scholarly journals Modelling long-distance route choice using mobile phone call detail record data: a case study of Senegal

2019 ◽  
Vol 15 (2) ◽  
pp. 1543-1568 ◽  
Author(s):  
Andrew Bwambale ◽  
Charisma Choudhury ◽  
Stephane Hess
2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Andrew J Tatem ◽  
Zhuojie Huang ◽  
Clothilde Narib ◽  
Udayan Kumar ◽  
Deepika Kandula ◽  
...  

Radiocarbon ◽  
2021 ◽  
pp. 1-21
Author(s):  
Chris Urwin ◽  
Quan Hua ◽  
Henry Arifeae

ABSTRACT When European colonists arrived in the late 19th century, large villages dotted the coastline of the Gulf of Papua (southern Papua New Guinea). These central places sustained long-distance exchange and decade-spanning ceremonial cycles. Besides ethnohistoric records, little is known of the villages’ antiquity, spatiality, or development. Here we combine oral traditional and 14C chronological evidence to investigate the spatial history of two ancestral village sites in Orokolo Bay: Popo and Mirimua Mapoe. A Bayesian model composed of 35 14C assays from seven excavations, alongside the oral traditional accounts, demonstrates that people lived at Popo from 765–575 cal BP until 220–40 cal BP, at which time they moved southwards to Mirimua Mapoe. The village of Popo spanned ca. 34 ha and was composed of various estates, each occupied by a different tribe. Through time, the inhabitants of Popo transformed (e.g., expanded, contracted, and shifted) the village to manage social and ceremonial priorities, long-distance exchange opportunities and changing marine environments. Ours is a crucial case study of how oral traditional ways of understanding the past interrelate with the information generated by Bayesian 14C analyses. We conclude by reflecting on the limitations, strengths, and uncertainties inherent to these forms of chronological knowledge.


2021 ◽  
Vol 157 ◽  
pp. 106132
Author(s):  
Arslan Jamil ◽  
Saadia Tabassum ◽  
Muhammad Waqas Younis ◽  
Ammad Hassan Khan ◽  
Zia ur Rehman ◽  
...  

Author(s):  
Zhenghong Peng ◽  
Guikai Bai ◽  
Hao Wu ◽  
Lingbo Liu ◽  
Yang Yu

Obtaining the time and space features of the travel of urban residents can facilitate urban traffic optimization and urban planning. As traditional methods often have limited sample coverage and lack timeliness, the application of big data such as mobile phone data in urban studies makes it possible to rapidly acquire the features of residents’ travel. However, few studies have attempted to use them to recognize the travel modes of residents. Based on mobile phone call detail records and the Web MapAPI, the present study proposes a method to recognize the travel mode of urban residents. The main processes include: (a) using DBSCAN clustering to analyze each user’s important location points and identify their main travel trajectories; (b) using an online map API to analyze user’s means of travel; (c) comparing the two to recognize the travel mode of residents. Applying this method in a GIS platform can further help obtain the traffic flow of various means, such as walking, driving, and public transit, on different roads during peak hours on weekdays. Results are cross-checked with other data sources and are proven effective. Besides recognizing travel modes of residents, the proposed method can also be applied for studies such as travel costs, housing–job balance, and road traffic pressure. The study acquires about 6 million residents’ travel modes, working place and residence information, and analyzes the means of travel and traffic flow in the commuting of 3 million residents using the proposed method. The findings not only provide new ideas for the collection and application of urban traffic information, but also provide data support for urban planning and traffic management.


2007 ◽  
Vol 16 (18) ◽  
pp. 3801-3813 ◽  
Author(s):  
STÉPHANE FÉNART ◽  
FRÉDÉRIC AUSTERLITZ ◽  
JOËL CUGUEN ◽  
JEAN-FRANÇOIS ARNAUD

2021 ◽  
Vol 3 (1) ◽  
pp. 214-223
Author(s):  
Yuke Armika ◽  
Nerseri Barus

Chronic kidney disease (CKD) is a condition in which there is a gradual decline in kidney function. This disease is progressive and usually irreversible. Indications for hospitalized CKD patients with severe complications and do not allow inpatient therapy. This study was aimed to describe the overview and management of chronic kidney disease inpatient in Royal Prima General Hospital Medan. The type of research used is research with a descriptive and retrospective case study design. This study is based on medical record data related to inpatient CKD patients' diagnostic and management features at the Royal Prima General Hospital Medan in 2020. The research subjects were all inpatients diagnosed with CKD, whereas 100 research subjects with complete medical records were included in this study. It was found that the highest age group was 57-65 years, as much as 37.0%, and men as much as 27%. The chief complaint was shortness of breath at 43% and additional complaints, the most of which were fever + low back pain + edema at 38%. On physical examination, most of the inspections were weak, 55%. Most palpation was sociable 57%. There was auscultation of four abdominal regions and normal positive bowel sounds (93%). Complete blood count + blood sugar level + electrolytes + urea + creatinine 70%, the most combination medication is NaCl 0.9% + Furosemide injection 31%. Based on the length of stay, the longest was 13-14 days (20%).


Sign in / Sign up

Export Citation Format

Share Document