To reduce the risk of traffic accidents significantly caused by the speeding behavior of electric bicycles,this study focuses on the Beijing Yizhuang Economic and Tech-nological Development Zone.This work relies on hi...To reduce the risk of traffic accidents significantly caused by the speeding behavior of electric bicycles,this study focuses on the Beijing Yizhuang Economic and Tech-nological Development Zone.This work relies on high-precision shared electric bicycle Global Positioning System trajectory data,integrating a spatiotemporal analysis model and geographic information system(GIS)technol-ogy to explore the spatial and temporal variability law and formation mechanism of speeding behavior.Through data preprocessing,speeding events are identified,and weekday features are extracted.Four periods are identified:morning peak,midday minipeak,evening peak,and nighttime flat peak.Using the GIS platform,global spatial autocorrela-tion and local clustering analysis are conducted to identify the spatial clustering characteristics of speeding behaviors and hotspot areas.The coldspot and hotspot patterns of speeding events and the dynamic trajectories of their evolu-tion are analyzed using spatiotemporal cube technology.The results show that speeding behaviors are strongly corre-lated with the commuting peak in time and spatially concen-trated in the intersections of urban main roads,the periphery of commercial complexes,and industrial parks,with a dif-fusion tendency.The results of this study provide novel in-sights into the research and analysis of the spatial and tempo-ral characteristics of speeding risk behaviors of electric bi-cycles and effective technical support for nonmotorized traf-fic safety management.展开更多
Purpose–This study aims to explore the relationship between speed behavior of participants and driving styles on interchange ramps.A spiral interchange in Chongqing was selected as an experimental road to carry outfie...Purpose–This study aims to explore the relationship between speed behavior of participants and driving styles on interchange ramps.A spiral interchange in Chongqing was selected as an experimental road to carry outfield driving experiment.Design/methodology/approach–The continuous operating speed during experiment was selected by Mobile Eye,and the driving style was selected via two inventories.Findings–Different driving behaviors showed great differences in age,driving mileage and driving experience.During driving process,male pursued driving stimulation more,whereas female pursued driving steadiness more.Therefore,driving characteristics of male were more disadvantageous to driving safety than that of female.Except for the large speed difference at the entrance and exit of the ramps,the differences at other positions were small.And the operating speed of male was slightly higher than that of female.The difference between different genders at the ascending end position achieved 4–5 kph,and the difference at other feature points were mostly 1–2 kph.During driving process,risky participants were more likely to pursue driving stimulation,and the poor speed control behavior was reflected in wide range of desired operating speed.Based on the results of analyzing at feature points,melancholy and sanguine participants more tended to take a high operating speed,and the poor speed control behavior was reflected in the most widely desired speed range.The speed control behavior of mixed participants was more cautious.Originality/value–Advanced driving assistance system combined with two inventories was used to explore difference of speed behavior.展开更多
基金The National Natural Science Foundation of China(No. 52072012)。
文摘To reduce the risk of traffic accidents significantly caused by the speeding behavior of electric bicycles,this study focuses on the Beijing Yizhuang Economic and Tech-nological Development Zone.This work relies on high-precision shared electric bicycle Global Positioning System trajectory data,integrating a spatiotemporal analysis model and geographic information system(GIS)technol-ogy to explore the spatial and temporal variability law and formation mechanism of speeding behavior.Through data preprocessing,speeding events are identified,and weekday features are extracted.Four periods are identified:morning peak,midday minipeak,evening peak,and nighttime flat peak.Using the GIS platform,global spatial autocorrela-tion and local clustering analysis are conducted to identify the spatial clustering characteristics of speeding behaviors and hotspot areas.The coldspot and hotspot patterns of speeding events and the dynamic trajectories of their evolu-tion are analyzed using spatiotemporal cube technology.The results show that speeding behaviors are strongly corre-lated with the commuting peak in time and spatially concen-trated in the intersections of urban main roads,the periphery of commercial complexes,and industrial parks,with a dif-fusion tendency.The results of this study provide novel in-sights into the research and analysis of the spatial and tempo-ral characteristics of speeding risk behaviors of electric bi-cycles and effective technical support for nonmotorized traf-fic safety management.
文摘Purpose–This study aims to explore the relationship between speed behavior of participants and driving styles on interchange ramps.A spiral interchange in Chongqing was selected as an experimental road to carry outfield driving experiment.Design/methodology/approach–The continuous operating speed during experiment was selected by Mobile Eye,and the driving style was selected via two inventories.Findings–Different driving behaviors showed great differences in age,driving mileage and driving experience.During driving process,male pursued driving stimulation more,whereas female pursued driving steadiness more.Therefore,driving characteristics of male were more disadvantageous to driving safety than that of female.Except for the large speed difference at the entrance and exit of the ramps,the differences at other positions were small.And the operating speed of male was slightly higher than that of female.The difference between different genders at the ascending end position achieved 4–5 kph,and the difference at other feature points were mostly 1–2 kph.During driving process,risky participants were more likely to pursue driving stimulation,and the poor speed control behavior was reflected in wide range of desired operating speed.Based on the results of analyzing at feature points,melancholy and sanguine participants more tended to take a high operating speed,and the poor speed control behavior was reflected in the most widely desired speed range.The speed control behavior of mixed participants was more cautious.Originality/value–Advanced driving assistance system combined with two inventories was used to explore difference of speed behavior.
