HighlightsHypothetical road pricing in Madrid could significantly decrease traffic congestion.A forecast model can estimate the positive effects of decreases in urban pollution.A pollution decrease is significant in peak hours.A pollution decrease is effective due to modal shifts toward sustainable mobility.The displaced pollution level is a risk factor that must be controlled.

    AbstractReducing the air pollution from increases in traffic congestion in large cities and their surroundings is an important problem that requires changes in travel behavior. Road pricing is an effective tool for reducing air pollution, as reflected currently urban road pricing outcomes (Singapore, London, Stockholm and Milan). A survey was conducted based on establishing a hypothetical urban road pricing system in Madrid (a random sample size n=1298). We developed a forecast air pollution model with time series analysis to evaluate the consequences of possible air pollution decreases in Madrid. Results reveal that the hypothetical road pricing for Madrid could have highly significant effects on decreasing air pollution outside of the city and in the inner city during the peak operating time periods of maximum congestion (morning peak hours from 7:00 to 10:00 and evening peak hours from 18:00 to 20:00). Furthermore, this system could have significant positive effects on a shift toward using public transport and non-motorized modes inside the hypothetical toll zone. This reveals that the system has a high capacity to motivate a decrease in air pollution and impose more sustainable behavior for public transport users.


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    Title :

    A forecast air pollution model applied to a hypothetical urban road pricing scheme: An empirical study in Madrid




    Publication date :

    2017-01-01


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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