scholarly journals Profiling Residents’ Mobility with Grid-Aggregated Mobile Phone Trace Data Using Chengdu as the Case

2021 ◽  
Vol 13 (24) ◽  
pp. 13713
Author(s):  
Xuesong Gao ◽  
Hui Wang ◽  
Lun Liu

People’s movement trace harvested from mobile phone signals has become an important new data source for studying human behavior and related socioeconomic topics in social science. With growing concern about privacy leakage of big data, mobile phone data holders now tend to provide aggregate-level mobility data instead of individual-level data. However, most algorithms for measuring mobility are based on individual-level data—how the existing mobility algorithms can be properly transformed to apply on aggregate-level data remains undiscussed. This paper explores the transformation of individual data-based mobility metrics to fit with grid-aggregate data. Fifteen candidate metrics measuring five indicators of mobility are proposed and the most suitable one for each indicator is selected. Future research about aggregate-level mobility data may refer to our analysis to assist in the selection of suitable mobility metrics.

2018 ◽  
Vol 54 (4) ◽  
pp. 745-775 ◽  
Author(s):  
Karel Kouba ◽  
Jakub Lysek

Research on invalid voting has expanded rapidly over the past few years. This review article for the first time examines its principal findings and provides a new theoretical perspective on the origins of invalid votes based on a two-dimensional framework. The main results of 54 studies using both individual-level and aggregate-level data as well as the results of experimental and qualitative studies are analysed. The meta-analysis of all existing aggregate-level studies finds that compulsory voting, quality of democracy, fragmentation and closeness of the electoral race play important roles in explaining invalid voting. On the other hand, the research is accompanied by many theoretical and empirical contradictions that hamper the accumulation of knowledge in this field. We therefore conclude by suggesting the challenges for future research.


2018 ◽  
Vol 56 (1) ◽  
pp. 146-151 ◽  
Author(s):  
Idean Salehyan

This conclusion to the special issue highlights the role of scholars in advancing the public discussion about forced migration. As countries around the world are adopting increasing restrictions on the entry of refugees, academic research can help to dispel some of the myths and apprehensions regarding the risks that forced migration entails. While refugees may be linked to conflict and violence in limited circumstances, the research generally demonstrates that robust international cooperation to manage refugee settlements, provide adequate humanitarian assistance, and integrate refugees into host communities, among other policies, can help to mitigate potential risks. Directions for future research and analysis are also discussed. Forced migration scholars should endeavor to collect more individual-level data; seek to understand factors that exacerbate or reduce security risks associated with cross-border militancy; conduct research on the long-term integration of refugees; and seek to understand the causes and consequences of resettlement and repatriation policies.


2017 ◽  
Vol 57 (6) ◽  
pp. 1150-1190 ◽  
Author(s):  
Saurav Pathak ◽  
Etayankara Muralidharan

This article explores the extent to which income inequality and income mobility—both considered indicators of economic inequality and conditions of formal regulatory institutions (government activism)—facilitate or constrain the emergence of social entrepreneurship. Using 77,983 individual-level responses obtained from the Global Entrepreneurship Monitor (GEM) survey of 26 countries, and supplementing with country-level data obtained from the Global Competitiveness Report of the World Economic Forum, our results from multilevel analyses demonstrate that country-level income inequality increases the likelihood of individual-level engagement in social entrepreneurship, while income mobility decreases this likelihood. Further, income mobility negatively moderates the influence of income inequality on social entrepreneurship, such that the condition of low income mobility and high income inequality is a stronger predictor of social entrepreneurship. We discuss implications and limitations of our study, and we suggest avenues for future research.


2017 ◽  
Vol 51 (5) ◽  
pp. 555-586
Author(s):  
Arturas Rozenas ◽  
Anoop Sadanandan

A rich theoretical literature argues that, in contradiction to Duverger’s law, the plurality voting rule can fail to produce two-party system when voters do not share their common information about the electoral situation. We present an empirical operationalization and a series of tests of this informational hypothesis in the case of India using constituency- and individual-level data. In highly illiterate constituencies where access to information and information sharing among voters is low, voters often fail to coordinate on the two most viable parties. In highly literate constituencies, voters are far more successful at avoiding vote-wasting—in line with the informational hypothesis. At a microlevel, these aggregate-level patterns are driven by the interaction of individual information and the informational context: In dense informational environments, even low-information voters can successfully identify viable parties and vote for them, but in sparse informational environments, individual access to information is essential for successful strategic voting.


2017 ◽  
Vol 4 (5) ◽  
pp. 160950 ◽  
Author(s):  
Cecilia Panigutti ◽  
Michele Tizzoni ◽  
Paolo Bajardi ◽  
Zbigniew Smoreda ◽  
Vittoria Colizza

The recent availability of large-scale call detail record data has substantially improved our ability of quantifying human travel patterns with broad applications in epidemiology. Notwithstanding a number of successful case studies, previous works have shown that using different mobility data sources, such as mobile phone data or census surveys, to parametrize infectious disease models can generate divergent outcomes. Thus, it remains unclear to what extent epidemic modelling results may vary when using different proxies for human movements. Here, we systematically compare 658 000 simulated outbreaks generated with a spatially structured epidemic model based on two different human mobility networks: a commuting network of France extracted from mobile phone data and another extracted from a census survey. We compare epidemic patterns originating from all the 329 possible outbreak seed locations and identify the structural network properties of the seeding nodes that best predict spatial and temporal epidemic patterns to be alike. We find that similarity of simulated epidemics is significantly correlated to connectivity, traffic and population size of the seeding nodes, suggesting that the adequacy of mobile phone data for infectious disease models becomes higher when epidemics spread between highly connected and heavily populated locations, such as large urban areas.


