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Katsuhiro Nishinari - One of the best experts on this subject based on the ideXlab platform.
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Walking Distance introduced queueing model for pedestrian queueing system theoretical analysis and experimental verification
Transportation Research Part C-emerging Technologies, 2013Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Ayako Miura, Kazumichi Ohtsuka, Katsuhiro NishinariAbstract:We have introduced the effect of delay in Walking from the head of a queue to the service windows in the queueing model and obtain a suitable type of queueing system under various conditions by both computational simulation and theoretical analysis. When there are multiple service windows, the queueing theory indicates that mean waiting time in a fork-type queueing system (Fork), which collects pedestrians into a single queue, is smaller than that in a parallel-type queueing system (Parallel), i.e., queues for each service window. However, in our Walking-Distance introduced queueing model, we have examined that mean waiting time in Parallel becomes smaller when both the arrival probability of pedestrians and the effect of Walking Distance are large. Moreover, enhanced Forks, which shorten waiting time by reducing the effect of Walking Distance, are considered, and parts of our results are also verified by real queueing experiments.
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methods for shortening waiting time in Walking Distance introduced queueing systems
naco, 2010Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Kazumichi Ohtsuka, Katsuhiro Nishinari, Ayako KimuraAbstract:We have investigated the Walking-Distance introduced queueing theory and verified that the mean waiting time in a parallel-type queueing system, i.e., queues for each service windows, becomes smaller than that in a fork-type queueing system, which collects people into a single queue, when sufficiently many people are waiting in queues. In a fork-type queueing system, a person at the head of the queue, which is usually set at the end of the system, starts to move when one of the service windows become vacant. Since this Walking time from the head of the queue to the windows increases the waiting time, we propose to set the head of the queue at the center of the system and keep one person waiting at each service window when it is occupied by other person. The validity of the methods is examined by the theoretical analysis, simulations, and experiments.
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ACRI - Walking-Distance Introduced Queueing Theory
Lecture Notes in Computer Science, 1Co-Authors: Daichi Yanagisawa, Akiyasu Tomoeda, Ayako Kimura, Katsuhiro NishinariAbstract:We introduce the effect of delay in Walking from the head of the queue to the service windows in the queueing theory, and obtain the suitable type of queueing system under various conditions. When there are plural service windows, the queueing theory indicates that a fork-type queue, which collects people into a single queue, is more efficient than a parallel-type queue, i.e., queues for each service windows. However, in the Walking-Distance introduced queueing theory, we find that the parallel-type queue is more efficient when sufficiently many people are waiting in queues, and service time is shorter than Walking time. We also consider the situation where there are two kinds of people, whose service time is short and long. The analytical result says that we can decrease people's waiting time and their stress by setting up queues for each kind of people separately.
Daichi Yanagisawa - One of the best experts on this subject based on the ideXlab platform.
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Walking Distance introduced queueing model for pedestrian queueing system theoretical analysis and experimental verification
Transportation Research Part C-emerging Technologies, 2013Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Ayako Miura, Kazumichi Ohtsuka, Katsuhiro NishinariAbstract:We have introduced the effect of delay in Walking from the head of a queue to the service windows in the queueing model and obtain a suitable type of queueing system under various conditions by both computational simulation and theoretical analysis. When there are multiple service windows, the queueing theory indicates that mean waiting time in a fork-type queueing system (Fork), which collects pedestrians into a single queue, is smaller than that in a parallel-type queueing system (Parallel), i.e., queues for each service window. However, in our Walking-Distance introduced queueing model, we have examined that mean waiting time in Parallel becomes smaller when both the arrival probability of pedestrians and the effect of Walking Distance are large. Moreover, enhanced Forks, which shorten waiting time by reducing the effect of Walking Distance, are considered, and parts of our results are also verified by real queueing experiments.
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methods for shortening waiting time in Walking Distance introduced queueing systems
naco, 2010Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Kazumichi Ohtsuka, Katsuhiro Nishinari, Ayako KimuraAbstract:We have investigated the Walking-Distance introduced queueing theory and verified that the mean waiting time in a parallel-type queueing system, i.e., queues for each service windows, becomes smaller than that in a fork-type queueing system, which collects people into a single queue, when sufficiently many people are waiting in queues. In a fork-type queueing system, a person at the head of the queue, which is usually set at the end of the system, starts to move when one of the service windows become vacant. Since this Walking time from the head of the queue to the windows increases the waiting time, we propose to set the head of the queue at the center of the system and keep one person waiting at each service window when it is occupied by other person. The validity of the methods is examined by the theoretical analysis, simulations, and experiments.
