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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Gig economy in Poland

Authors: Beręsewicz, Maciej;

Gig economy in Poland

Abstract

This repository contains four datasets about the number of active users of selected mobile apps purchased from Selectivv company (https://selectivv.com/). Details regarding the data may be found below: How data was collected: Selectivv uses programmatic advertisements systems that collect information on about 24 mln smartphone users in Poland Apps: Transportation: Uber, Bolt Driver, FREE NOW, iTaxi, Delivery: Glover, Takeaway, Bolt Courier, Wolt; Unit: an active user of a given app. Active = used given app at least 1 minute in a given period (e.g. 1 unit during whole month, half-year). Period: 2018-2018; monthly and half-year data Spatial aggregation: country level, city level, functional area level, voivodeship level. Functional area is defined as here https://stat.gov.pl/en/regional-statistics/regional-surveys/urban-audit/larger-urban-zones-luz/ Activity time: measured by activity time of given app (in hours; average and standard deviation) Datasets: gig-table1-monthly-counts-stats.csv -- the monthly number of active users; gig-table2-halfyear-demo-stats.csv -- the half-year number of active users by socio-demographic variables; gig-table3-halfyear-region-stats.csv -- the half-year number of active users by spatial aggregation; gig-table4-halfyear-activity-stats.csv -- the half-year activity time by working week, weekend, day (8-18) and night (18-8). Detailed description: 1. gig-table1-monthly-counts-stats.csv Structure: month - YYYY-MM-DD -- we set all dates to 15th of given month but actually the data is about the whole month (active users in whole period); 2018-01-15 to 2021-12-15 app -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt) number_of_users -- the number of active users category -- Transportation, Deliver 2. gig-table2-halfyear-demo-stats.csv Structure: gender -- men, women age -- 18-30, 31-50, 51-64 country -- Poland, Ukraine, Other period -- 2018.1, 2018.2, 2019.1, 2019.2, 2020.1, 2021.2 apps -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt) number_of_users -- the number of active users students -- the share of students within a given row parents_of_children_0_4_years -- the share of parents of 0-4 years children in a given row parents_of_children_5_10_years -- the share of parents of 5-10 years children in a given row women_planning_a_baby -- the share of women planing a baby in a given row standard -- the share of standard smartphones in a given row premium_i_phone -- the share of iPhone smartphones in a given row other_premium -- the share of other premium smartphones in a given row category -- Transportation, Delivery 3. gig-table3-halfyear-region-stats.csv Structure: group -- Voivodeship, Functional Area, Cities period -- 2018.1, 2018.2, 2019.1, 2019.2, 2020.1, 2021.2 region_name: Cities -- Białystok, Bydgoszcz, Gdańsk, Gdynia, Gorzów Wielkopolski, Katowice, Kielce, Kraków, Łódź, Lublin, Olsztyn, Opole, Poznań, Rzeszów, Sopot, Szczecin, Toruń, Warszawa, Wrocław, Zielona Góra Functional Area -- Functional area - Białystok, Functional area - Bydgoszcz, Functional area - Gorzów Wielkopolski, Functional area - GZM, Functional area - GZM2, Functional area - Kielce, Functional area - Kraków, Functional area - Łódź, Functional area - Lublin, Functional area - Olsztyn, Functional area - Opole, Functional area - Poznań, Functional area - Rzeszów, Functional area - Szczecin, Functional area - Toruń, Functional area - Trójmiasto, Functional area - Warszawa, Functional area - Wrocław, Functional area - Zielona Góra Voivodeship -- dolnośląskie, kujawsko-pomorskie, łódzkie, lubelskie, lubuskie, małopolskie, mazowieckie, opolskie, podkarpackie, podlaskie, pomorskie, śląskie, świętokrzyskie, warmińsko-mazurskie, wielkopolskie, zachodniopomorskie apps -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt) number_of_users -- the number of active users category -- Transportation, Delivery Please note that: the number of active users in a given functional area = number of active users in a city and a functional area of this city the number of active users in voivodeship = number of active users in a city, its functional area and the rest of the voivodeship where this city and functional area is located More details here: https://stat.gov.pl/en/regional-statistics/regional-surveys/urban-audit/larger-urban-zones-luz/ 4. gig-table4-halfyear-activity-stats.csv Structure: period -- 2018.1, 2018.2, 2019.1, 2019.2, 2020.1, 2021.2 apps -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt) day -- Mondays-Thursdays, Fridays-Sundays hour -- day (8-18), night (18-8) activity_time -- in hours statistic -- Average, Std.Dev. (standard deviation) category -- Transportation, Delivery

The project was financed within the Regional Initiative for Excellence programme of the Minister of Science and Higher Education of Poland, years 2019-2022, grant no. 004/RID/2018/19, financing 3,000,000 PLN

{"references": ["Ber\u0119sewicz, Nikulin, Szymkowiak and Wilak, (2021) The gig economy in Poland: evidence based on the mobile big data, Working paper, URL: https://arxiv.org/abs/2106.12827"]}

Keywords

gig economy, smartphone data, platform economy

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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