WasteApp data
- 1. IDeTIC (ULPGC)
- 2. FPCT (ULPGC)
Description
This dataset was produced under URBAN-WASTES's WP5, which collected data to analyse the waste behaviour of the people using WasteApp. It did not collect any personal data but only statistical data. No e-mails, phone numbers or actual names were stored in the database. The users could use this aforementioned information as username, but the actual data stored in the database was a hashed version. Hashing is an injective transformation that cannot be reversed. Hence, if a hashed version of a full name were known, the actual input name could not be obtained.
The WasteApp databases comprise the following information:
City data. Each pilot city must input the following data in the database, regarding container information.
- Container ID
- GPS coordinates
- Type of container
Sponsor data. The information provided by sponsor companies, processed and stored by cities.
- Business ID
- Prize-collecting location GPS coordinates
- Offered awards
User data. Users were asked, after the installation of the App, to provide useful information to the project’s analysts. These data are the following:
- Gender
- Age range (segments to be defined)
- Type of visit (business, touristic, permanent or temporary resident)
- Date of the visit (automatically gathered)
- Duration of the visit (segments to be defined)
- Type of host (hotel, private house, collaborative hosting, other...)
- Nationality (from reduced list – European Union countries, USA, Canada, China, others)
- Education level (segments to be defined)
- Profession (segments to be defined)
- Technology usage level (automatically obtained by inference)
Each time a user throws waste into a container; the App must store the following information:
- Container ID (this ID directly refers to the information stored in the Containers Table, which is location and type of waste)
- Timestamp
Furthermore, the App asked the user to provide the following (if applicable):
- Container is in its predefined position?
- Hygienic conditions of the surroundings
- Is it in good state?
- Is it accessible?
Each time a user sorts waste, an amount of points would be earned. The users could then exchange these points for awards. The sponsors should provide the following information about the offered awards.
- Name of the award
- Amount of points
- Time of prize
- Sponsor ID
Each time a user retrieves a prize, the corresponding points would be extracted and an input in the dataset would be added, including the following information:
- Prize ID (this ID refers to the information introduced by the sponsor companies)
- Timestamp
- User ID
Files
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