A Tool and a Methodology for Optimizing Urban Freight Mobility through Crowdsourcing

fotis liotopoulos, Apostolos Georgiadis, Vassilis Kalaitzis, Ann-Marie Nienaber, Andree Woodcock

    Research output: Contribution to conferencePaperpeer-review


    This paper presents a methodology and results from a pilot demonstration for monitoring and optimizing combined citizen and freight mobility in urban envi-ronments through crowdsourcing. The pilot was conducted in the city of Kala-maria (Thessaloniki, Greece), within the H2020/CIVITAS/SUITS project using the web platform; an innovative tool for data collection, pro-cessing, and visualization of urban mobility.
    The proposed methodology aims to support mobility transformation and deci-sion making through the gathering and processing of crowdsourced floating car data (FCD) of citizen and freight mobility, from which integrated transport plan-ning can take place.
    The Kalamaria pilot demonstrated that, with proper incentivization, citizens, taxis and logistics companies can provide accurate and adequate data for monitor-ing real-time traffic conditions of a city’s entire road network. By segregating various traffic sources, freight traffic can be inter-correlated with other urban mo-bility patterns. This will enable city authorities tio effectively evaluate the impact of temporary or permanent mobility measures related to freight, e.g. route chang-es, delivery timeframes, loading/unloading zones, reduction of the number of freight trucks delivering within congested areas, etc., thereby resulting in the overall reduction of driven distances and travelling time, as well as improving ur-ban accessibility and speed of distribution of goods.
    Original languageEnglish
    Publication statusPublished - 19 Jun 2020
    Event5th Conference on Sustainable Mobility - virtual
    Duration: 17 Jun 202019 Jun 2020


    Conference5th Conference on Sustainable Mobility
    Abbreviated titleCSUM2020
    Internet address


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