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ACRI - Walking-Distance Introduced Queueing Theory
Lecture Notes in Computer Science, 1Co-Authors: Daichi Yanagisawa, Akiyasu Tomoeda, Ayako Kimura, Katsuhiro NishinariAbstract:We introduce the effect of delay in Walking from the head of the queue to the service windows in the queueing theory, and obtain the suitable type of queueing system under various conditions. When there are plural service windows, the queueing theory indicates that a fork-type queue, which collects people into a single queue, is more efficient than a parallel-type queue, i.e., queues for each service windows. However, in the Walking-Distance introduced queueing theory, we find that the parallel-type queue is more efficient when sufficiently many people are waiting in queues, and service time is shorter than Walking time. We also consider the situation where there are two kinds of people, whose service time is short and long. The analytical result says that we can decrease people's waiting time and their stress by setting up queues for each kind of people separately.
Paul T Williams - One of the best experts on this subject based on the ideXlab platform.
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association between Walking Distance and percentiles of body mass index in older and younger men
British Journal of Sports Medicine, 2008Co-Authors: Paul T WilliamsAbstract:Objective: To assess the association of weekly Walking Distance to body weight and waist circumference in elderly (age ⩾75 years), senior (55⩽ age Design: Cross-sectional analyses of baseline questionnaires from 7082 male participants of the National Walkers’ Health Study. Results: Standard regression analyses showed that body mass index (BMI) was inversely and significantly associated with Walking Distance (kg/m 2 per km/week) in elderly (slope (SE): −0.032 (0.008)), senior (−0.045 (0.005)) and middle-aged men (−0.037 (0.007)), as were their waist circumferences (−0.090 (0.025), −0.122 (0.012) and −0.091 (0.015) cm per km/week, respectively), and that these slopes remained significant when adjusted statistically for reported weekly servings of meat, fish, fruit and alcohol. However, percentile regression analyses showed that the declines in BMI per km/week walked were greater at the higher than the lower percentiles of the BMI distribution. In men ⩾74 years old the decline per km walked was 4.9-fold greater among the heaviest men (that is, 90th BMI percentile; −0.076 kg/m 2 per km/week) than among the leanest men (that is, 10th BMI percentile; −0.015 kg/m 2 per km/week). The differences in slope at the 90th compared to the 10th BMI percentile were 5.4-fold among men 55–74 years old and sixfold among men 35–54 years old. Per km/week walked, the declines at the 90th percentile of waist circumference were also greater than at its 10th percentile, and intermediate for percentiles in between. Whereas standard regression analyses suggest that the average declines in BMI per km/week walked reported here are consistent with those reported previously per km/week run in male runners 35–54 years old (−0.036 (0.001) kg/m 2 per km/week) and ⩾50 years old (−0.038 (0.001) kg/m 2 per km/week), percentile regression analyses showed that when adjusted to the leaner body weights of the runners the declines per km walked were between 49% and 59% less for walkers than runners. Conclusions: Declines in BMI and waist circumferences with Walking Distance depend upon the percentile of the BMI distribution, with the decline per km walked being significantly greater among heavier men.
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nonlinear relationships between weekly Walking Distance and adiposity in 27 596 women
Medicine and Science in Sports and Exercise, 2005Co-Authors: Paul T WilliamsAbstract:Introduction/Purpose: Data from vigorously active women (runners) suggested that declines in adiposity with weekly running Distance were nonlinear and dependent on whether the women are relatively lean or fat. The purpose of the current study is to assess the cross-sectional relationship between the amount of moderate-intensity physical activity (Walking Distance) and indicators of adiposity. Methods: Cross-sectional analyses (i.e., quadratic polynomial regression, regression for percentiles of adiposity) of body mass index (BMI), body circumferences, and bra cup sizes in 27,596 women. Results: The estimated percent reductions between Walking 40-50 km[middle dot]wk-1 and <10 km[middle dot]wk-1 were greatest for BMI, intermediate for waist circumference and cup size, and least for hip and chest circumferences. The relationships of Walking Distance to BMI and body circumferences were all nonlinear (convex). In addition, the inverse relationship between weekly Walking Distance and adiposity was greatest at the highest percentile of BMI, body circumferences, and cup size, and least at the lowest percentiles. Thus, the decline in adiposity per kilometer per week increment in Walking Distance was greatest in overweight mostly sedentary women and least in lean active women. The decline in BMI per kilometer per week of exercise was greater in the walkers than previously reported for runners. However, based on the relationships between Walking Distance and percentiles of the BMI distribution reported here, we show that the majority of this difference is attributable to the leanness of the runners and greater fatness of the walker. Conclusion: These data suggest that in women the greatest benefit of Walking may be among the most obese and that at higher weekly Distances the declines in weight associated with Walking diminish. Whether these relationships are causal remains to be determined.
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Nonlinear Relationships between Weekly Walking Distance and Adiposity in 27,596 Women
Medicine and science in sports and exercise, 2005Co-Authors: Paul T WilliamsAbstract:Introduction/Purpose: Data from vigorously active women (runners) suggested that declines in adiposity with weekly running Distance were nonlinear and dependent on whether the women are relatively lean or fat. The purpose of the current study is to assess the cross-sectional relationship between the amount of moderate-intensity physical activity (Walking Distance) and indicators of adiposity. Methods: Cross-sectional analyses (i.e., quadratic polynomial regression, regression for percentiles of adiposity) of body mass index (BMI), body circumferences, and bra cup sizes in 27,596 women. Results: The estimated percent reductions between Walking 40-50 km[middle dot]wk-1 and
Akiyasu Tomoeda - One of the best experts on this subject based on the ideXlab platform.
