scholarly journals Analysing the impact of electrification on rural attractiveness in Senegal with mobile phone data

2021 ◽  
Vol 8 (10) ◽  
Author(s):  
Hadrien Salat ◽  
Markus Schläpfer ◽  
Zbigniew Smoreda ◽  
Stefania Rubrichi
Keyword(s):  
Mobile Phone ◽  
Rural Areas ◽  
Mobile Phone Data ◽  
Living Standard ◽  
Centrality Measures ◽  
Planning Strategy ◽  
Development Agenda ◽  
Food Education ◽  
Rural Sites ◽  
The Impact

Reliable and affordable access to electricity has become one of the basic needs for humans and is, as such, at the top of the development agenda. It contributes to socio-economic development by transforming the whole spectrum of people’s lives—food, education, healthcare. It spurs new economic opportunities, thus improving livelihoods. Using a comprehensive dataset of pseudonymized mobile phone records, we analyse the impact of electrification on attractiveness for rural areas in Senegal. We extract communication and mobility flows from call detail records and show that electrification is positively and specifically correlated with centrality measures within the communication network and with the volume of incoming visitors. This increased influence is however circumscribed to a limited spatial extent, creating a complex competition with nearby areas. Nevertheless, we found that the volume of visitors between any two sites could be well predicted from the level of electrification at the destination and the living standard at the origin. In view of these results, we discuss how to obtain the best outcomes from a rural electrification planning strategy. We determine that electrifying clusters of rural sites is a better solution than centralizing electricity supplies to maximize the development of specifically targeted sites.

scholarly journals Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data

Epidemiology ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 223-228 ◽  
Author(s):  
Amy Wesolowski ◽  
Wendy Prudhomme O’Meara ◽  
Andrew J. Tatem ◽  
Samson Ndege ◽  
Nathan Eagle ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Sub Saharan Africa ◽  
Mobile Phone Data ◽  
Preventive Healthcare ◽  
Sub Saharan ◽  
The Impact

scholarly journals Rapid Multi-Dimensional Impact Assessment of Floods

2020 ◽  
Vol 12 (10) ◽  
pp. 4246 ◽  
Author(s):  
David Pastor-Escuredo ◽  
Yolanda Torres ◽  
María Martínez-Torres ◽  
Pedro J. Zufiria
Keyword(s):  
Social Media ◽  
Impact Assessment ◽  
Rural Areas ◽  
Disaster Response ◽  
Heterogeneous Data ◽  
Data Driven ◽  
Sensor Data ◽  
Mobile Phone Data ◽  
Aggregated Data ◽  
The Impact

Natural disasters affect hundreds of millions of people worldwide every year. The impact assessment of a disaster is key to improve the response and mitigate how a natural hazard turns into a social disaster. An actionable quantification of impact must be integratively multi-dimensional. We propose a rapid impact assessment framework that comprises detailed geographical and temporal landmarks as well as the potential socio-economic magnitude of the disaster based on heterogeneous data sources: Environment sensor data, social media, remote sensing, digital topography, and mobile phone data. As dynamics of floods greatly vary depending on their causes, the framework may support different phases of decision-making during the disaster management cycle. To evaluate its usability and scope, we explored four flooding cases with variable conditions. The results show that social media proxies provide a robust identification with daily granularity even when rainfall detectors fail. The detection also provides information of the magnitude of the flood, which is potentially useful for planning. Network analysis was applied to the social media to extract patterns of social effects after the flood. This analysis showed significant variability in the obtained proxies, which encourages the scaling of schemes to comparatively characterize patterns across many floods with different contexts and cultural factors. This framework is presented as a module of a larger data-driven system designed to be the basis for responsive and more resilient systems in urban and rural areas. The impact-driven approach presented may facilitate public–private collaboration and data sharing by providing real-time evidence with aggregated data to support the requests of private data with higher granularity, which is the current most important limitation in implementing fully data-driven systems for disaster response from both local and international actors.

