Sidewalks play an indispensable role in creating walkable environments.In commercial districts,sidewalks increase connectivity and can enhance pedestrian volume,which promotes commerce.While past research has explored...Sidewalks play an indispensable role in creating walkable environments.In commercial districts,sidewalks increase connectivity and can enhance pedestrian volume,which promotes commerce.While past research has explored commercial factors affecting pedestrian behavior on sidewalks,few studies have explored the effects of architectural factors.This study centers on two sidewalks in commercial districts in Tokyo as a case study,seeking to elucidate the relationship between micro-scale built environment factors and pedestrian behavior.Nineteen factors are analyzed in relation to pedestrian volume and staying.Correlation analysis reveals that pedestrian volume and staying are significantly correlated with seven and six built environment factors,respectively.Stepwise multiple linear regression further reveals that pedestrian volume is positively correlated with passable width,W/D,and movable greening,while being negatively correlated with flagship.Staying,conversely,is positively correlated with passable width,sky rate,and D/H.Based on these identified relationships,a predictive model is established for pedestrian volumes in sidewalks in commercial districts.The findings of this study may provide workable insights for decision-makers aiming to establish walkable environments and encouraging pedestrian activity and may aid in developing detailed plans based on specific factors influencing pedestrian behavior.展开更多
This research provides a mixed method of investigating and analyzing pedestrian behavior in pedestrianized areas,which is one of the human-based urban development practices.The relationship between pedestrian behavior...This research provides a mixed method of investigating and analyzing pedestrian behavior in pedestrianized areas,which is one of the human-based urban development practices.The relationship between pedestrian behavior and perception of the city is discussed through a combination of architect and urban planner Gordon Cullen’s theory and Space Syntax methodology.This study examines the development and implementation of the methodology to understand the relationship between pedestrian behavior and space in Besiktas Koyici settlement,Istanbul.The methodology,integrated with on-site observations(observing 10 min at five different observation points in the settlement at predetermined times on weekdays and weekends),surveys(determining pedestrian movement and perception in terms of Cullen’s theory)and spatial configuration(Space Syntax analysis(connectivity,integrity)done with DepthMapX software),aims to analyze pedestrian behavior patterns.The concepts of sense of place and content,as well as the effects of their sub-concepts on their behaviors,were revealed because of a survey conducted with students and architects of variety of educational levels who are daily users of the field.Pedestrian counting and observations were used to create density,activity,and mobility maps of the area.It has been found that pedestrianized areas have a significant impact on pedestrian behavior through influencing vitality and appeal and that Cullen’s theory may be used to analyze pedestrian behavior and perceptions of the city.The study showed that spatial configuration and Cullen’s theory effect pedestrian movement by complementing each other.展开更多
Pedestrian evacuation is actually a process of behavioral evolution. Interaction behaviors between pedestrians affect not only the evolution of their cooperation strategy, but also their evacuation paths-scheduling an...Pedestrian evacuation is actually a process of behavioral evolution. Interaction behaviors between pedestrians affect not only the evolution of their cooperation strategy, but also their evacuation paths-scheduling and dynamics features. The existence of interaction behaviors and cooperation evolution is therefore critical for pedestrian evacuation. To address this issue, an extended cellular automaton(CA) evacuation model considering the effects of interaction behaviors and cooperation evolution is proposed here. The influence mechanism of the environment factor and interaction behaviors between neighbors on the decision-making of one pedestrian to path scheduling is focused. Average payoffs interacting with neighbors are used to represent the competitive ability of one pedestrian, aiming to solve the conflicts when more than one pedestrian competes for the same position based on a new method. Influences of interaction behaviors, the panic degree and the conflict cost on the evacuation dynamics and cooperation evolution of pedestrians are discussed. Simulation results of the room evacuation show that the interaction behaviors between pedestrians to a certain extent are beneficial to the evacuation efficiency and the formation of cooperation behaviors as well. The increase of conflict cost prolongs the evacuation time. Panic emotions of pedestrians are bad for cooperation behaviors of the crowd and have complex effects on evacuation time. A new self-organization effect is also presented.展开更多