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Walking Distance introduced queueing model for pedestrian queueing system theoretical analysis and experimental verification
Transportation Research Part C-emerging Technologies, 2013Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Ayako Miura, Kazumichi Ohtsuka, Katsuhiro NishinariAbstract:We have introduced the effect of delay in Walking from the head of a queue to the service windows in the queueing model and obtain a suitable type of queueing system under various conditions by both computational simulation and theoretical analysis. When there are multiple service windows, the queueing theory indicates that mean waiting time in a fork-type queueing system (Fork), which collects pedestrians into a single queue, is smaller than that in a parallel-type queueing system (Parallel), i.e., queues for each service window. However, in our Walking-Distance introduced queueing model, we have examined that mean waiting time in Parallel becomes smaller when both the arrival probability of pedestrians and the effect of Walking Distance are large. Moreover, enhanced Forks, which shorten waiting time by reducing the effect of Walking Distance, are considered, and parts of our results are also verified by real queueing experiments.
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methods for shortening waiting time in Walking Distance introduced queueing systems
naco, 2010Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Kazumichi Ohtsuka, Katsuhiro Nishinari, Ayako KimuraAbstract:We have investigated the Walking-Distance introduced queueing theory and verified that the mean waiting time in a parallel-type queueing system, i.e., queues for each service windows, becomes smaller than that in a fork-type queueing system, which collects people into a single queue, when sufficiently many people are waiting in queues. In a fork-type queueing system, a person at the head of the queue, which is usually set at the end of the system, starts to move when one of the service windows become vacant. Since this Walking time from the head of the queue to the windows increases the waiting time, we propose to set the head of the queue at the center of the system and keep one person waiting at each service window when it is occupied by other person. The validity of the methods is examined by the theoretical analysis, simulations, and experiments.
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ACRI - Walking-Distance Introduced Queueing Theory
Lecture Notes in Computer Science, 1Co-Authors: Daichi Yanagisawa, Akiyasu Tomoeda, Ayako Kimura, Katsuhiro NishinariAbstract:We introduce the effect of delay in Walking from the head of the queue to the service windows in the queueing theory, and obtain the suitable type of queueing system under various conditions. When there are plural service windows, the queueing theory indicates that a fork-type queue, which collects people into a single queue, is more efficient than a parallel-type queue, i.e., queues for each service windows. However, in the Walking-Distance introduced queueing theory, we find that the parallel-type queue is more efficient when sufficiently many people are waiting in queues, and service time is shorter than Walking time. We also consider the situation where there are two kinds of people, whose service time is short and long. The analytical result says that we can decrease people's waiting time and their stress by setting up queues for each kind of people separately.
Kazumichi Ohtsuka - One of the best experts on this subject based on the ideXlab platform.
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Walking Distance introduced queueing model for pedestrian queueing system theoretical analysis and experimental verification
Transportation Research Part C-emerging Technologies, 2013Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Ayako Miura, Kazumichi Ohtsuka, Katsuhiro NishinariAbstract:We have introduced the effect of delay in Walking from the head of a queue to the service windows in the queueing model and obtain a suitable type of queueing system under various conditions by both computational simulation and theoretical analysis. When there are multiple service windows, the queueing theory indicates that mean waiting time in a fork-type queueing system (Fork), which collects pedestrians into a single queue, is smaller than that in a parallel-type queueing system (Parallel), i.e., queues for each service window. However, in our Walking-Distance introduced queueing model, we have examined that mean waiting time in Parallel becomes smaller when both the arrival probability of pedestrians and the effect of Walking Distance are large. Moreover, enhanced Forks, which shorten waiting time by reducing the effect of Walking Distance, are considered, and parts of our results are also verified by real queueing experiments.
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methods for shortening waiting time in Walking Distance introduced queueing systems
naco, 2010Co-Authors: Daichi Yanagisawa, Yushi Suma, Akiyasu Tomoeda, Kazumichi Ohtsuka, Katsuhiro Nishinari, Ayako KimuraAbstract:We have investigated the Walking-Distance introduced queueing theory and verified that the mean waiting time in a parallel-type queueing system, i.e., queues for each service windows, becomes smaller than that in a fork-type queueing system, which collects people into a single queue, when sufficiently many people are waiting in queues. In a fork-type queueing system, a person at the head of the queue, which is usually set at the end of the system, starts to move when one of the service windows become vacant. Since this Walking time from the head of the queue to the windows increases the waiting time, we propose to set the head of the queue at the center of the system and keep one person waiting at each service window when it is occupied by other person. The validity of the methods is examined by the theoretical analysis, simulations, and experiments.
