementioning

confidence: 99%

Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges

Dujardin

Jacques²,

Steele

et al. 2020

Sustainability

View full text Add to dashboard Cite

Climate change places cities at increasing risk and poses a serious challenge for adaptation. As a response, novel sources of data combined with data-driven logics and advanced spatial modelling techniques have the potential for transformative change in the role of information in urban planning. However, little practical guidance exists on the potential opportunities offered by mobile phone data for enhancing adaptive capacities in urban areas. Building upon a review of spatial studies mobilizing mobile phone data, this paper explores the opportunities offered by such digital information for providing spatially-explicit assessments of urban vulnerability, and shows the ways these can help developing more dynamic strategies and tools for urban planning and disaster risk management. Finally, building upon the limitations of mobile phone data analysis, it discusses the key urban governance challenges that need to be addressed for supporting the emergence of transformative change in current planning frameworks.

show abstract

Beyond the “single-operator, CDR-only” paradigm: An interoperable framework for mobile phone network data analyses and population density estimation

Cited by 47 publications

References 18 publications

The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea

The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea

Survey of Crowd Detection Algorithms using Wireless Sensor Networks: A Case of People Crowds

Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges

Contact Info

Product

Resources

About