Civil Technology for Sustainable Transport: showcase for crowdsourcing for Public Transport
Case study in Pittsburgh, more information available at http://www.smartcitiesdive.com/ex/sustainablecitiescollective/transit-crowdsourcing-and-universal-design/28292/
Helsinki Region Transport (HSL), joint local authorities in Helsinki, piloted a new instant feedbacks on ten buses in cooperation with two buses operators. During the pilot, passengers were able to give real-time feedback with their smartphones with the help of stickers (NFC, QR code or url).
Big Data Europe https://www.big-data-europe.eu/crowdsourced-public-transport-works-and-we-need-more-of-it/
Andrew Nash, “Crowdsourcing: it is arrived, are you on board ?”, Presentation at CIPTEC joint meeting with EMTA Annual members meeting in Budapest, May 2016 available at https://www.slideshare.net/andrewbnash/crowdsourcing-in-public-transport-its-here-are-you-on-board
The mitigation of the possibility for the user to use the crowdsourcing in a fraudulent way must be a target. Furthermore repeated use of the crowdsourcing tool by the same user to provide the same notification more times should be avoided. On the other hand, the use of the crowdsourcing tool must be simple and the users should be reminded by the crowdsourcing tool to send its input/feedbacks (i.e. once each five accesses, each time a specific functionality is used, etc.)
A suitable option for the implementation of a crowdsourcing tool is to manage this as functionality of a Public Transport information APP (and related back-end platform). The user should have the possibility to provide its feedback/input in a “smart” and “transparent” way (without additional efforts) just as a new step using the APP functionalities.
Crowdsourcing is a social innovation that allows the people who are actually using the product (transport) to feel that their voice can be heard and their opinion matters. The crowdsourcing can be used:
Location data can be sent together with the event notification (if the user accepted to provide this). Users must be aware that such data will not be used for tracking them or their travel behaviour.
The implementation can deal with different options: from dedicated platforms to on-line questionnaires linked to Google docs and access through social media account can be a scenario.
Data mining tools can be linked in order to extract knowledge from the data collect and cross-relate them with other info coming from ITS, staff notifications, etc.
A promotional campaign is a key action to involve as much Public Transport users as possible: this is a mandatory step in order to achieve mass large use of the crowdsourcing tool and then to gain a statistical consistency in the analysis of the collected data. The promotional campaign must include a clear explanation of user procedure (and use cases), a presentation of the benefits, the user will achieve in Public Transport daily use providing its own feedback/input and it must clarify how the privacy issue will be faced/solved. A check of privacy issue with legal support is recommended. Also incentives (in terms of prize, free tickets, rewarding, etc.) can be used to incentive the users to participate in the crowdsourcing campaign