In the context of banning gated communities, blocks returning to the human-oriented scale become the new normal, and pedestrian system design will be paid more attention in the urban planning field. Oct-Loft Creative ...In the context of banning gated communities, blocks returning to the human-oriented scale become the new normal, and pedestrian system design will be paid more attention in the urban planning field. Oct-Loft Creative Park is a template for open blocks in Shenzhen, with a convenient and humanized pedestrian system. This paper selects the creative park's pedestrian system as the research object, using the environment-behavior theory for analysis. Finally, optimization strategies of pedestrian system will be put forward.展开更多
Considering the interlayer height, luggage, the difference between queuing pedestrians, and walking speed, the pedestrian choice model of vertical walking facilities is established based on a support vector machine. T...Considering the interlayer height, luggage, the difference between queuing pedestrians, and walking speed, the pedestrian choice model of vertical walking facilities is established based on a support vector machine. This model is verified with the pedestrian flow data of Changchun light-rail transfer station and Beijing Xizhimen transfer station. Adding the pedestrian choice model of vertical walking facilities into the pedestrian simulation model which is based on cellular automata, the pedestrian choice behavior is simulated. In the simulation, the effects of the dynamic influence factors are analyzed. To reduce the conflicts between pedestrians in opposite directions, the layout of vertical walking facilities is improved. The simulations indicate that the improved layout of vertical walking facilities can improve the efficiency of pedestrians passing.展开更多
Simulation of pedestrians’behavior in the hub can help decision-makers to formulate better evacuation strategies.With this aim,this study develops an improved cellular automata model considering pedestrian’s mass-fo...Simulation of pedestrians’behavior in the hub can help decision-makers to formulate better evacuation strategies.With this aim,this study develops an improved cellular automata model considering pedestrian’s mass-following psychology and competitive awareness,and based on this model,pedestrian’s evacuation process from the channel of the hub with two exits is simulated.Moreover,dynamic guidance information,e.g.,the realtime congestion situation of the evacuation routes,plays an important role during pedestrian evacuation processes in a hub,as the evaluation routes can be adjusted based on this information.That is,the congestion situation during the evaluation can be improved.Thus,dynamic signs are incorporated into the proposed model to study the influence of dynamic guidance information on pedestrian evacuation behavior.In simulation experiments,the influence of two parameters,namely the proportion of pedestrians unfamiliar with the hub and update interval of dynamic signs,on pedestrian evacuation behavior is studied.Results show that dynamic guidance information can improve the efficiency of pedestrian evacuation.In particular,the higher the proportion of pedestrians unfamiliar with the hub is,the more obvious the effect of dynamic guidance information is.Besides,different proportions of pedestrians unfamiliar with the hub lead to different update intervals of dynamic signs.Finally,the results of this study can provide some implications to the practical hub operation and evacuation,e.g.,to standardize the order of evacuation routes and improve the information service level in the hub.展开更多