scholarly journals Impact of Microcredit on Living Standard of Dairy Entrepreneurs: Special Focus on Oddusuddan DS Division in Mullaitivu District

2019 ◽  
Vol 3 (2) ◽  
pp. 43-48
Author(s):  
Saseela Balagobei ◽  
Sankeetha Aravinthakumar
Keyword(s):  
Quantitative Analysis ◽  
Low Income ◽  
Rural Areas ◽  
Positive Impact ◽  
Primary Data ◽  
Living Standard ◽  
Poor People ◽  
Special Focus ◽  
The Impact ◽  
Micro Credit

Microcredit is part of micro finance, which provides a wider range of financial services for low income people. Micro credit serves as a vital role for Living standard of poor people in the developing countries as well as in Sri Lanka. In this Study Oddusuddan DS division in Mullaitivu district was selected as research area. After the 30 years conflict situation most people in the Oddusuddan area in Mullaitivu district are subordinate to the poverty line, because most of the displaced people who are female other than male staying here. Women lost their male relatives in struggle, and forced to take a responsibility of their family in order to look after their children, aged parents and their male relatives.  Micro credit helps the poor people particularly women in effective ways in order to create income generating activities.  The prime objective of this study is to investigate the impact of Microcredit on living standard of dairy entrepreneurs in Oddusuddan DS division in Mullaitivu District. In the rural areas of Mullaitivu, Oddusuddan Divisional Secretariat Divisions 100 dairy entrepreneurs were selected as the sample size of population. The selected entrepreneurs who have received loan from samurdhi bank for dairy farming activities in Oddusuddan DS Division. Primary data were used for gathering information and quantitative analysis was carried out to find out the results. In the quantitative analysis the correlation and regression methods were employed to examine the hypotheses by using SPSS. The result of this study concluded that there is a positive impact of samurdhi micro credit on living standard of dairy entrepreneurs in Oddusuddan DS Division. In addition to this, using micro credit facilities create more job opportunities and variety of economic activities and improve household education, income, saving and heath condition of the people. The study recommends that micro credit institution should consider improve the living standard of dairy entrepreneurs through increase the loan amount with lower interest rate.

scholarly journals Analysis of Mobile Phone Data to Compare Mobility Flows and Hotspots Before and After the Opening of High-Speed Railway: Case Study of Honam KTX in Korea

2020 ◽  
Vol 10 (14) ◽  
pp. 5009
Author(s):  
Jin Ki Eom ◽  
Kwang-Sub Lee ◽  
Ji Young Song ◽  
Jun Lee
Keyword(s):  
Mobile Phone ◽  
High Speed ◽  
Mobile Phone Data ◽  
High Speed Railway ◽  
Railway Stations ◽  
Intercity Travel ◽  
Before And After ◽  
Transit Agencies ◽  
One Year ◽  
The Impact

Mobile phone data provides information, such as the home (origin) and current locations of people. The data can be used to analyze the impact of new high-speed railway (HSR) openings. This study examined the population observed in stations and cities of the Honam HSR line in Korea, based on mobile phone data recorded one year before and after its opening. We analyzed the volume of the population observed at each railway station, density of the distance between home and station, and activity hotspots in a city. The results show that the number of people and travel distance increased after the opening of the HSR. The distance to access railway stations increased, as the HSR saves travel time. Moreover, the activity hotspots in a city increased after the opening of the HSR, as more people gathered near the station area. The findings show that the mobility measures enhanced after the opening of the HSR for regional travel and local activities. These measures can help transit agencies and planners in providing better intercity travel.

scholarly journals Genomics, social media and mobile phone data enable mapping of SARS-CoV-2 lineages to inform health policy in Bangladesh

2021 ◽  
Author(s):  
Lauren A. Cowley ◽  
Mokibul Hassan Afrad ◽  
Sadia Isfat Ara Rahman ◽  
Md Mahfuz Al Mamun ◽  
Taylor Chin ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Rural Areas ◽  
National Level ◽  
Control Measures ◽  
Mobile Phone Data ◽  
Population Mobility ◽  
Spatial Spread ◽  
Mobility Data ◽  
Mass Migration ◽  
First Case

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.

scholarly journals Call Your Leader: Does the Mobile Phone Affect Policymaking?

