Urban Planning: a Game Theory Application for the Travel Demand Management

  • Mark Koryagin Laboratory of Modeling of Social, Economic and Industrial Systems, Kemerovo State Agricultural Institute, Russia


Urban infrastructure in the developing nations is generating a great number of environmental problems. Therefore, the problem of land distribution among road networks, parking spaces and landscaped parks is to be researched. The passenger behavior depends on traffic congestion, parking search time, public transport frequency, parking fee, etc. The travel mode choice model is described by logit function.
A city territory is subdivided into three districts, residential, central and industrial, each of them trying to develop and implement the optimal policy of land use. The district criterion includes residential travel times, congestion and impacts of the parks on the environment. Any district should solve the effective land use problem while the public transport system tries to find the optimal frequency.
The travel time depends on road capacity and is described by Greenshields model. The influence of parking capacity upon the parking search time is described by the BPR formula.
Participants’ solutions influence one another; therefore, the coalition-free game is constructed. The existence of Nash equilibrium is proved for districts, passengers and public transport. The numerical example shows the impacts of value of time (VOT), population density and parking fee rates on districts land use.

Keywords: land use, parking, urban transportation, public transportation, mode choice, environmental impacts, mathematical models, Nash equilibrium
Published online
How to Cite
Koryagin, M. (2018) “Urban Planning: a Game Theory Application for the Travel Demand Management”, Periodica Polytechnica Transportation Engineering, 46(4), pp. 171-178. doi: https://doi.org/10.3311/PPtr.9410.