Aayushman Pande (s4033125)
2024-10-29
Global connectivity has been transformed by air travel, which lets people rapidly cross great distances and promotes tourism, international business, and cultural interchange. Air travel has been especially important for economic development by linking nations and cities, generating employment in sectors including trade, travel, and hospitality, including Particularly in times of need, such as during humanitarian crises or medical emergencies, it has also given vital support for worldwide supply chains, so facilitating the quick movement of goods and resources.
Air travel does, however, have environmental drawbacks even if its advantages are evident. A major contributor to CO2 emissions, aviation fuels global warming and changes in the temperature. Burning fossil fuels, jet engines spew CO2 and other greenhouse gases into the atmosphere that affect the temperature and air quality. Growing demand for air travel results in corresponding emissions that challenge sustainability. The future of aviation still depends on finding a balance between social and financial advantages of air travel and environmental responsibility.
The aim of this visualisation is to provide a deep insight over the CO2 emissions due to aviation, for the year 2018. Four countries have been shortlisted for analysis and presentation purposes. The graphs in focus will comprise of air passengers from 1988 to 2018, CO2 emitted from the flights, both international and domestic, and a specific focus on domestic flights for the year 2018.
The aim of this visualisation is to provide insights over the number of passengers during air travel, from 1988 to 2018. The following is the code and the interactive line graph for visualisation
## Rows: 8315 Columns: 4
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): Entity, Code
## dbl (2): Year, Air transport, passengers carried
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.The aim of this visualisation is to provide analysis of Carbon Dioxide (CO2) emissions due to aviation in the four countries. The data includes both domestic and international travels and a focus is on the following countries: “United Kingdom”, “Australia”, “Russia”, “India”
## Rows: 108 Columns: 4
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): Entity, Code
## dbl (2): Year, Total aviation CO2 (Mt)
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Visualisation 3 is being used to demonstrate the percentage share of CO2 emissions from domestic air travel for the four countries.
## Rows: 108 Columns: 4
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): Entity, Code
## dbl (2): Year, Domestic aviation CO2 (Mt)
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.During 2018, India was the top contributor in air travels among the mentioned four countries. Additionally, the CO2 emitted due to domestic travel was highest in India. For both domestic and international travel, United Kingdom topped the bar graph. This shows that there is a need of possible ways and technological change, that would curb the CO2 emissions worldwide. Use of aviation fuel can be substituted with other forms of fuel for operation, but that needs technological research and development in the field of science.