Public Transport Accessibility in Python
Public Transport Accessibility in Python | by Milan Janosov | Apr, 2024 Towards Data Science
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In this piece, I explore the availability of public transport by using GTFS data and Python-based spatial analytics libraries.
Introduction
Accessible public transport is essential to any livable neighborhood and should be the focus of local governments and urban planners. In this article, I use Budapest as an example…
SDGs, Targets, and Indicators
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SDG 11: Sustainable Cities and Communities
- Target 11.2: By 2030, provide access to safe, affordable, accessible and sustainable transport systems for all.
- Indicator 11.2.1: Proportion of the urban population that has convenient access to public transport, by sex, age, and persons with disabilities.
The article discusses the importance of accessible public transport in creating livable neighborhoods. This aligns with SDG 11, which aims to make cities and communities sustainable. Specifically, the article focuses on the availability of public transport and its impact on accessibility.
Based on the content of the article, we can identify Target 11.2 as relevant. This target aims to provide access to safe, affordable, accessible, and sustainable transport systems for all by 2030. The article emphasizes the importance of accessible public transport, highlighting the need for local governments and urban planners to prioritize this aspect.
The article does not explicitly mention Indicator 11.2.1, but it implies the need to measure the proportion of the urban population that has convenient access to public transport. This indicator would help assess progress towards achieving Target 11.2 and ensuring that public transport is accessible to all segments of the population.
| SDGs | Targets | Indicators |
|---|---|---|
| SDG 11: Sustainable Cities and Communities | Target 11.2: By 2030, provide access to safe, affordable, accessible and sustainable transport systems for all. | Indicator 11.2.1: Proportion of the urban population that has convenient access to public transport, by sex, age, and persons with disabilities. |
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Fuente: towardsdatascience.com
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