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02-15-1996
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DRAFT <br /> November 21, 1995 <br /> C. Travel Demand Modeling <br /> • Travel demand modeling is the process by which socioeconomic data is changed <br /> to trip making dat in order to determine the ability of a roadway network to handle <br /> projected demands. The general practice is to follow a standard methodology of <br /> trip generation, trip distribution, modal split and trip assignment. Modal split <br /> analysis has a goal of estimating the effect of transit usage on the total number of <br /> vehicle trips placed on the network. In the case of Elk River, we conservatively <br /> estimated that transit usage would have a negligible effect - that by far the <br /> preferred means of transportation would remain the personal vehicle, as it is today. <br /> Many factors can influence the share of total person-trips that transit enjoys, <br /> including gas prices and fuel availability, transit routes offered, traffic congestion <br /> and "social desirability" of transit. By being conservative and estimating a limited <br /> impact of transit, we are not suggesting that it would not or should not play a <br /> significant role in Elk River. On the contrary, a good system will reduce energy <br /> dependence and traffic congestion. This is further discussed later in the report. <br /> As was shown in Figure 1, the travel demand modeling process was broken into <br /> two parts. First, the existing transportation system usage was replicated using <br /> existing socio-economic data. Trip generation, distribution and assignment <br /> calculations were adjusted as necessary to create a model that allocated traffic to <br /> the existing roadway network such that assigned volumes were as close as possible <br /> • to actual measured volumes. This was done to validate the travel behavior factors <br /> that would be used in the ultimate forecast. When enough adjustments had been <br /> made to arrive at a reasonably close replication, the socio-economic forecasts for <br /> ultimate development were used to create an ultimate travel demand forecast. The <br /> following sections describe the components of the process in greater detail. <br /> 1. Trip Generation <br /> In the trip generation process, generation rates are applied to the chosen <br /> socio-economic parameters to estimate the number of vehicle trips to and <br /> from each TAZ to be placed on the roadway network. A trip generated <br /> may be either a trip into or out of a TAZ; generally, no distinction is made <br /> when dealing with Average Daily Traffic (ADT) volumes. Rather, the <br /> reasonable assumption is made that in a given 24-hour period on a <br /> weekday, the total number of trips into and out of any TAZ is <br /> approximately equal. This is not the case in a peak hour analysis, where <br /> trips into and out of a TAZ can differ greatly depending on the types of <br /> generators it contains. The Elk River study was done using ADT volumes. <br /> The general reference used in determining trip generation rates was the 5th <br /> Edition of the Institute of Transportation Engineers Trip Generation <br /> • Manual, published in 1991. Information on generation rates for various <br /> land uses was obtained from this document and modified according to <br /> specific characteristics of the City of Elk River. <br /> CTP-230.156 -4- 230-156-80 <br />
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