The following Jupyter Notebook is in charge of the analysis for the smart card systematic mapping review. This systematic mapping review aims to comprehensively examine the current state-of-the-art in using smart cards for analytical studies applied to public transportation research. The review focuses on identifying and analyzing the main analytical purposes, algorithmic approaches, methods, datasets, and trends employed in these studies.
The methodology followed the PRISMA statement for systematic reviews. This code is used for obtaining the results after extracting the data from the selected studies.
Python 3.11 was used for the analysis and the libraries and dependencies are defined in requirements.txt.
The main libraries used are:
Two sources of data available in the datasets folder:
- Extracted data from the selected studies.
datasets/Cleaned_data.xlsx - Bibliometric data from online databases.
datasets/savedrecs.txt
Some results are included in the Jupyter Notebook, like latex tables and extracted summaries, others like plots and diagrams are in the images folder
Jupyter Notebook is needed to open the provided code.
The python libraries dependencies are provided in the requirements.txt file and should be
installed using the command python pip install -r requiorements.txt.
The execution time is around 1 minute but could be slower the first time because some libraries need to download some files.