Author(s):  
Lauren A. Cowley ◽  
Mokibul Hassan Afrad ◽  
Sadia Isfat Ara Rahman ◽  
Md Mahfuz Al Mamun ◽  
Taylor Chin ◽  
...  

AbstractGenomics, combined with population mobility data, used to map importation and spatial spread of SARS-CoV-2 in high-income countries has enabled the implementation of local control measures. Here, to track the spread of SARS-CoV-2 lineages in Bangladesh at the national level, we analysed outbreak trajectory and variant emergence using genomics, Facebook ‘Data for Good’ and data from three mobile phone operators. We sequenced the complete genomes of 67 SARS-CoV-2 samples (collected by the IEDCR in Bangladesh between March and July 2020) and combined these data with 324 publicly available Global Initiative on Sharing All Influenza Data (GISAID) SARS-CoV-2 genomes from Bangladesh at that time. We found that most (85%) of the sequenced isolates were Pango lineage B.1.1.25 (58%), B.1.1 (19%) or B.1.36 (8%) in early-mid 2020. Bayesian time-scaled phylogenetic analysis predicted that SARS-CoV-2 first emerged during mid-February in Bangladesh, from abroad, with the first case of coronavirus disease 2019 (COVID-19) reported on 8 March 2020. At the end of March 2020, three discrete lineages expanded and spread clonally across Bangladesh. The shifting pattern of viral diversity in Bangladesh, combined with the mobility data, revealed that the mass migration of people from cities to rural areas at the end of March, followed by frequent travel between Dhaka (the capital of Bangladesh) and the rest of the country, disseminated three dominant viral lineages. Further analysis of an additional 85 genomes (November 2020 to April 2021) found that importation of variant of concern Beta (B.1.351) had occurred and that Beta had become dominant in Dhaka. Our interpretation that population mobility out of Dhaka, and travel from urban hotspots to rural areas, disseminated lineages in Bangladesh in the first wave continues to inform government policies to control national case numbers by limiting within-country travel.


2020 ◽  
pp. 194855062095257
Author(s):  
Ho Fai Chan ◽  
Jordan W. Moon ◽  
David A. Savage ◽  
Ahmed Skali ◽  
Benno Torgler ◽  
...  

The current COVID-19 pandemic is a global, exogenous shock, impacting individuals’ decision making and behavior allowing researchers to test theories of personality by exploring how traits, in conjunction with individual and societal differences, affect compliance and cooperation. Study 1 used Google mobility data and nation-level personality data from 31 countries, both before and after region-specific legislative interventions, finding that agreeable nations are most consistently compliant with mobility restrictions. Study 2 ( N = 105,857) replicated these findings using individual-level data, showing that several personality traits predict sheltering in place behavior, but extraverts are especially likely to remain mobile. Overall, our analyses reveal robust relationships between traits and regulatory compliance (mobility behavior), both before and after region-specific legislative interventions, and the global declaration of the pandemic. Further, we find significant effects on reasons for leaving home, as well as age and gender differences, particularly relating to female agreeableness for previous and future social mobility behaviors. These sex differences, however, are only visible for those living in households with two or more people, suggesting that such findings may be driven by division of labor.


2009 ◽  
Vol 111 (10) ◽  
pp. 2444-2478 ◽  
Author(s):  
Josipa Roksa

Background/Context Although the importance of facilitating transfer from community colleges to 4-year institutions is almost universally accepted, there is little consensus on how to measure transfer success or evaluate policies aimed at assisting students in making this educational transition. Despite the increasing attention on transfer in recent decades, the most fundamental types of questions, such as whether community colleges are successful at facilitating transfer and bachelor's degree attainment and whether articulation policies are effective, lack satisfactory answers. Purpose/Objective/Research Question/Focus of Study I describe challenges associated with current endeavors to facilitate and measure transfer success, attempt to resolve some of the inconsistencies in previous research on articulation policies, and illuminate promising paths for the future. Research Design The manuscript begins with a synthesis of previous research, including different definitions of transfer success and articulation policies. I then analyze state-level and individual-level data to examine the effectiveness of articulation policies using these distinct definitions. Finally, I draw on descriptive information from various higher education systems to illustrate the variety of strategies adopted to facilitate transfer, and I suggest potential explanations for why statewide articulation policies may not appear effective. Conclusions/Recommendations The current state of knowledge and data collection efforts make it impossible to provide definitive answers regarding the effectiveness of articulation policies in higher education. I conclude with recommendations for improving future research and policy regarding this crucial transition in higher education, including collecting and sharing data (with collaboration between higher education institutions and state and federal governments), clearly defining goals of articulation policies and evaluating them accordingly, and developing a consistent set of definitions and measurements of transfer success. I suggest that these recommendations can be implemented by building on existing systems of collaboration and coordination in higher education. The 2/4 community college-baccalaureate transfer function is one of the most important state policy issues in higher education because its success (or failure) is central to many dimensions of state higher education performance, including access, equity, affordability, cost effectiveness, degree productivity, and quality. Wellman, 2002, p. 3


1993 ◽  
Vol 8 (3) ◽  
pp. 253-270 ◽  
Author(s):  
Candace Kruttschnitt

Drawing from different kinds and levels of analysis, this article synthesizes current knowledge on women’s violent offending and victimization cross-nationally. Individual-level data indicate characteristics and situations that put women at risk for violence within particular countries. Aggregate-level data concentrate on women’s risks of violent encounters across nations and the societal-level factors that are associated with these risks. This multinational, multilevel approach reveals substantial gaps between our understanding of the types of encounters in which women are at greatest risk for violence and the societal correlates that predict gender distributions in violence across nations.


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