Consider a residential area and two shopping centers that are possible destinations. From 2:00 to 3:00PM...
2. In a 1-hour period, 1100 vehicle-based shopping trips leave a large residential area for two shopping plazas. A joint shopping-trip mode-destination choice logit model is estimated, providing the following coefficients: Variable Auto Coefficient Bus Coefficient Auto Constant 0.25 0.00 Travel Time in Minutes -0.40 -0.50 Commercial Floor Space 0.013 0.013 (in thousands of ft) Initial travel times to shopping centers 1 and 2 are as follows: By Auto Travel Time (in minutes) To shopping plaza 1 To shopping plaza...
Problem 4 (15%) It is known that 5000 automobile trips are generated in a large residential area from 12:00 PM to 1:00 PM on Saturdays for shopping purposes. Four major shopping centres have the following characteristics Shopping Centre 1 4 14 60 Distance from residential area (km) Commercial floor space (thousands of m2)2015 12, 30 Using a Logit model (with logit parameter equal to 1), the following utility function is estimated for the residents' choice of shopping destination: U-0.283 X...
(26 pts) From a TAZ there are 100 trips to be distributed to 2 destinations by bus and auto. A trip attraction and mode choice logit model was estimated and only 2 variables are significant. 6. Table 1. Logit Coefficients Coefficients Auto Bus Constant Travel time Cost 0.50 0.50 0.60 0.60 -0.40 Table 2. Destination and Trip Characteristics Travel Cost Aut Travel Time Des 2 Estimate the distribution of trips per destination and per mode (13 pts) Aut 10.0 Bus...
Problem 2: A total of 725 auto-mode social/recreational trips are made from an origin (residential area) during the peak hour. A logit model estimation is made, and three factors were found to influence the destination choice: () population at the destination, in thousands (coefficient 0.17), (2) distance from origin to destination, in miles (coefficient-0.23) and (3) square feet of amusement floor space (movie theaters, video game centers, etc.), in thousands (coefficient = 0.10). Four possible destinations have the following characteristics...