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Transportation Network Regulation for Air Pollution Minimization

In: Sustainable Logistics and Transportation

Author

Listed:
  • Manon Raap

    (Universität der Bundeswehr München)

  • Maximilian Moll

    (Universität der Bundeswehr München)

  • Stefan Pickl

    (Universität der Bundeswehr München)

Abstract

Densely populated areas are often associated with high pollution of the air. In order to decrease the air quality (health) index and thereby improve the quality of life, we aim to minimize air pollution of a transportation network especially in those highly air-polluted areas. Even though some transportation providers have invested to “green up” their operations, some can or will not sufficiently trade off their profit for reducing CO2 emissions. Therefore, governmental regulation on transportation routing is necessary. This chapter is concerned with a novel problem of optimizing a governmental regulation plan, by reducing the capacity of roads. The goal is to find a regulation plan that minimizes the air pollution in dense areas on the transportation network. As a result, transportation providers must reroute their trucks in order to disburden the highest polluted areas. We propose a mixed integer linear program to solve this problem and show the applicability and low computation times of our solution in computational experiments.

Suggested Citation

  • Manon Raap & Maximilian Moll & Stefan Pickl, 2017. "Transportation Network Regulation for Air Pollution Minimization," Springer Optimization and Its Applications, in: Didem Cinar & Konstantinos Gakis & Panos M. Pardalos (ed.), Sustainable Logistics and Transportation, pages 21-37, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-69215-9_2
    DOI: 10.1007/978-3-319-69215-9_2
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