And other pedestrians crossing the street will not join in the illegal group. When the average degree of the purchase Paclitaxel network is close to or larger than 5, the crossing street illegal behavior can be spread in the network, which has produced the conformity effect. In addition, detailed analysis shows that when the average

degree of the network is 5, other pedestrians will gradually join into the ranks of crossing the street illegally when there is a leader illegal pedestrian. And about 50% of the pedestrians will cross the street illegally because of the conformity effect. When the average degree of the network is 6 or 8, the rate of pedestrians crossing the street illegally stabilized at 60% or 80%. It can be seen that (1) the spreading rule of illegal behavior has a steady effect, so the behavior spread of impact scope will eventually reach a steady state; (2) when the pedestrians’ connectivity is much stronger (average degree is higher), the illegal behavior will spread more widely and fast. 4.2.2. Spreading Characteristics of Violation Behavior in Different Spreading Rates Spreading rate is defined as the probability of the pedestrian whose illegal behavior is impacted by other pedestrians. Spreading rate can represent the amount of a person’s

conformity probability. Different simulation results when the average degree is 6 and the spreading rates are 10% (see Figure 5(a)) and 15% (see Figure 5(b)) are obtained. When the spreading rate is 10%, the rate of crossing street illegally eventually stabilizes at 60%, while when the spreading rate is 15%, the illegal crossing rates reach 80%. An important result is achieved: when the spreading rate is higher, the rate of pedestrians crossing street illegally is higher. The slight increase in spreading rates could cause a significant increase in pedestrian violation behavior spreading range. So improving pedestrian’s safety awareness and compliance awareness can effectively reduce the probability of pedestrian violation behavior and improve pedestrian safety at signalized intersections. Figure

5 (a) Pedestrian violation behavior spreading trend (degree = 6 and spreading rate = 10%). (b) Pedestrian violation behavior spreading trend (degree = 6 and spreading rate = 15%). 5. Conclusions Pedestrian conformity violation behaviors are common phenomena at the Carfilzomib signalized intersections in China. Based on the theory of complex networks, the pedestrian’s conformity violation behavior is studied in the paper. First, the network of pedestrians crossing the street is constructed and the degree distribution of the pedestrian network is analyzed. Then, using the basic ideas of SI model, pedestrians crossing street illegal behavior spread model is established. In addition, simulation method is applied to get the communication trends of pedestrian violation behavior in different network structures and different spreading rates.