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This scientific paper was developed by the Latin American Bike Knowledge Sharing LABIKS with peers, after analyzing the original database from the annual report called "Bike Sharing Systems in Latin America". In this repository you will find the code script (R version 4.0.4) that will allow you to replicate the methodology for data analysis and …

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GENERAL INFORMATION

This README file was generated on [2021-10-07] by [Authors].

This project is developed by the Latin American Bike Knowledge Sharing (LABIKS) with peer, after analyzing data from all in operation systems along the region. As a result of these analysis, we develop an annual report called "Bike Sharing Systems in Latin America" and we maintain an online map called "The Latin America Bike-sharing Map", which provides information from these BSS's.

Our intention is to increase the knowledge about this theme, and we aim to disseminate the acquired information and data to stimulate new ideas and new developments.

This repository contains all data bases used in the reports over the release year.

Last updated: [2022-02-04].

ABOUT THE PAPER*

title: "Latin American bike sharing ecosystem overview: from data collection to implementation model portraits" authors: "BINATTI, G. ; BATALHA, Y. ; DECASTRO, J. ; OLIVEIRA, M. H. S." journal: "URBE Brazilian Journal of Urban Management" ISSN: 2175-3369 site: www.scielo.br/urbe deposit date: ("2021-10-07")

CONTACT INFORMATION

name: Juliana DeCastro email: [email protected]

DATABASE GLOSSARY

In the Table 3, we describe the variables used in the study and the possible values for every system. This was necessary to data’s standardization.


Table 1. Study’s variables
Variables Description Answers values Answer description
System Bike Sharing System (BSS) name
Country Country where BSS is located
City City where BSS is located
Population BSS City or Metropolitan Area population
Type System type Dock based BSSs with stations
Dockless BSSs without stations
Dock Stations Number of stations
Virtual Stations Number of dockless virtual stations
Docks Number of docks available
Bikes Number of bicycles available
Operator System operator
Reponsible Entity Reponsible entities
Tecnology / Equipament BSS tecnologhy
Old Tecnology / Equipament BSS Old Tecnologhy
Sponsor System sponsor
Transit Integration Indicates if the BSS has tariff transit integration with the transit system Yes
with *** Integrated system with a specific card
No No Integrated system
Opening Hours System working hours
Fees System tariff plans
Payment Options System available payment options Credit Card
Debit Card
Over Time Additional Fee Overtime additional fee when it applies Yes
Yes, Hour’s penalty Systems with hours penalty for overtime
Yes, Days Penalty Systems with days penalty for overtime
No
Launched System release date
Shut down System termination
Relaunch System relaunch date
Description Re-launch Relaunch characteristics
Open Data System open data website
API/Data Available data format via API
Website System website
Last update LatinoSBP Last update date
Source Information’s sources

REPOSITORY CONTENT

Here you will find the repository's content along the years. The report will be released every year, using data from the past year.

For example: The report with 2019's data was release in 2020.


Table 2. Report 2019 - Contents
Content Type Format
BSS_LA_DataBase spreadsheet .csv
Systems_per_country image .png
Systems_type_per_country image .png
Systems_per_cities_population image .png
BSS_LA_Timeline image .png
Largest_LA_Systems image .png
Operators_type image .png
Sponsors_sectors image .png
LatinoSBP_Report_2019_EN text .pdf

License

CC-BY-NC The README is under a CC-BY-NC license. Usage by commercial entities is allowed, reselling it is not.

About

This scientific paper was developed by the Latin American Bike Knowledge Sharing LABIKS with peers, after analyzing the original database from the annual report called "Bike Sharing Systems in Latin America". In this repository you will find the code script (R version 4.0.4) that will allow you to replicate the methodology for data analysis and …

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