REMGIS Proposal

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RESEARCH PAPER

Under the Urban Redevelopment Authority (URA) masterplan that was first released in 2008, URA has been making continuous efforts ever since to grow new employment centres outside the current Central Business District (CBD) in Singapore. This initiative has led to the development of Singapore’s second CBD in the areas of Jurong Lake, together with Jurong East. These joint areas known as the Jurong Lake District, aim to replicate the same amount of success, synergy and vibrancy of the first CBD, or even better. For this to be done successfully, our group aims to conduct thorough analysis and evaluations of the factors that made Singapore’s first CBD the success that it is today.

This project aims to achieve the following objectives:

1. Analyze the factors that make Singapore’s CBD successful

 a. Identify and study the make-up of professional services within Singapore’s CBD
 b. Examine the landmarks that contribute to the CBD’s success
 c. Understand the factors that influence business locations

2. Replicate and evaluate Singapore’s CBD success factors to the upcoming second business district - Jurong Lake District

S/N	Description	Source
1	Legal	http://www.yellowpages.com.sg/search/all/Legal
2	Bank	http://www.yellowpages.com.sg/category/banks
3	Accountancy	http://www.yellowpages.com.sg/search/all/Accountancy
4	Architectural	http://www.yellowpages.com.sg/search/all/Architectural
5	Management Consultancy	http://www.yellowpages.com.sg/search/all/Management+Consultancy

S/N	Challenges	Solutions
1	Data Scraping API is not readily accessible from Yellow Pages	Explore web scraping techniques in Python and R Lookup Stack Overflow's website for existing samples to test Perform additional data cleaning accordingly for records that are inaccurate, incomplete or inconsistent
2	Geocoding from postal codes to X and Y coordinates to perform thematic mapping	Study external geocoding APIs and adopt one Write a test application to geocode postal codes using the selected API Apply knowledge to project
3	Inexperienced with R Shiny package and R programming	Study R Shiny package and how to use it by going through its documentation and tutorials Self-directed learning on DataCamp​ Refer to past year projects for UI inspiration​ Meet Prof Kam for consultation​
4	Unfamiliar with the implementation of spatial analysis methods such as: Location Quotient K-Means Kernel Density Estimation	Conduct research on R packages which provide the functions that are mentioned Study how similar projects make use of the functions and packages​ Go through documentation and tutorials​ Write test applications to familiarize with the packages​ Consult Prof Kam on major roadblocks​

Your comments will be helpful for us to improve our project.

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