scholarly journals Investigating Activity Patterns and Time Spent for Exposure Assessment of College Buildings in Korea

2014 ◽  
Vol 32 ◽  
pp. 756-761 ◽  
Author(s):  
Jin Ki Eom ◽  
Kwang Sub Lee ◽  
Dae-seop Moon ◽  
Duckshin Park ◽  
Keun Yul Yang
Keyword(s):  
Exposure Assessment ◽  
Activity Patterns

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 Effects of Individual and Environmental Factors on GPS-Based Time Allocation in Urban Microenvironments Using GIS

2018 ◽  
Vol 8 (10) ◽  
pp. 2007 ◽  
Author(s):  
Audrius Dėdelė ◽  
Auksė Miškinytė ◽  
Irma Česnakaitė ◽  
Regina Gražulevičienė
Keyword(s):  
Environmental Factors ◽  
Exposure Assessment ◽  
Time Allocation ◽  
Activity Patterns ◽  
Personal Exposure ◽  
Health Impact ◽  
Individual Characteristics ◽  
Time Activity ◽  
Study Results ◽  
The Impact

Time-activity patterns are an essential part of personal exposure assessment to various environmental factors. People move through different environments during the day and they have different daily activity patterns which are significantly influenced by individual characteristics and the residential environment. In this study, time spent in different microenvironments (MEs) were assessed for 125 participants for 7 consecutive days to evaluate the impact of individual characteristics on time-activity patterns in Kaunas, Lithuania. The data were collected with personal questionnaires and diaries. The global positioning system (GPS) sensor integrated into a smartphone was used to track daily movements and to assess time-activity patterns. The study results showed that behavioral and residential greenness have a statistically significant impact on time spent indoors. These results underline the high influence of the individual characteristics and environmental factors on time spent indoors, which is an important determinant for exposure assessment and health impact assessment studies.

Daily Activity Patterns and Time Spent for Exposure Assessment:

2013 ◽  
Vol 2013 (1) ◽  
pp. 3480
Author(s):  
Jin Ki Eom ◽  
Duck Shin Park ◽  
Keun Yul Yang ◽  
Kiyoung Lee ◽  
Ki Chul Cho
Keyword(s):  
Exposure Assessment ◽  
Daily Activity ◽  
Activity Patterns ◽  
Daily Activity Patterns

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.

Exposure assessment on the relationship between daily activity patterns and indoor air quality in university buildings

2013 ◽  
Vol 2013 (1) ◽  
pp. 4775
Author(s):  
Duck Shin Park ◽  
Jin Ki Eom ◽  
Keun Yul Yang ◽  
Soon-Bark Kwon ◽  
Wootae Jeong ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Exposure Assessment ◽  
Indoor Air ◽  
Daily Activity ◽  
Activity Patterns ◽  
University Buildings ◽  
The Relationship ◽  
Daily Activity Patterns

Predicting spatial activity patterns in a neural map from a probabilistic atlas of 3-D reconstructed neurons

1995 ◽  
Vol 53 ◽  
pp. 812-813
Author(s):  
G. Jacobs ◽  
F. Theunissen
Keyword(s):  
Activity Patterns ◽  
Three Dimensional ◽  
Sensory System ◽  
Neural System ◽  
Probabilistic Atlas ◽  
Uniform Sample ◽  
Dimensional Reconstruction ◽  
The Time Domain ◽  
And Function ◽  
Visualization Techniques

In order to understand how the algorithms underlying neural computation are implemented within any neural system, it is necessary to understand details of the anatomy, physiology and global organization of the neurons from which the system is constructed. Information is represented in neural systems by patterns of activity that vary in both their spatial extent and in the time domain. One of the great challenges to microscopists is to devise methods for imaging these patterns of activity and to correlate them with the underlying neuroanatomy and physiology. We have addressed this problem by using a combination of three dimensional reconstruction techniques, quantitative analysis and computer visualization techniques to build a probabilistic atlas of a neural map in an insect sensory system. The principal goal of this study was to derive a quantitative representation of the map, based on a uniform sample of afferents that was of sufficient size to allow statistically meaningful analyses of the relationships between structure and function.

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