scholarly journals An analysis on older driver's driving behavior by GPS tracking data: Road selection, left/right turn, and driving speed

2018 ◽  
Vol 5 (1) ◽  
pp. 56-65 ◽  
Author(s):  
Yanning Zhao ◽  
Toshiyuki Yamamoto ◽  
Takayuki Morikawa
Keyword(s):  
Driving Behavior ◽  
Gps Tracking ◽  
Tracking Data ◽  
Driving Speed

scholarly journals A Pilot Study on Home Range and Habitat Use of Chinese Goral (Naemorhedus Griseus): Exploring GPS Tracking Data in Cliff Landscape by Three Estimation Methods

2021 ◽  
Author(s):  
yang teng ◽  
Shupei TANG ◽  
lai heda meng ◽  
Liji Wu ◽  
Zhiqing HAN ◽  
...  
Keyword(s):  
Home Range ◽  
Habitat Use ◽  
Estimation Methods ◽  
Conservation Strategies ◽  
Gps Tracking ◽  
Tracking Data ◽  
Size Estimation ◽  
Range Estimation ◽  
Lower Altitude ◽  
Effective Conservation

Abstract Home range size estimation is a crucial basis for developing effective conservation strategies and provides important insights into animal behavior and ecology. This study aimed at analyzing the home range variations, the influence of altitude in habitat selection, and comparing three methods in home range estimation of Chinese gorals (Naemorhedus griseus) living at a cliff landscape. The results indicated that there were significant differences between the annual home range sizes of individual animals but there was no difference in their seasonal home range sizes based on GPS tracking data of five female Chinese gorals from February 2015 to September 2018. The monthly home ranges decreased dramatically in May, June and July due to birth-giving. Notable seasonal variations were found in the micro-habitats of the Chinese gorals, as reflected by the altitude they inhabit, with higher altitude habitats used in spring and lower altitude habitats used in winter. Additionally, the altitude of monthly habitats was lowest in January, which may indicate an adaptation to low air temperature. We also found differences between estimation methods, namely minimum convex polygon (MCP), kernel density estimation (KDE) and α-local convex hull (α-LoCoH), with seasonal home range sizes derived from α-LoCoH being substantially smaller than those derived from MCP and KDE. In conclusion, our findings filled the gaps in home range study for this endangered species and contributed to effective conservation strategies. Considerations shall have to be given to the variations in home range estimation caused by different methods when dealing with rugged habitats, so as to make sure that any interpretation concerning the habitat use of the targeted species made on basis of such results would be meaningful and valid.

scholarly journals Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data

2012 ◽  
Vol 452 ◽  
pp. 253-267 ◽  
Author(s):  
AC Dragon ◽  
A Bar-Hen ◽  
P Monestiez ◽  
C Guinet
Keyword(s):  
Comparative Analysis ◽  
Gps Tracking ◽  
Tracking Data

scholarly journals A Pilot Study on Home Range and Habitat Use of Chinese Goral (Naemorhedus Griseus): Exploring GPS Tracking Data in Cliff Landscape by Three Estimation Methods

2021 ◽  
Author(s):  
Yang Teng ◽  
Shupei TANG ◽  
Dalai Menghe ◽  
Liji Wu ◽  
Zhiqing HAN ◽  
...  
Keyword(s):  
Home Range ◽  
Habitat Use ◽  
Estimation Methods ◽  
Conservation Strategies ◽  
Gps Tracking ◽  
Tracking Data ◽  
Size Estimation ◽  
Range Estimation ◽  
Lower Altitude ◽  
Effective Conservation

Abstract Home range size estimation is a crucial basis for developing effective conservation strategies and provides important insights into animal behavior and ecology. This study aimed at analyzing the home range variations, the influence of altitude in habitat selection, and comparing three methods in home range estimation of Chinese gorals (Naemorhedus griseus) living at a cliff landscape. The results indicated that there were significant differences between the annual home range sizes of individual animals but there was no difference in their seasonal home range sizes based on GPS tracking data of five female Chinese gorals from February 2015 to September 2018. The monthly home ranges decreased dramatically in May, June and July due to birth-giving. Notable seasonal variations were found in the micro-habitats of the Chinese gorals, as reflected by the altitude they inhabit, with higher altitude habitats used in spring and lower altitude habitats used in winter. Additionally, the altitude of monthly habitats was lowest in January, which may indicate an adaptation to low air temperature. We also found differences between estimation methods, namely minimum convex polygon (MCP), kernel density estimation (KDE) and α-local convex hull (α-LoCoH), with seasonal home range sizes derived from α-LoCoH being substantially smaller than those derived from MCP and KDE. In conclusion, our findings filled the gaps in home range study for this endangered species and contributed to effective conservation strategies. Considerations shall have to be given to the variations in home range estimation caused by different methods when dealing with rugged habitats, so as to make sure that any interpretation concerning the habitat use of the targeted species made on basis of such results would be meaningful and valid.