Due to the fact that there is no protected signal phase for right turns at most signalized intersections, the conflict between pedestrians and right-turning vehicles is one of the most common conflict types for pedest...Due to the fact that there is no protected signal phase for right turns at most signalized intersections, the conflict between pedestrians and right-turning vehicles is one of the most common conflict types for pedestrians. A pedestrian safety analysis of the common right-turn mode at four-phase signalized intersections is presented. Relative risk is used as a measure of the effect of behaviors. The analysis mainly includes five pedestrian factors that affect the conflict process between pedestrians and right-turning vehicles. Pedestrians tend to have a higher risk of being involved in conflicts in the following six situations: crossing with others, running over the crossing, entering the intersection, being near the exit lane, crossing in the middle or at the end of a green light when the right-turn lane is shared, crossing at the beginning of a green light or red period when the right-turn lane is exclusive. It is easier for pedestrians to get priority when crossing the street in the following situations: running over a crossing, entering the intersection, being near the entrance lane, and not using the crosswalk. However, pedestrians are more inclined to yield to right-turning vehicles when pedestrians are crossing in the middle of the green light time. Some measures to alleviate the conflict are put forward according to the conclusion. Video observations also indicate that a clear pedestrian waiting area must be marked for both pedestrian safety and right-turning vehicle efficiency at major flat intersections, particularly when the arms cover the lateral dividing strips.展开更多
目的在智能驾驶领域,准确预测行人穿越行为对于确保车辆和行人安全至关重要。方法设计了一种结合多种计算机视觉技术的行人穿越行为预测模型,该模型通过分析行人的位置、姿态、动作及环境特征来准确判断行人意图。为了增强模型对不同距...目的在智能驾驶领域,准确预测行人穿越行为对于确保车辆和行人安全至关重要。方法设计了一种结合多种计算机视觉技术的行人穿越行为预测模型,该模型通过分析行人的位置、姿态、动作及环境特征来准确判断行人意图。为了增强模型对不同距离行人的感知能力,采用了不同尺度放大的预处理和数据滤波平滑的后处理技术。提出了先条件后预测(Predict after Condition,PAC)两阶段方法,以实现更为有效的行人穿越预测。结果基于JAAD数据集的测试结果表明:所提模型平均精度达89.31%,相较于传统单阶段方法提升了8.76%。结论特征重要度分析进一步表明:加入路面面积特征后,预测准确率从68.43%显著提升至85.06%,强调了行人位置与路面轮廓关系在行人穿越行为研究中的重要性。对降低人车碰撞事故,提高智能驾驶车辆的安全性具有重要意义。展开更多
This research of bidirectional pedestrian flows at signalized crosswalks is divided into two parts： model and applica- tion. In the model part, a mixed survey including the questionnaire investigation and tracking in...This research of bidirectional pedestrian flows at signalized crosswalks is divided into two parts： model and applica- tion. In the model part, a mixed survey including the questionnaire investigation and tracking investigation is conducted to gain the basic data about walking tendentiousness of a pedestrian crossing. Then, the forward, right-hand, outstripping, and influential coefficients are outlined to quantize walking tendentiousness of pedestrian crossing and estimate transition probabilities of pedestrians. At last, an improved cellular automation model is proposed to describe walking tendentious- ness and crossing behaviors of pedestrians. In the application part, channelization research of bidirectional pedestrian flows is presented for real signalized crosswalk. In this process, the effects of right-side-walking and conformity behaviors on the efficiency of pedestrian crossing are thoroughly analyzed based on simulations and experiments to obtain a final channelization method to raise the efficiency of a pedestrian crossing at the crosswalk.展开更多
基金supported by the[JST SPRING](Grant No.JPMJSP2128)。
文摘Sidewalks play an indispensable role in creating walkable environments.In commercial districts,sidewalks increase connectivity and can enhance pedestrian volume,which promotes commerce.While past research has explored commercial factors affecting pedestrian behavior on sidewalks,few studies have explored the effects of architectural factors.This study centers on two sidewalks in commercial districts in Tokyo as a case study,seeking to elucidate the relationship between micro-scale built environment factors and pedestrian behavior.Nineteen factors are analyzed in relation to pedestrian volume and staying.Correlation analysis reveals that pedestrian volume and staying are significantly correlated with seven and six built environment factors,respectively.Stepwise multiple linear regression further reveals that pedestrian volume is positively correlated with passable width,W/D,and movable greening,while being negatively correlated with flagship.Staying,conversely,is positively correlated with passable width,sky rate,and D/H.Based on these identified relationships,a predictive model is established for pedestrian volumes in sidewalks in commercial districts.The findings of this study may provide workable insights for decision-makers aiming to establish walkable environments and encouraging pedestrian activity and may aid in developing detailed plans based on specific factors influencing pedestrian behavior.
