THE GEOGRAPHY OF TRANSPORT SYSTEMS
Contemporary transportation networks are intensively used and congested at various degrees, notably road transportation systems in urban areas. What is less known is the spatial logic behind the generation, attraction and distribution of traffic on a network. There are two important concepts related with understanding traffic in transport systems:
However, a fundamental concept is absent, that is how traffic is distributed in a transport network when we know its structure, capacity and the spatial demand.
An assignment problem is the distribution of traffic in a network considering a demand between locations and the transport supply of the network. Assignment methods are looking for a way to model the distribution of traffic in a network according to a set of constraints, notably related to transport capacity, time and cost.
The purchase of a an airplane ticket is a classic example of traffic assignment. For instance, a potential traveler wishes to go from city A to city B at a specific date and around a specific time. A query to a reservation system (either through a travel agent or, increasingly, online) will offer a set of choices (paths) along with a price quote for each path. The traveler will likely chose the least expensive path, which may not necessarily be a direct path and may involve a transfer at city C. When tens of thousands of travelers make these decision each day, the assignment of passengers to paths (air service) become a very complex task for airline companies and their reservation (traffic assignment) system. On the other hand, airline companies use these decisions to adjust their transport supply (mainly planes) to match the demand as closely as possible. This type of problem can be solved using optimization methods.
Traffic is the number of units passing on a link in a given period of time and it is commonly represented by Q(a,b), that is the amount of traffic passing on the a,b link (between a and b). Units can be vehicles, passengers, tons of freight, etc. Because of the characteristics of transportation networks, there are two major types of traffic flows:
Traffic is not a spatial interaction as an interaction represents movements between locations (origins and destinations), while traffic represents movements on links of a network. Traffic could be similar to an interaction when the transport network is equal to the set of Origin / Destination (O/D) pairs, but this is very unlikely.
Traffic is assigned on a network according to a sequence of links where every link has its own value and direction where several conditions that must be satisfied:
There are also two general measures of traffic in a network:
When the load of a network reaches the maximal load, congestion is reached.
Traffic in a transportation network can be represented from two perspectives, traffic maximization and costs minimization. Traffic maximization involves the determination of the maximal transport demand that a network or a section of network can support between its nodes.
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It involves maximizing traffic for all links, where the traffic on links must be equal or lower to the capacity of the link. The heuristic method is the easiest way to solve this equation for simple networks. Cost minimization involves the determination of the minimal transport costs considering a known demand. Transport costs on a link are expressed by g(Q(a,b)) and the minimization function by:

The goal of this equation is to minimize the summation of transport costs (global cost) of each link subject to capacity constraints. Once again, the heuristic method is the easiest way to solve this equation for simple networks. Several types of costs are involved in the minimization procedure.