Mobilities and commons unseen: spatial mobility in homeless people explored through the analysis of GPS tracking data

GeoJournal ◽  
2019 ◽  
Vol 85 (5) ◽  
pp. 1411-1427 ◽  
Author(s):  
Martin Šimon ◽  
Petr Vašát ◽  
Hana Daňková ◽  
Petr Gibas ◽  
Markéta Poláková
Keyword(s):  
Homeless People ◽  
Gps Tracking ◽  
Tracking Data ◽  
Spatial Mobility

scholarly journals Predicting Driver Behavior Using Field Experiment Data and Driving Simulator Experiment Data: Assessing Impact of Elimination of Stop Regulation at Railway Crossings

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Toshihisa Sato ◽  
Motoyuki Akamatsu ◽  
Toru Shibata ◽  
Shingo Matsumoto ◽  
Naoki Hatakeyama ◽  
...  
Keyword(s):  
Field Experiments ◽  
Driving Simulator ◽  
Driver Behavior ◽  
Assessment Method ◽  
Driving Behavior ◽  
Experiment Data ◽  
Driving Speed ◽  
Railway Crossing ◽  
The Impact ◽  
Lead Vehicle

We investigated the impact of deregulating the presence of stop signs at railway crossings on car driver behavior. We estimated the probability that a driver would stop inside the crossing, thereby obstructing the tracks, when a lead vehicle suddenly stopped after the crossing and a stop regulation was eliminated. We proposed a new assessment method of the driving behavior as follows: first, collecting driving behavior data in a driving simulator and in a real road environment; then, predicting the probability based on the collected data. In the simulator experiment, we measured the distances between a lead vehicle and the driver’s vehicle and the driver’s response time to the deceleration of the leading vehicle when entering the railway crossing. We investigated the influence of the presence of two leading vehicles on the driver’s vehicle movements. The deceleration data were recorded in the field experiments. Slower driving speed led to a higher probability of stopping inside the railway crossing. The probability was higher when the vehicle in front of the leading vehicle did not slow down than when both the lead vehicle and the vehicle in front of it slowed down. Finally, advantages of our new assessment method were discussed.

scholarly journals Driving Behavior and mileage with the Incidence of ISPA in Students UNAIR Surabaya

2017 ◽  
Vol 4 (3) ◽  
pp. 371
Author(s):  
Rezkha Mala Ludyaningrum
Keyword(s):  
Respiratory Infection ◽  
Acute Respiratory Infection ◽  
Motor Vehicle ◽  
Sampling Technique ◽  
Driving Behavior ◽  
Vehicle Exhaust ◽  
Chi Square ◽  
Driving Speed ◽  
Chi Square Test ◽  
The Relationship

Productive lifes short by health problems cause inhaling dirty air generate from motor vehicle exhaust emissions. Transport activities generate air pollutants that lead to the onset of disease Acute Respiratory Infection (ARI). The purpose of this study is to analyze the relationship between driving behavior and mileage with ARI at Airlangga University students. This research was an observational analytic study and case control design. The sample size in this study was 44 people for each group of cases and controls with systematic random sampling technique. To determine the relationship and odd ratio, the study used statistical Chi Square test. The results showed that there was a relationship between driving behavior consists of the used of PPE (p = 0.008), speed drive (p = 0.001), and the distance (p = 0.001) with ARI. Respondents who never wore PPE might increase that risk of acute respiratory infection 2.6 times compared with respondents who always wear PPE. Driving speed of <60 km/hours had 5.4 times the risk of developing ARI than respondents with speed >60 km/hours. Mileage ≥5 km had 5.156 times the risk of acute respiratory infection compared with respondents mileage <5km. It was concluded that driving behavior and mileage associated with ARI. It is recommended that officers PLK Airlangga University type C provide brochures, free masks, and held a car free day to students with the aim of reducing the incidence of ARI. Keywords: Driving Behavior, Mileage, and ARI

scholarly journals Driving Behavior and mileage with the Incidence of ISPA in Students UNAIR Surabaya

2017 ◽  
Vol 4 (3) ◽  
pp. 371
Author(s):  
Rezkha Mala Ludyaningrum
Keyword(s):  
Respiratory Infection ◽  
Acute Respiratory Infection ◽  
Motor Vehicle ◽  
Sampling Technique ◽  
Driving Behavior ◽  
Vehicle Exhaust ◽  
Chi Square ◽  
Driving Speed ◽  
Chi Square Test ◽  
The Relationship

Productive lifes short by health problems cause inhaling dirty air generate from motor vehicle exhaust emissions. Transport activities generate air pollutants that lead to the onset of disease Acute Respiratory Infection (ARI). The purpose of this study is to analyze the relationship between driving behavior and mileage with ARI at Airlangga University students. This research was an observational analytic study and case control design. The sample size in this study was 44 people for each group of cases and controls with systematic random sampling technique. To determine the relationship and odd ratio, the study used statistical Chi Square test. The results showed that there was a relationship between driving behavior consists of the used of PPE (p = 0.008), speed drive (p = 0.001), and the distance (p = 0.001) with ARI. Respondents who never wore PPE might increase that risk of acute respiratory infection 2.6 times compared with respondents who always wear PPE. Driving speed of <60 km/hours had 5.4 times the risk of developing ARI than respondents with speed >60 km/hours. Mileage ≥5 km had 5.156 times the risk of acute respiratory infection compared with respondents mileage <5km. It was concluded that driving behavior and mileage associated with ARI. It is recommended that officers PLK Airlangga University type C provide brochures, free masks, and held a car free day to students with the aim of reducing the incidence of ARI. Keywords: Driving Behavior, Mileage, and ARI

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