Page 48 - NGTU_paper_withoutVideo
P. 48

Modern Geomatics Technologies and Applications

          calculated at 10 m of buffer per street. Also, by using the entropy index, land use diversity was calculated in a 10 m buffer per
          street.

                                          TABLE 1  FACTORS AFFECTING ACTIVE TRAVEL
                                     Variable Type       Independent Variables

                                        Temporal factor         Daytime interval
                                                               Population density
                                     Socio-economic factor
                                                              Employment density
                                                                  Road length


                                                                  Road slope
                                     Road Network Factors
                                                                   Road type


                                                         Number of accidents on the street
                                                               Land use diversity
                                       Land use factors
                                                          Distance to the nearest bus stop


             2.4.  Routing model based on VGI Data for Cycling Travel
            In previous sections, air pollution inhalation was calculated as a cost parameter for cycling travel. The effect of different
          parameters on cycling trips was also obtained using a regression model. In this section, unlike previous researches, with the use
          of VGI data, the routing model is generated using the cyclist behavior model. For this purpose, using the regression model
          calculated in the previous step and the environmental factors, the number of trips per edge of the road network at each time
          interval is predicted and considered as an attraction parameter. The  proposed routing model seeks to consider the cost and
          benefit of cycling travel concurrently. Therefore, using a simplified fuzzy inference system, it tries to find a route between
          origin  and  destination  by  considering  the  cost  and  the  benefit  of  traveling.  For  this  purpose,  the  inhalation  rate  of  travel
          pollution is considered as the cost parameter and the attractiveness as the benefit parameter and fuzzy functions are defined for
          each of them and fuzzy values of parameters for each defined membership function are calculated (Fig.3 to Fig.6). The fuzzy
          inference system knowledge base of the proposed routing model is presented in Table 2. The linguistic variables for the values
          of 1, 2, 4 and 8 in "Then" are very low, low, good and very good respectively.

          3.  Results and Discussion
            Using Eq. 1 to Eq. 4, inhaled pollution was calculated for all trips in the year 2016. By considering the number of trips, the
          average amount of inhaled air pollution during a trip is 24.836 (µg) in Glasgow. Table 3 shows that the average inhalation air
          pollution during non-commuting trips is 3.6 (µg) less than the commuting trips.

                                     TABLE 2 THE FUZZY INFERENCE SYSTEM KNOWLEDGE BASE
                                                IF
                                   Rule number                                    Then
                                                Inhaled air pollution  Attractiveness
                                   1            High                Low           1
                                   2            High                High          2
                                   3            Low                 Low           4
                                   4            Low                 High          8






                                                                                                               4
   43   44   45   46   47   48   49   50   51   52   53