Ambient Population and Larceny-Theft: A Spatial Analysis Using Mobile Phone Data
نویسندگان
چکیده
منابع مشابه
Dynamic population mapping using mobile phone data.
During the past few decades, technologies such as remote sensing, geographical information systems, and global positioning systems have transformed the way the distribution of human population is studied and modeled in space and time. However, the mapping of populations remains constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, ...
متن کاملTracking Employment Shocks Using Mobile Phone Data
Can data from mobile phones be used to observe economic shocks and their consequences at multiple scales? Here we present novel methods to detect mass layoffs, identify individuals affected by them and predict changes in aggregate unemployment rates using call detail records (CDRs) from mobile phones. Using the closure of a large manufacturing plant as a case study, we first describe a structur...
متن کاملUsing Mobile Phone Applications in Teaching and Learning Process
This quantitative, qualitative study investigates the usage of mobile phone applications in teaching and learning processes. The study aims to identify the benefits, difficulties, and resolutions of using mobile phone applications. The study was conducted in the English Department at Hebron University at the second semester of the academic years 2015/2016. The study focuses on the Business Engl...
متن کاملA Framework for Spatial Interaction Analysis Based on Large-Scale Mobile Phone Data
The overall understanding of spatial interaction and the exact knowledge of its dynamic evolution are required in the urban planning and transportation planning. This study aimed to analyze the spatial interaction based on the large-scale mobile phone data. The newly arisen mass dataset required a new methodology which was compatible with its peculiar characteristics. A three-stage framework wa...
متن کاملUnveiling Spatial Epidemiology of HIV with Mobile Phone Data
An increasing amount of geo-referenced mobile phone data enables the identification of behavioral patterns, habits and movements of people. With this data, we can extract the knowledge potentially useful for many applications including the one tackled in this study - understanding spatial variation of epidemics. We explored the datasets collected by a cell phone service provider and linked them...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ISPRS International Journal of Geo-Information
سال: 2020
ISSN: 2220-9964
DOI: 10.3390/ijgi9060342