The core of the methodology is • In order to have access to the database crowdsourcing which is mainly going to take and publish their memories, citizens should place through a web-platform. This is going be registered in the platform, by using to be the “key” in in interaction between their email address. Registration is free citizens and decision makers. Through this and they should provide a username and platform, researchers who are interested a password. It would crucial if some other in knowing what memories a person has information were provided, like: gender, in specific places of the communities, can age and education level (just for statistical access to that. More specific: analysis). • The platform we propose to be developed • After a memory is public, it will be possible could be similar to other crowdsourcing for everyone access to the web-platform to platforms used for mobility projects find all the memories published. Users can (co-ordinated by the NTUA, Greece, i.e. also react to others’ memories (like, dislike, http://www.zografoumobility.gr). Such a etc), as it happens in Social Media platforms platform can give the opportunity to the (i.e. Facebook, Instagram, etc). Most users to: (a) write their memories in a short famous memories will be first presented on text, (b) upload photos or other scanned the web-platform website. documents related to their memories, (c) upload a short video or sound file related • Information about the research, the aim to their memories. Users can use even all and the objectives as well as the expected those tools, at the same time. Those files results can be mentioned on the website. (texts, pictures, videos, sounds) are going to Taking into account that, in cases such located on a map and then they can publish platforms used, users did not have any their memories’ files and make them public. problems in get access and use them, we believe that it would friendly to the users. • Users could also mention how they feel when they publish each memory. You can see some similar apps, like: EmojiMap. REFERENCIES Aletta F, Masullo M, Maffei L et al (2016) Garcia-Martí I, Torres-Sospedra J, The effect of vision on the perception Rodríguez-Pupo L E (2014) A comparative of the noise produced by a chiller in study on VGI and professional noise data. a common living environment. Noise Control Engineering Journal. Pödör A, Révész A (2014) Noise map: Professional versus crowdsourced data. Bakogiannis, E., Siti, M., Kyriakidis, C. et al (2017) Tools and technologies Pödör A. Révész A, Oscal A et al (2015) for enhancing public enagement in Testing some Aspects of Usability of Sustainable Urban Mobility Plans: The Crowdsourced Smartphone Generated case of Rethymno, Crete. Noise Maps. 41