文摘This research provides a mixed method of investigating and analyzing pedestrian behavior in pedestrianized areas,which is one of the human-based urban development practices.The relationship between pedestrian behavior and perception of the city is discussed through a combination of architect and urban planner Gordon Cullen’s theory and Space Syntax methodology.This study examines the development and implementation of the methodology to understand the relationship between pedestrian behavior and space in Besiktas Koyici settlement,Istanbul.The methodology,integrated with on-site observations(observing 10 min at five different observation points in the settlement at predetermined times on weekdays and weekends),surveys(determining pedestrian movement and perception in terms of Cullen’s theory)and spatial configuration(Space Syntax analysis(connectivity,integrity)done with DepthMapX software),aims to analyze pedestrian behavior patterns.The concepts of sense of place and content,as well as the effects of their sub-concepts on their behaviors,were revealed because of a survey conducted with students and architects of variety of educational levels who are daily users of the field.Pedestrian counting and observations were used to create density,activity,and mobility maps of the area.It has been found that pedestrianized areas have a significant impact on pedestrian behavior through influencing vitality and appeal and that Cullen’s theory may be used to analyze pedestrian behavior and perceptions of the city.The study showed that spatial configuration and Cullen’s theory effect pedestrian movement by complementing each other.
基金Project supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China(Grant No.2017YFC083300)the National Natural Science Foundation of China(Grant Nos.91646201,U1633203,and 51808422)the Independent Innovation Foundation of Wuhan University and Technology,China(Grant No.2019IVA011)。
文摘Pedestrian evacuation is actually a process of behavioral evolution. Interaction behaviors between pedestrians affect not only the evolution of their cooperation strategy, but also their evacuation paths-scheduling and dynamics features. The existence of interaction behaviors and cooperation evolution is therefore critical for pedestrian evacuation. To address this issue, an extended cellular automaton(CA) evacuation model considering the effects of interaction behaviors and cooperation evolution is proposed here. The influence mechanism of the environment factor and interaction behaviors between neighbors on the decision-making of one pedestrian to path scheduling is focused. Average payoffs interacting with neighbors are used to represent the competitive ability of one pedestrian, aiming to solve the conflicts when more than one pedestrian competes for the same position based on a new method. Influences of interaction behaviors, the panic degree and the conflict cost on the evacuation dynamics and cooperation evolution of pedestrians are discussed. Simulation results of the room evacuation show that the interaction behaviors between pedestrians to a certain extent are beneficial to the evacuation efficiency and the formation of cooperation behaviors as well. The increase of conflict cost prolongs the evacuation time. Panic emotions of pedestrians are bad for cooperation behaviors of the crowd and have complex effects on evacuation time. A new self-organization effect is also presented.
文摘In the context of banning gated communities, blocks returning to the human-oriented scale become the new normal, and pedestrian system design will be paid more attention in the urban planning field. Oct-Loft Creative Park is a template for open blocks in Shenzhen, with a convenient and humanized pedestrian system. This paper selects the creative park's pedestrian system as the research object, using the environment-behavior theory for analysis. Finally, optimization strategies of pedestrian system will be put forward.
基金supported by the National Natural Science Foundation of China(Grant Nos.51278221 and 51378076)the Science Technology Development Project of Jilin Province,China(Grant No.20140204027SF)
文摘Considering the interlayer height, luggage, the difference between queuing pedestrians, and walking speed, the pedestrian choice model of vertical walking facilities is established based on a support vector machine. This model is verified with the pedestrian flow data of Changchun light-rail transfer station and Beijing Xizhimen transfer station. Adding the pedestrian choice model of vertical walking facilities into the pedestrian simulation model which is based on cellular automata, the pedestrian choice behavior is simulated. In the simulation, the effects of the dynamic influence factors are analyzed. To reduce the conflicts between pedestrians in opposite directions, the layout of vertical walking facilities is improved. The simulations indicate that the improved layout of vertical walking facilities can improve the efficiency of pedestrians passing.
