Population Mobility Modeling Based on Call Detail Records of Mobile Phones for Heat Exposure Assessment in Dhaka, Bangladesh

2018 ◽  
pp. 29-42
Author(s):  
Shinya Yasumoto ◽  
Chiho Watanabe ◽  
Ayumi Arai ◽  
Ryosuke Shibasaki ◽  
Kei Oyoshi
Keyword(s):  
Exposure Assessment ◽  
Mobile Phones ◽  
Heat Exposure ◽  
Population Mobility ◽  
Mobility Modeling ◽  
Call Detail Records

scholarly journals Heat exposure assessment based on individual daily mobility patterns in Dhaka, Bangladesh

2019 ◽  
Vol 77 ◽  
pp. 101367
Author(s):  
Shinya Yasumoto ◽  
Andrew P. Jones ◽  
Kei Oyoshi ◽  
Hiroshi Kanasugi ◽  
Yoshihide Sekimoto ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Heat Exposure ◽  
Mobility Patterns ◽  
Daily Mobility

scholarly journals MobRISK: a model for assessing the exposure of road users to flash flood events

2017 ◽  
Vol 17 (9) ◽  
pp. 1631-1651 ◽  
Author(s):  
Saif Shabou ◽  
Isabelle Ruin ◽  
Céline Lutoff ◽  
Samuel Debionne ◽  
Sandrine Anquetin ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Flash Flood ◽  
Activity Patterns ◽  
Traffic Load ◽  
Road User ◽  
Population Exposure ◽  
Flood Events ◽  
Population Mobility ◽  
Road Users ◽  
Adverse Weather

Abstract. Recent flash flood impact studies highlight that road networks are often disrupted due to adverse weather and flash flood events. Road users are thus particularly exposed to road flooding during their daily mobility. Previous exposure studies, however, do not take into consideration population mobility. Recent advances in transportation research provide an appropriate framework for simulating individual travel-activity patterns using an activity-based approach. These activity-based mobility models enable the prediction of the sequence of activities performed by individuals and locating them with a high spatial–temporal resolution. This paper describes the development of the MobRISK microsimulation system: a model for assessing the exposure of road users to extreme hydrometeorological events. MobRISK aims at providing an accurate spatiotemporal exposure assessment by integrating travel-activity behaviors and mobility adaptation with respect to weather disruptions. The model is applied in a flash-flood-prone area in southern France to assess motorists' exposure to the September 2002 flash flood event. The results show that risk of flooding mainly occurs in principal road links with considerable traffic load. However, a lag time between the timing of the road submersion and persons crossing these roads contributes to reducing the potential vehicle-related fatal accidents. It is also found that sociodemographic variables have a significant effect on individual exposure. Thus, the proposed model demonstrates the benefits of considering spatiotemporal dynamics of population exposure to flash floods and presents an important improvement in exposure assessment methods. Such improved characterization of road user exposures can present valuable information for flood risk management services.

scholarly journals MobRISK: A model for assessing the exposure of road users to flash flood events

2017 ◽  
Author(s):  
Saif Shabou ◽  
Isabelle Ruin ◽  
Céline Lutoff ◽  
Samuel Debionne ◽  
Sandrine Anquetin ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Flash Flood ◽  
Activity Patterns ◽  
Traffic Load ◽  
Road User ◽  
Population Exposure ◽  
Flood Events ◽  
Population Mobility ◽  
Road Users ◽  
Adverse Weather

Abstract. Recent flash flood impact studies highlight that road network is often disrupted due to adverse weather and flash flood events. Road users are thus particularly exposed to road flooding during their daily mobility. Previous exposure analysis studies, however, don't take into consideration population mobility. Recent advances in transportation research provide an appropriate framework for simulating individual travel-activity patterns using activity-based approach. These activity-based mobility models enable to predict the sequence of activities performed by individuals and locate them with a high spatial-temporal resolution. This paper describes the development of MobRISK modelling system: a model for assessing the exposure of road users to extreme hydro-meteorological events. MobRISK aims at providing an accurate spatiotemporal exposure assessment by integrating travel-activity behaviors and mobility adaptation with respect to weather disruptions. The model is applied in a flash flood prone area in Southern France to assess motorists' exposure to September 2002 flash flood event. The results show that risk of flooding is mainly located in principal road links with considerable traffic load. However, a lag time between the timing of the road submersion and persons crossing these roads contributes to reduce the potential vehicle-related fatal accidents. It is also found that socio-demographic variables have significant effect on individual exposure. Thus, the proposed model demonstrates the benefits of considering spatiotemporal dynamics of population exposure to flash floods and presents an important improvement in exposure assessment methods. Such improved characterization of road user exposures can present valuable information for flood risk management services.

scholarly journals Do Mobile Phones Help Expand Social Capital? An Empirical Case Study

2020 ◽  
Vol 8 (2) ◽  
pp. 168-179 ◽  
Author(s):  
Alain Shema ◽  
Martha Garcia-Murillo
Keyword(s):  
Social Capital ◽  
Mobile Phones ◽  
Basic Function ◽  
Middle Income ◽  
Management Technology ◽  
Communication Devices ◽  
Calling Patterns ◽  
Call Detail Records

The rapid adoption of mobile phones, particularly in developing countries, has led a number of researchers to investigate their impact on socioeconomic activity in the developing world. However, until the recent advent of smart communication devices, mobile phones were primarily a relations management technology that enabled people to stay connected with each other. In this article, we focus on this basic function and analyze how people use this technology as a tool to expand their social capital. We use a dataset containing more than three billion call detail records from Rwanda’s largest telecommunication operator, covering the whole country during the period from 1 July 2014 to 31 March 2015, and combine these records with data from the fourth Integrated Household Living Conditions Survey conducted by the National Institute of Statistics of Rwanda in 2015. We found that people’s calling patterns significantly correlated with the income level of their region, which also dictated the destinations of their calls, with middle-income regions acting as a link between the richest and the poorest regions. From these results, we propose a framework for understanding the role of mobile phones in the development of social capital.

scholarly journals Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK

2020 ◽  
Vol 5 ◽  
pp. 170 ◽  
Author(s):  
Benjamin Jeffrey ◽  
Caroline E. Walters ◽  
Kylie E. C. Ainslie ◽  
Oliver Eales ◽  
Constanze Ciavarella ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
High Density ◽  
Rapid Decline ◽  
Population Mobility ◽  
Mobility Patterns ◽  
Social Distancing ◽  
Level Data ◽  
The Uk ◽  
The Impact

Background: Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which have resulted in reduced mobility across different regions. Crowd level data on mobile phone usage can be used as a proxy for actual population mobility patterns and provide a way of quantifying the impact of social distancing measures on changes in mobility. Methods: Here, we use two mobile phone-based datasets (anonymised and aggregated crowd level data from O2 and from the Facebook app on mobile phones) to assess changes in average mobility, both overall and broken down into high and low population density areas, and changes in the distribution of journey lengths. Results: We show that there was a substantial overall reduction in mobility, with the most rapid decline on the 24th March 2020, the day after the Prime Minister’s announcement of an enforced lockdown. The reduction in mobility was highly synchronized across the UK. Although mobility has remained low since 26th March 2020, we detect a gradual increase since that time. We also show that the two different datasets produce similar trends, albeit with some location-specific differences. We see slightly larger reductions in average mobility in high-density areas than in low-density areas, with greater variation in mobility in the high-density areas: some high-density areas eliminated almost all mobility. Conclusions: These analyses form a baseline from which to observe changes in behaviour in the UK as social distancing is eased and inform policy towards the future control of SARS-CoV-2 in the UK.

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