Investigation on the impact of walkways slope and pedestrians physical characteristics on pedestrians normal walking and jogging speeds

Aghabayk, Kayvan; Parishad, Nasser; Shiwakoti, Nirajan

doi:10.1016/j.ssci.2020.105012

Cited by 33 publications

(17 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pedestrians' memory capacity regarding subway signs gradually decreases as time goes by. Considering that STM capacity changes with time, it seems reasonable to refresh pedestrians' memory every 20 s. Through the literature analysis of pedestrian walking speed, we find that pedestrians of different ages have different walking speeds for different travel purposes, about 1.0-1.5 m/s [33][34][35][36][37], with older pedestrians usually having a lower speed. The setting of subway signs should give full consideration to the information needs of pedestrians with slow walking speed, so we take 1.0 m/s as the lower limit of the walking speed and multiply it with the 20 s time interval of information retelling.…”

Section: Discussionmentioning

confidence: 99%

How Do Subway Signs Affect Pedestrians’ Wayfinding Behavior through Visual Short-Term Memory?

Zhang

et al. 2021

Sustainability

View full text Add to dashboard Cite

Recently, subways have become an important part of public transportation and have developed rapidly in China. In the subway station setting, pedestrians mainly rely on visual short-term memory to obtain information on how to travel. This research aimed to explore the short-term memory capacities and the difference in short-term memory for different information for Chinese passengers regarding subway signs. Previous research has shown that people’s general short-term memory capacity is approximately four objects and that, the more complex the information, the lower people’s memory capacity. However, research on the short-term memory characteristics of pedestrians for subway signs is scarce. Hence, based on the STM theory and using 32 subway signs as stimuli, we recruited 120 subjects to conduct a cognitive test. The results showed that passengers had a different memory accuracy for different types of information in the signs. They were more accurate regarding line number and arrow, followed by location/text information, logos, and orientation. Meanwhile, information type, quantity, and complexity had significant effects on pedestrians’ short-term memory capacity. Finally, according to our results that outline the characteristics of short-term memory for subway signs, we put forward some suggestions for subway signs. The findings will be effective in helping designers and managers improve the quality of subway station services as well as promoting the development of pedestrian traffic in such a setting.

show abstract

Section: Discussionmentioning

confidence: 99%

How Do Subway Signs Affect Pedestrians’ Wayfinding Behavior through Visual Short-Term Memory?

Zhang

et al. 2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…Pedestrian speed changes are determined by their own behavioral choices, 40 the movement state of the surrounding pedestrians, 26 and the ground slope. 41 The influence of these factors on speed will be explored through experiments in this section. It is worth noting that there may be obstacles in the interaction domain that affect pedestrian sight and pedestrians may not necessarily perceive other people’s movement information.…”

Section: Motion Characteristics Of Vas and Non-vas Pedestrians In Lon...mentioning

confidence: 99%

A kinetic theory model of human crowds accounting for visual attention

Wang

2022

SIMULATION

View full text Add to dashboard Cite

The visual attention of pedestrians has been rarely considered in studies of congestion prevention in long-distance passages. This paper proposes a kinetic theory model of human crowds accounting for visual attention to study congestion in long-distance passages. The population is divided into visual attention-shifting pedestrians (VAS pedestrians) and nonvisual attention-shifting pedestrians (non-VAS pedestrians). First, the movement characteristics of all pedestrians are analyzed based on observations and measurements obtained through controlled experiments. Moreover, a pedestrian flow model accounting for visual attention is built to transform the characteristics of pedestrian movement into a mathematical model. Finally, validation is done, and the density and the proportion of VAS pedestrians are selected as congestion warning parameters. Simulations are performed for a subway passage connected to stairs, and the effect of visual attention, the critical thresholds of congestion warning parameters, and the effects of implementing mitigation measures immediately after congestion occurs are assessed. The experimental results show that the movement characteristics of VAS pedestrians and non-VAS pedestrians are different. Simulation results show that the model is effective. Notably, visual attention has an impact on pedestrian movement, and using the density and the proportion of VAS pedestrians as early warning indicators is effective for preventing the occurrence of congestion, as demonstrated by the negative correlation between the two critical thresholds. This description of human groups provides quantitative guidelines for crowd management.

show abstract

“…The At this point it shall be borne in mind that a pedestrian's speed is highly important for their movement's parameterization. The study by K. Aghabayk et al [9] analyzing the impact of the ground's incline in conjunction with the pedestrians' physical traits on their speed has shown that each and every age group develops different walking speeds on different surfaces. Moreover, the older the pedestrian, the slower they can jog; this is a significant decrease in speed, which shall also be borne in mind in case of an emergency.…”

Section: Incline Analysis and Emergency Routingmentioning

confidence: 99%

Strategy for Effective Evacuation of Pedestrians Using GIS and GPS Measurements

Polakis¹,

Tsouchlaraki²

2022

JGIS

View full text Add to dashboard Cite

During a residential settlement evacuation, a large number of individuals do not have access to any private means of transport in order to be evacuated; these people are assembled at Evacuation Assembly Points (E.A.P.s), so as to be picked up, gathered and evacuated by the competent authorities. The present study aims to evaluate whether some pedestrian assembly points are adequate for these people's fastest assembly, taking into account the demographic characteristics of the studied population and the incline of the studied area's ground. In order for said fastest assembly and evacuation to be achieved Geographical Information Systems (G.I.S.) and GPS measurements have been employed. The suggested method has led to the creation of the households' classification maps based upon their inhabitants' response time in order to improve the pre-existent Intervention Teams' contingency plans. First, in order to identify the demographic characteristics of the studied population, we have employed the field survey method; second, we have determined the fastest and ergo optimal evacuation routes using the Dijkstra algorithm. What is more, the results hereof prove that it is feasible that the time it takes to gather the pedestrians be optimized by way of choosing the best evacuation point, whilst a method of large crowds' evacuation in groups has been developed. The latter could constitute a useful tool for Civil Protection Agents and responders.

show abstract

Investigation on the impact of walkways slope and pedestrians physical characteristics on pedestrians normal walking and jogging speeds

Cited by 33 publications

References 40 publications

How Do Subway Signs Affect Pedestrians’ Wayfinding Behavior through Visual Short-Term Memory?

How Do Subway Signs Affect Pedestrians’ Wayfinding Behavior through Visual Short-Term Memory?

A kinetic theory model of human crowds accounting for visual attention

Strategy for Effective Evacuation of Pedestrians Using GIS and GPS Measurements

Contact Info

Product

Resources

About