基金the National Natural Science Foundation of China(No.61873190)。
文摘Simulation of pedestrians’behavior in the hub can help decision-makers to formulate better evacuation strategies.With this aim,this study develops an improved cellular automata model considering pedestrian’s mass-following psychology and competitive awareness,and based on this model,pedestrian’s evacuation process from the channel of the hub with two exits is simulated.Moreover,dynamic guidance information,e.g.,the realtime congestion situation of the evacuation routes,plays an important role during pedestrian evacuation processes in a hub,as the evaluation routes can be adjusted based on this information.That is,the congestion situation during the evaluation can be improved.Thus,dynamic signs are incorporated into the proposed model to study the influence of dynamic guidance information on pedestrian evacuation behavior.In simulation experiments,the influence of two parameters,namely the proportion of pedestrians unfamiliar with the hub and update interval of dynamic signs,on pedestrian evacuation behavior is studied.Results show that dynamic guidance information can improve the efficiency of pedestrian evacuation.In particular,the higher the proportion of pedestrians unfamiliar with the hub is,the more obvious the effect of dynamic guidance information is.Besides,different proportions of pedestrians unfamiliar with the hub lead to different update intervals of dynamic signs.Finally,the results of this study can provide some implications to the practical hub operation and evacuation,e.g.,to standardize the order of evacuation routes and improve the information service level in the hub.
基金The National Natural Science Foundation of China(No.51278220)
文摘Due to the fact that there is no protected signal phase for right turns at most signalized intersections, the conflict between pedestrians and right-turning vehicles is one of the most common conflict types for pedestrians. A pedestrian safety analysis of the common right-turn mode at four-phase signalized intersections is presented. Relative risk is used as a measure of the effect of behaviors. The analysis mainly includes five pedestrian factors that affect the conflict process between pedestrians and right-turning vehicles. Pedestrians tend to have a higher risk of being involved in conflicts in the following six situations: crossing with others, running over the crossing, entering the intersection, being near the exit lane, crossing in the middle or at the end of a green light when the right-turn lane is shared, crossing at the beginning of a green light or red period when the right-turn lane is exclusive. It is easier for pedestrians to get priority when crossing the street in the following situations: running over a crossing, entering the intersection, being near the entrance lane, and not using the crosswalk. However, pedestrians are more inclined to yield to right-turning vehicles when pedestrians are crossing in the middle of the green light time. Some measures to alleviate the conflict are put forward according to the conclusion. Video observations also indicate that a clear pedestrian waiting area must be marked for both pedestrian safety and right-turning vehicle efficiency at major flat intersections, particularly when the arms cover the lateral dividing strips.
文摘目的在智能驾驶领域,准确预测行人穿越行为对于确保车辆和行人安全至关重要。方法设计了一种结合多种计算机视觉技术的行人穿越行为预测模型,该模型通过分析行人的位置、姿态、动作及环境特征来准确判断行人意图。为了增强模型对不同距离行人的感知能力,采用了不同尺度放大的预处理和数据滤波平滑的后处理技术。提出了先条件后预测(Predict after Condition,PAC)两阶段方法,以实现更为有效的行人穿越预测。结果基于JAAD数据集的测试结果表明:所提模型平均精度达89.31%,相较于传统单阶段方法提升了8.76%。结论特征重要度分析进一步表明:加入路面面积特征后,预测准确率从68.43%显著提升至85.06%,强调了行人位置与路面轮廓关系在行人穿越行为研究中的重要性。对降低人车碰撞事故,提高智能驾驶车辆的安全性具有重要意义。
基金Project supported by the National Natural Science Foundation of China(Grant No.51578149)
文摘This research of bidirectional pedestrian flows at signalized crosswalks is divided into two parts： model and applica- tion. In the model part, a mixed survey including the questionnaire investigation and tracking investigation is conducted to gain the basic data about walking tendentiousness of a pedestrian crossing. Then, the forward, right-hand, outstripping, and influential coefficients are outlined to quantize walking tendentiousness of pedestrian crossing and estimate transition probabilities of pedestrians. At last, an improved cellular automation model is proposed to describe walking tendentious- ness and crossing behaviors of pedestrians. In the application part, channelization research of bidirectional pedestrian flows is presented for real signalized crosswalk. In this process, the effects of right-side-walking and conformity behaviors on the efficiency of pedestrian crossing are thoroughly analyzed based on simulations and experiments to obtain a final channelization method to raise the efficiency of a pedestrian crossing at the crosswalk.
