2.2.2 Observation And Analysis Of Vehicles
In the six observation periods of working days, the top three places of traffic flow are observation points 15, 10 and 11 respectively, and the three places with the lowest total are observation points 14, 7 and 8 respectively. The traffic flow is the highest from 10:00 to 12:00, followed by 8:00 to 10:00; Then, the order of traffic flow from high to low is 16:00-18:00, 12:00-14:00, 18:00-20:00 and 14:00-16:00. In the category analysis of vehicles, the largest number of vehicles is motorcycles, followed by most private vehicles on the roads around the settlement, followed by bicycles, tricycles Taxis and minivans. Observation point 15 is the location with the most traffic flow on weekdays, and the second and third highest traffic flow are also in this location. Pearson correlation analysis of weekday traffic flow shows that there is a significant positive correlation between taxis (r = 0.75, P < 0.01) and private cars; Taxis (r = 0.56, P < 0.01) and private cars (r = 0.54, P < 0.05) were significantly positively correlated with bicycles; Taxis (r = 0.66, P < 0.01) and private cars (r = 0.80, P < 0.01) were significantly positively correlated with minivans; Taxis (r = 0.78, P < 0.01), private cars (r = 0.72, P < 0.01), bicycles (r = 0.50, P < 0.01) were significantly positively correlated with minivans (r = 0.56, P < 0.01) and tricycles; Bicycle (r = 0.78, P < 0.01) has a significant positive correlation with tricycle (r = 0.45, P < 0.05) and motorcycle.
In the six observation periods of rest days, the traffic flow gradually decreases from 8:00-10:00 to 12:00-14:00, and increases greatly from 14:00-16:00, 16: From 00 to 18:00, there was a slight decrease, and the traffic flow in the last period was the largest. In the classification of vehicles, the largest number of motorcycles was observed, followed by private vehicles, followed by bicycles, tricycles, minivans, minibuses, taxis, trucks and buses. The place with the largest traffic flow on rest days was observation point 10, The second highest position is observation points 3 and 10, and the third highest is observation points 10 and 14. Observation point 10 is included in the first three high places of traffic flow on rest days, because this street is the main road of the city. Pearson correlation analysis of traffic flow on rest days shows that there is a significant positive correlation between minibus (r = 0.59, P < 0.01) and taxi; There was a significant positive correlation between private cars and minibuses (r = 0.88, P < 0.01) and taxis (r = 0.83, P < 0.01); There was a significant positive correlation between minibus (r = 0.65, P < 0.01) and private car (r = 0.54, P < 0.05) and minivan; There was a significant positive correlation between bicycle (r = 0.62, P < 0.01) and motorcycle.
2.2.2车辆的观察分析
在工作日的6个观察时段,车流量前三高的地点分别是观测点15,10与11, 总和最低的3个地方分别是观测点14,7与8.车流量在10:00-12:00最高,其次是8:00-10:00;然后 车流量由高至低的顺序分别为16:00-18:00,12:00-14:00,18:00-20:00和14:00-16:00.在车辆的类别分析当中,车辆数量最多的是摩托车,其次是大部分出现于聚落周边道路的私有车,然后依序分别为自行车、三轮车、出租车和小货车.工作日车流量最多的位置是观测点15,车流量第二、第三高也是在这个地点.工作日车流量的Pearson相关分析结果显示:出租车(r=0.75,P<0.01)和私有车有显著 正相关;出租车(r=0.56,P<0.01)和私有车(r=0.54,P<0.05)与自行车有显著正相关;出租车(r= 0.66,P<0.01)和私有车(r=0.80,P<0.01)与小货车有显著正相关;出租车(r=0.78,P<0.01)、私 有车(r=0.72,P<0.01)、自行车(r=0.50,P<0.01)与小货车(r=0.56,P<0.01)和三轮车有显著正相关;自行车(r=0.78,P<0.01)与三轮车(r=0.45,P<0.05)和摩托车有显著正相关.
在休息日的6个观察时段中,车流量从8:00-10:00逐渐向下递减至12:00-14:00,到了14:00- 16:00车流量大增,16:00-18:00略为下降,最后一个时段的车流量最大.在车辆的分类当中,观察到数 量最多的是摩托车,其次是私有车,然后依序分别是自行车、三轮车、小货车、小巴士、出租车、大货车和 大巴士.休息日车流量最多的地点是观测点10,第二高的位置是观测点3与10,第三高则是观测点10 与14.休息日车流量前三高的地方都包含了观测点10,因为这条街道是城市的主干道.休息日车流量的 Pearson相关分析结果显示:小巴士(r=0.59,P<0.01)和出租车有显著正相关;小巴士(r=0.88,P< 0.01)和出租车(r=0.83,P<0.01)与私有车有显著正相关;小巴士(r=0.65,P<0.01)与私有车(r= 0.54,P<0.05)和小货车有显著正相关;自行车(r=0.62,P<0.01)与摩托车有显著正相关.