2018 ◽  
Author(s):  
Jahen Fachrul Rezki
Keyword(s):  
Civic Engagement ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Rural Areas ◽  
Signal Strength ◽  
Lightning Strike ◽  
Rural People ◽  
Information And Communication ◽  
The Impact ◽  
The Village

This paper analyses the impact of Information and Communication Technology (ICT) on policymaking on an Indonesian Village level. In this study, I use data from different waves of the Indonesian Village Potential Statistics (Potensi Desa) to determine whether mobile phone signal strength affects village policies and civic engagement activities. The results indicate that villages with a strong signal are statistically more likely to possess the proper infrastructure and economic programs. Furthermore, mobile phones increase civic engagement, which is consistent with previous studies related to collective action or mass mobilisation. Using the plausibly exogenous variation of lightning strike intensity as the instrumental variable, this study suggests that higher mobile phone signal strength is positively associated with the policies implemented by the village head. This study also demonstrates that ICT has a stronger effect in rural areas. One possible explanation is that mobile phones improve the relative ability for rural people to interact with their leaders. Another potential answer is the fact that there are significant differences between rural village and urban village governments, which could also affect policymaking.

The Impact of Domestic Remittances on Left-Behind Older People in Vietnam

2016 ◽  
pp. 30-40
Author(s):  
Cong Nguyen Van ◽  
Truc Tran Thi
Keyword(s):  
Older People ◽  
Rural Areas ◽  
Urban Areas ◽  
Social Protection ◽  
Well Being ◽  
Living Standard ◽  
Logistic Regression Models ◽  
Gini Coefficients ◽  
Per Capita ◽  
The Impact

In the context of an insufficient social protection system the economic lives of older people, especially those living in rural areas, are greatly changed with socio-economic risks that are associated with the strong rural-urban mobility of younger generations. This paper aims to investigate the impacts on the economic well-being of old-age parents of domestic remittances, sent by their children who have migrated from rural to urban areas. Using data from the Vietnam Household Living Standard Survey (VHLSS) in 2004, 2008 and 2012 with logistic regression models, we found that domestic remittances played an essential role in improving income/ expenditure per capita and reducing poverty rates of older people’s households. Domestic remittances also contributed to reduce Gini coefficients, which were calculated using both income and expenditure per capita.

scholarly journals Evaluating the Impact of Land-Use Density and Mix on Spatiotemporal Urban Activity Patterns: An Exploratory Study Using Mobile Phone Data

2014 ◽  
Vol 46 (11) ◽  
pp. 2769-2785 ◽  
Author(s):  
Chris Jacobs-Crisioni ◽  
Piet Rietveld ◽  
Eric Koomen ◽  
Emmanouil Tranos
Keyword(s):  
Land Use ◽  
Mobile Phone ◽  
Urban Areas ◽  
Urban Land Use ◽  
Mobile Phone Data ◽  
Activity Levels ◽  
Land Uses ◽  
Urban Neighbourhoods ◽  
The Impact ◽  
Urban Activity

Dense and mixed land-use configurations are assumed to encourage high and prolonged activity levels, which in turn are considered to be important for the condition of urban neighbourhoods. We used mobile phone usage data recorded in Amsterdam, the Netherlands, as a proxy for urban activity to test whether the density in different forms of urban land use increases the level of activity in urban areas, and whether mixed land uses can prolong high levels of activity in an area. Our results indicate that higher densities correspond with higher activity levels, mixed land uses do indeed diversify urban activity dynamics and colocating particular land uses prolongs high activity levels in the evening hours. We proceed to demonstrate that mixed activity provisions and high urban activity levels coincide with urban neighbourhoods that are considered attractive places in which to live and work, while lower activity levels and markedly low activity mixes coincide with neighbourhoods that are considered disadvantaged.

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