• Corpus ID: 42377396

The Differing Tribal and Infrastructural Influences on Mobility in Developing and Industrialized Regions

@inproceedings{Amini2013TheDT,
  title={The Differing Tribal and Infrastructural Influences on Mobility in Developing and Industrialized Regions},
  author={Alexander Amini and Kevin S. Kung and Chaogui Kang and Stanislav Sobolevsky and Carlo Ratti},
  year={2013}
}
This study leverages mobile phone data to analyze mobility patterns in developing countries, especially in comparison to more developed countries. Developing regions, such as the Ivory Coast, are marked by a number of factors that may influence mobility, such as less infrastructural coverage and maturity, less economic resources and stability, and in some cases, more cultural and language-based diversity. By comparing mobile phone data collected from the Ivory Coast to similar data collected in… 
Tweeting Over The Border: An Empirical Study of Transnational Migration in San Diego and Tijuana
TLDR
This work uses geo located information obtained from Twitter as to understand transnational migration patterns between two border cities (San Diego, USA and Tijuana, Mexico) and depicts a trans national community structure that exhibits the formation of a functional metropolitan area that physically transcends international borders.
The geography and carbon footprint of mobile phone use in Cote d’Ivoire
TLDR
A series of spatial data analyses that reveal important geographic aspects of mobile phone use in Cote d’Ivoire reveal new insights into the use of mobile technology in a developing country.
Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator
TLDR
From the frequency of calls at different times of the day, in different small regional units (sub-prefectures) in Côte d'Ivoire, a division of users enables us to analyze different mobility and calling patterns for the different regions, revealing the diversity of socio-economic insights that can be inferred using only mobile phone call data.
Geo-located Twitter as proxy for global mobility patterns
TLDR
This article analyses geo-located Twitter messages in order to uncover global patterns of human mobility and reveals spatially cohesive regions that follow the regional division of the world.
Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data
TLDR
This work applies mobile phone call detail records to a broad range of datasets, showing that home-work time distributions and average values within a single region are indeed largely independent of commute distance or country–despite substantial spatial and infrastructural differences.
Impact of the spatial context on human communication activity
TLDR
This paper investigates relevant geographical areas based on their categories of human activities (i.e., working and shopping) in order to understand human-environmental relationships using spectral clustering approach followed by k-means algorithm based on TF/IDF cosine similarity metric.
Mobility patterns analysis of Beijing residents based on call detail records
TLDR
Call Detail Records data is leveraged to analyze the mobility patterns of samples from Beijing residents to give new insight on human mobility research using CDRs for future related research on wireless networks, human dynamics and other possible fields.
Predicting regional economic indices using big data of individual bank card transactions
TLDR
The finding is that there is a clear correlation between individual spending behavior and official socioeconomic indexes denoting quality of life and this modus operandi is useful to understand, predict and analyze the impact of human activity on the wellness of the authors' society on scales for which there is no consistent official statistics available.
A survey of results on mobile phone datasets analysis
TLDR
The contributions made so far on the social networks that can be constructed with large-scale anonymized datasets, the study of personal mobility, geographical partitioning, urban planning, and help towards development as well as security and privacy issues are surveyed.

References

SHOWING 1-10 OF 26 REFERENCES
A universal model for mobility and migration patterns
TLDR
A stochastic process capturing local mobility decisions that helps to derive commuting and mobility fluxes that require as input only information on the population distribution is introduced, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes.
Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network
TLDR
This paper attempts to connect telecoms usage data from Telecom Italia Mobile (TIM) to a geography of human activity derived from data on commercial premises advertised through Pagine Gialle, the Italian ‘Yellow Pages’.
Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis
TLDR
The ‘Mobile Landscapes' project is presented: an application in the metropolitan area of Milan, Italy, based on the geographical mapping of cell phone usage at different times of the day, which enables a graphic representation of the intensity of urban activities and their evolution through space and time.
Redrawing the Map of Great Britain from a Network of Human Interactions
TLDR
This paper proposes a novel, fine-grained approach to regional delineation, based on analyzing networks of billions of individual human transactions, and shows how to partition the area into smaller, non-overlapping regions while minimizing the disruption to each person's links.
Data for Development: the D4D Challenge on Mobile Phone Data
TLDR
The datasets are based on anonymized Call Detail Records of phone calls and SMS exchanges between Orange's mobile phone users in Ivory Coast and the purpose of this paper is to describe the four datasets.
Geographic Constraints on Social Network Groups
TLDR
It is found that small social groups are geographically very tight, but become much more clumped when the group size exceeds about 30 members, and the results suggest that spreading processes face distinct structural and spatial constraints.
Mobile Phone–based Infectious Disease Surveillance System, Sri Lanka
TLDR
The primary lesson learned was that mobile phone–based surveillance of animal populations is acceptable and feasible in lower-resource settings, however, any system implementation plan must consider the time needed to garner support for novel surveillance methods among users and stakeholders.
MAPE-R: a rescaled measure of accuracy for cross-sectional subnational population forecasts
Accurately measuring a population and its attributes at past, present, and future points in time has been of great interest to demographers. Within discussions of forecast accuracy, demographers have
The Geography of Transport Systems
1. Transportation and Geography 2. Transportation Systems and Networks 3. Economic and Spatial Structure of Transport Systems 4. Transportation Modes 5. Transportation Terminals 6. International and
A Method for Comparing Two Hierarchical Clusterings
TLDR
The derivation and use of a measure of similarity between two hierarchical clusterings, Bk, is derived from the matching matrix, [mij], formed by cutting the two hierarchical trees and counting the number of matching entries in the k clusters in each tree.
...
...