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The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections 學生:董瑩蟬.

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Presentation on theme: "The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections 學生:董瑩蟬."— Presentation transcript:

1 The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections 學生:董瑩蟬

2 Purpose This paper main investigated the pedestrian crossing road behavior. When the pedestrian used mobile phone that there behavior different with no used mobile phone. When the pedestrian crossing at the signalised and unsignalised intersections that behavior different.

3 Reference According to the statistics data found the pedestrian accident rate between 11 to 14 percentage. (NHTAS, 2006; Australian Transport safety Bureau, 2005) When the vehicle speed more than 40 km/h that pedestrian has higher risk. (Ashton,1981) The 15% pedestrian accident because they owe attention. (Bungum et al.,2005)

4 Reference Many studies found that mobile phone impact attention for driver. (Caird et al.,2004; Horrey et al., 2004; Young et al.,2003) The road crossing behavior demand several cognitive attention. (Tabibi et al., 2003; Whitebread et al., 1999)

5 Reference Some studies showed that the mobile phone have negative impacts. (Gartner et al., 2002) The auditory distraction may effect the driver performance. (Green et al.,1993; Jancke et al.,1994)

6 Method There are 546 participant this study. There were three groups on this study, there are used phone, no used phone but cross the same direction (time- matched control), no used phone but age and gender the same time-matched control (demographic-match control). The recorded data described with table 1.

7 Method

8 Result The pedestrian distributed: 270 females and 276 Males. There are 48 at low socioeconomic status, 330 medium and 168 high. 240 at signalised and 306 at unsignalised intersections. There were 390 observed on weekday, 237 on weekend. The observed 158 in the morning, 292 in the afternoon, 96 in the evening.

9 Result There were one-third of three groups, include cas and demographic-matched control, time-matched control and using mobile phone.

10 Result The time-matched control groups were significantly older than case and demographic-matched control.(t562=7.52,P<.001) There were 182 pedestrian used mobile phone when crossing road. There were include 140 hand-held, 6 hand-free and 36 text messaging.

11 Result

12 The females used mobile phone that crossing speed slower than demographic-matched control. (F(1,59)=4.529, p=0.038) The males talking on a phone that crossing speed faster than time-matched control. (F(1,57)=7.991,p=0.006) The males talking on a phone that crossing speed not different from demographic. (F(1,65)=0.016, p=.899)

13 Result

14 The female talking on a mobile phone that crossing speed not different from controls. (F(1,138)=0.002, p=.963) The males talking on a mobile phone that crossing speed slower than demographic- match control. (F(1,57)=1.121,P=.291)

15 Discussion The pedestrian used mobile phone that crossing speed slower than no used mobile phone. It similar to Bungum et al. (2005) that found the cognitive distraction. Some studies found that the driver used mobile phone the driving speed become slower. (Brown et al.,1969; Burns et al.,2002…ect.) Many studies showed the used mobile phone that increased driver workload. (Cain et al.,1999; Atchley et al.,2004…ect.)

16 Conclusion The pedestrian used mobile phone when they crossing road that increased cognitive distribution. The pedestrian used mobile phone that may effect the road crossing safety.


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