QUESTION 3 a) Describe the factors affecting trip production and trip attraction in a zonal level. Explain their effects on trip generation and why. b) Describe potential travel demand management strategies which can increase average vehicle occupancy during commuter peak hours. Explain how these strategies would change travel patterns, travel time and fuel consumption. c) Explain how residential development in low-density suburban areas affects mode choice and travel distance of work trips.

QUESTION 3 a) Describe the factors affecting trip production and trip attraction in a zonal level. Explain their effects on trip generation and why. b) Describe potential travel demand management strategies which can increase average vehicle occupancy during commuter peak hours. Explain how these strategies would change travel patterns, travel time and fuel consumption. c) Explain how residential development in low-density suburban areas affects mode choice and travel distance of work trips.

Structural Analysis

6th Edition

ISBN:9781337630931

Author:KASSIMALI, Aslam.

Publisher:KASSIMALI, Aslam.

Chapter2: Loads On Structures

Section: Chapter Questions

Problem 1P

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Answer b.
Determine the trip distribution matrix using "Gravity Model" of transport system with given the data: Trip Production of Zones 1, 2 and 3, correspondingly are 500, 600, and 800 tpd Trip Attraction of Zones 1, 2 and 3, correspondingly are 600, 700 and 600 tpd
In order to facilitate passenger transport, an express bus system is to be set up between AIT Campus and Kwame Nkrumah Interchange at a distance of 13.73 miles. The operating time is expected to be half an hour. The estimated peak demand is 3500 passengers/hr. The available buses have a seating capacity of 35 and space for 25 standees. Given a terminal time of quarter hour, determine the departures per hour and number of buses that will be required to serve the passenger demand.
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hree routes connect an origin and a destination with performance functions: ?1=8+0.5?1; ?2=1+2?2; and ?3=3+0.75?3; with the x’s being the traffic volume expressed in thousands of vehicles per hour and t’s being the travel time expressed in minutes. If the peak hour traffic demand is 3400 vehicles, determine user equilibrium traffic flows. [Hint: Note that one of the paths will not be used under the equilibrium condition
B) What is the purpose of study two from following:- 1- Annual average daily traffic. 2- Design hourly volume. 3- Average daily traffic.
A model for non-work related trips has been developed by the Texas Department of Transportation for Wheeler, Texas. The model is based on the number of trips per household: Number of peak-hour vehicle-based social trips per household = 0.04+0.018*(household size) + 0.009*(annual household income in thousands of dollars) + 0.16*(number of nonworking household members) For the northeast section of Wheeler, the average household has six members and an annual income of $50,000. If each household has one working member, how many peak-hour social trips are predicted?
Pls ans only Q1 C, Pls do quick thanks
[T] The following table provides hypothetical data regarding the level of service for a certain highway. Plot vehicles per hour per lane on the x-axis and highway speed on the y-axis. Compute the average decrease in speed (in miles per hour) per unit increase in congestion (vehicles per hour per lane) as the latter increases from 600 to 1000, from 1000 to 1500, and from 1500 to 2100. Does the decrease in miles per hour depend linearly on the increase in vehicles per hour per lane? Plot minutes per mile (60 times the reciprocal of miles per hour) as a function of vehicles per hour per lane. Is this function linear? Highway Speed Vehicles per Hour per Lane Density Range (vehicles / mi) > 60 < 600 < 10 60 - 57 600 - 1000 10 - 20 57 - 54 1000 - 1500 20 - 30 54 - 46 1500 - 1900 30 - 45 46 - 30 1900 - 2100 45 - 70 < 30 Unstable 70 - 200
1. A total of 5,000 person-trips are made between a commercial district and a residential area during the PM peak hour. Commuters have two modes available, including private automobile and a light- rail transit system. The following utility function was calibrated using data from the study area from users of these two modes: U 3D -0. 50T1 — 0. 50T, — 2. 00С Data summarizing the operational characteristics and costs associated with each mode are provided in the following table. Private Light-Rail Parameter Automobile Transit = in-vehicle travel time (min.) 10 T1 T2 = excess time (min.) C = out-of-pocket cost (dollars) 15 5 10 5.00 2.00 Determine how many trips will be made by each travel mode based on these characteristics.
Define the following terms and cite examples of how they are used: 1. Average daily traffic (ADT)