Orange County NC Website
Trip Distribution <br /> The trip distribution model is referred to as the Gravity Model because it <br /> distributes trips between zones in a manner analogous to Newton's Law of Gravity, <br /> i.e., the number of trips between any two zones is directly related to each's size <br /> (productions and attractions) and inversely related to the distance between them. <br /> The trip generation phase provides the size information. The distance information <br /> is provided by the development of an analysis network which is a computerized <br /> facsimile of the study area's street and highway system. From this network, the <br /> computer calculates the minimum path (and related travel time) between any two of <br /> the area's 600 zones and 45 stations. <br /> An important part of the process of calibrating the model includes developing <br /> travel impedance curves for each trip purpose which control the length of trips <br /> distributed. If the average trip length is too long, the network will be <br /> over-assigned with trips going too far and vice-versa. To achieve calibration, the <br /> average trip length was about ten minutes. <br /> The result of the trip distribution phase is a trip table which includes numbers of <br /> vehicle trips for all possible combinations of zones and/or stations for each of <br /> five trip purposes (Internal - HBW, ORB, & NHB, External-Internal, and Through). <br /> Trip Assignment <br /> The trips are assigned to the network in a variety of ways, some of which consider <br /> congestion and alternative routes and some of which don't. Both techniques <br /> provide useful information to the analyst. Knowing where travel desires to go if <br /> congestion were not a consideration emphasizes preferred routes whose integrity <br /> should be safe-guarded. <br /> The consequences of not providing sufficient capacity on a particular major route <br /> can be assessed by considering congestion in the assignment technique. Knowing <br /> to where traffic would shift to avoid congested facilities helps to identify <br /> measures to protect neighborhoods from cut-through traffic resulting from <br /> inadequate major thoroughfares. <br /> The model was calibrated to 1985 conditions by comparing the models synthesized <br /> traffic patterns to those actually measured and adjusting several of its <br /> parameters until these patterns sufficiently matched. The corresponding landuse <br /> data for the design years (2000 and 2010) were then similarly transferred into <br /> projected travel patterns for use in the later stages of this study. Chapter 4 <br /> discusses the development of these landuse projections. Chapter 5 discusses the <br /> related travel patterns and assesses the deficiencies in the area's thoroughfare <br /> system and current plans for its improvement. <br /> 3.2 <br />