A study of macroscopic pedestrian traffic flow by simulation experimentation of using mobile phone and rushed walking
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Abstract
This article studies pedestrian traffic flow by simulating scenarios. Prior to experimentation, surveys were conducted within the pedestrian walkway of a subway station (MRT) to examine behavioral patterns expected to affect pedestrian traffic flow. These behaviors include hurry walking and mobile phone usage while walking. Subsequently, several scenarios were constructed to capture diversify behaviors including current scenarios with proportions from surveys, and scenarios with extreme proportions. Traffic flows were designed to vary in density from light to crowded. Analysis results were separated into two types: (1)comparing walking speeds between current and extreme scenarios revealed a statistically significant increase in average speed with an increase in the proportion of hurried pedestrians, while the average speed decreased significantly with an increase in the proportion of mobile phone users among pedestrians and (2) constructing Fundamental Diagram models revealed that the Northwestern model demonstrated the highest performance based on statistical criteria. This model can be used to forecast pedestrian traffic conditions or to design walkways for optimal efficiency, tailored to the flow behavior in the area.
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สำนักงานนโยบายและแผนการขนส่งและจราจร.แผนการพัฒนาเมืองอัจฉริยะพื้นที่โดยรอบสถานีกลางบางซื่อ เข้าถึงได้จาก: http://www.otp.go.th/ uploads/tiny_uploads/PDF/2563-04/25630410-PDF-SmartCity.pdf [เข้าถึง 7 กุมภาพันธ์ 2567]
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