BURP Proposal

PROPOSAL

POSTER

PROJECT APPLICATION

RESEARCH PAPER

PROJECT DESCRIPTION

In recent years, the Ministry of Education (MOE) has been appointing new mergers between schools and relocating them. This is due to an increase in Singapore aging population hence, there are lesser residents that requires education services from nearby schools. So the government have been coming up with more school mergers and these schools include primary schools, secondary schools as well as junior colleges. The merging and relocation of schools would mean lesser schools in each neighbourhood. This would affect the students' accessibility to certain schools, especially those in primary schools where parents need to send their children to schools. With more upcoming mergers of school by MOE, it is important for the government and schools to know the inconvenience in terms of time and distance travelled caused by the mergers and implement measures to ensure that these areas have better accessibility. Thus, our team aims to identify the HDB residential areas that are affected due to the merger of schools and through our application, we hope these affected areas gain attention from government to improve on their current accessibility.

PROJECT OBJECTIVES

Our project aims to identify the accessibility of Singapore’s residents to schools through public transport. This could assist the Government or MOE to take note of the areas which can be improved to serve the citizens better. Through this project, we aim to:

1. Identify the accessibility of HDB residential areas to schools affected by the mergers.
2. Analyze and highlight the affected HDB residential areas
3. Building an application to project our ideas and insights obtained based on our findings.

PROJECT MOTIVATION

Our team have decided take up to take up this project topic due to several reasons. The reasons include the followings:

1. School mergers is an on-going plan by MOE and they have been planning to further increase the mergers due to the reduce in cohort size.
2. It is quite impactful for the current students and parents which schools have been shifted.
3. We are curious whether the MOE have ensure that there are equal accessibility for residents before assiging the mergers of the schools.
4. If there are no equal accessibility, we would like to know which part of the residential areas that are most affected by these mergers so that the government is able to assist them in terms of accessibility.

DATA PREPARATION

Calculations of HDB flats to Desired Schools

• Obtain the distance and duration from the HDB flat to the nearest public transport, capping the maximum walking distance to 1.6 km.
  
• Get the total distance and duration of the public transport of their origin to the nearest public transport of their destination. This distance and duration is computed through the use of 357 schools, 9966 HDB flats, and 3 different routes using different public transports.<bt>
• Obtain the distance and duration from the public transport to the school. For the walking distance, we would use walking/road path as means to reach the public transport/destination.
  

Servers

• Using OpenTripPlanner, we generate the different routes of the public transport on the map to get the duration and distance through running a local instance of OpenTripPlanner.
  

Files

• To reduce the time taken to process and load the application, we store data that are large into R objects (i.e. rds file) that could be restored easily.
  

DATA SOURCES

Data Set	Format	Attributes	Source Link
HDB Property Information	CSV	Block Street Residential Status	https://data.gov.sg/dataset/hdb-property-information
Postal Code Data	CSV	Address Block Latitude & Longitude Postal Code X & Y coordinates Road Name	https://docs.onemap.sg/#authentication-service-post
General Information of Schools	CSV	School Name Address Postal Code	https://data.gov.sg/dataset/school-directory-and-information?view_id=ba7c477d-a077-4303-96a1-ac1d4f25b190&resource_id=ede26d32-01af-4228-b1ed-f05c45a1d8ee
Route Data	CSV	Distance Duration Location Destination	https://cran.r-project.org/web/packages/osrm/index.html
General Transit Feed Specification	API	MRT Stops Bus Stops Location	https://transit.land/documentation/
OpenTripPlanner	PBF	MRT Stops Bus Stops Location Routes HDB	https://transit.land/documentation/

DESIGN ARCHITECTURE

USER INTERFACE

USERS' SETTINGS

Image	Explanation
	Explanation
	Explanation
Kernel Density of Residential HDB	Explanation
Hansen Accessibility	Explanation
Residential HDB	Explanation
Legend	Explanation
Map Type	Explanation
DataSet	Explanation

PROJECT MILESTONES

TASKS ALLOCATION

Iteration	Week	Task	In-charge
1 and 2	Week 2 to 7	Idea Development and Project Proposal	All
3	Week 8	Wiki Update (Project Assessment)	Rebecca
4	Week 9	Data Preparation	Peng Chong
5	Week 10 to 12	Application Development and Deployment	Brendo and Peng Chong
6	Week 13	Poster Submission	Brendo and Rebecca
7	Week 14	Final Project Paper Submission	All

KEY CHALLENGES

Key Challenges	Description	Solution
Cross Referencing of Data	As there are many datasets involved, it is difficult to cross reference the data as they are of different level.	Find more data online to merge connect the different data Consult prof for advise Find for packages helps to link data
Restriction of Public Api	To calibrate data on routes, we used public api. However, the public api do not allow us to call more than 10,000 times.	Host locally to call unlimited number of times.

FUTURE WORKS

The followings include the future works that our team can improve on or work on:

1. Getting the demand data of the schools and tying the accessibility with it to get more variable to quantify the importance of the school.  
2. Find out the accessibility of creating new public amenities and shopping malls
3. Ideal location to have public amenities