CITATION.cff

cff-version: 1.2.0
title: ST0245
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Alejandro
    family-names: Ríos Muñoz
    affiliation: Universidad EAFIT
  - given-names: Marcela
    family-names: Londoño León
    affiliation: Universidad EAFIT
  - given-names: Juan Alejandro
    family-names: Ozorno Bustamante
    affiliation: Universidad EAFIT
repository-code: >-
  https://github.com/alejoriosm04/ST0245
abstract: >-
  Sexual harassment is a problem women experience in their daily life, this can include verbal and non-verbal abuse, and can take place everywhere, in Medellin “over 61,5% of women for certain neighborhoods manifest that they felt insecure to move around the city after 7pm” [10]. The importance of this problem is that the fear women experienced of sexual harassment, make them take a certain behaviour to prevent walking and passing by those places they’re more likely to be abuse, which affect their life opportunities and freedoms of mobility. Due to this, in order to make women feel more safe, this project and research is about using an algorithm that is able to calculate different paths depending on the distance and the sexual harassment of Medellin streets.
keywords:
  - Python
  - Shortest and Safest Path
  - Sexual Harassment
  - Medellin
  - Dijkstra