This work has been submitted in partial fulfilment of the requirements of the Masters Degree in Urban Data Science and Analytics of the University of Leeds.
- Date of submission: 14 May 2024
- Author: Subaru Shimizu
- Grade: 85/100
JupyterNotebook is available.
Overview:
This work sheds light on the disparity in school travel between urban and rural areas. Students in rural areas often experience more extended school travel and unfavourable walking conditions due to inadequate pavement and road safety concerns. Given the budgetary constraints of the local governments, one potential policy is to enhance public transport services and utilise them for school trips. This work aims to address the issue by identifying the areas with higher priority for enhancing school travel environments through enhancing public transport services.
- Topic: Urban policy, Student Travel, Public Transport
- Keywords: Geospatial analysis, Spatial composite indexing with demographic data, Network analysis with GTFS data
Visualisations of Results:
Priority Quintile Rank of Four Input Variables
- School Accessibility
- Public Transport Availability
- Road Safety
- Student Distribution
Priority Quintile Rank of Priority Index
Disclaimer:
- This work is for educational and informational purposes only. The author makes no warranties or representations about the accuracy, reliability, or completeness of the code.
- The author does not take any responsibility for any direct, indirect, incidental, or consequential damages and losses from the use of the work.
- The work is not to be reused, modified, or redistributed without explicit permission from the author.