RESUMO
Thessaloniki hosts one of the largest mobility living labs in Europe, aiming at fostering innovation to the mobility sector. Data is a key aspect of the living lab, allowing to depict mobility and congestion patterns to better manage traffic and support decision making. Most of the public and private stakeholders of the Thessaloniki mobility eco-system are part of the living lab and provide real-time data to the host of the living lab (CERTH-HIT), receiving added-value services from their participation. Thus, structured and unstructured Transportation and Mobility related datasets generated by various both conventional and innovative data sources, namely floating taxis and Bluetooth detectors, are being processed into "Thessaloniki's Smart Mobility Living Lab", the data analysis and modelling laboratory of the Hellenic Institute of Transport (HIT). As most datasets are usually generated by high-rate and high-density machines, an intricate and efficient back-end pipeline is in place to ensure the proper collection, transformation, combination, and processing of such datasets in almost real time. In addition, many static datasets are kept and updated regularly.
RESUMO
Aim: Ride-sharing is an innovative on-demand transport service that aims to promote sustainable transport, reduce car utilization, increase vehicle occupancy and public transport ridership. By reviewing ride-sharing studies around the world, this paper aims to map major aspects of ride-sharing, including online platforms, user factors and barriers that affect ride-sharing services, and extract useful insights regarding their successful implementation. Method: A systematic literature review is conducted on scientific publications in English language. Articles are eligible if they report a study on user factors affecting ride-sharing use and/or barriers preventing ride-sharing implementation; ride-sharing online platforms in these articles are also recorded and are further explored through their official websites. A database is built that organizes articles per author, year and location, summarizes online platform attributes, and groups user factors associated with the likelihood to ride-share. Findings: The review shows that the term "ride-sharing" is used in the literature for both profit and non-profit ride-sharing services. In total, twenty-nine ride-sharing online platforms are recorded and analyzed according to specific characteristics. Sixteen user factors related to the likelihood to ride-share are recorded and grouped into sociodemographic, location and system factors. While location and system factors are found to follow a pattern among studies, mixed findings are recorded on the relationship between sociodemographic factors and ride-sharing. Factors that may hinder the development of ride-sharing systems are grouped into economic, technological, business, behavioral and regulatory barriers. Conclusion: Opportunities exist to improve the quality of existing ride-sharing services and plan successful new ones. Future research efforts should focus towards studying ride-sharing users' trip purpose (i.e., work, university, shopping, etc.), investigating factors associated to ride-sharing before and after implementation of the service, and perform cross-case studies between cities and countries of the same continent to compare findings.
