Difference between revisions of "AdvantAGE Proposal"
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| − | + | There is currently no interactive web based application that allows a user to analyse the connectivity of Singapore’s bus transport network, more specifically, the connectivity of a certain bus stop relative to the other bus stops across Singapore. | |
| − | + | While there are existing applications to map out the entire bus route for a selected bus, they do not provide a clear representation of the relative connectivity and are often restricted to reflecting the route for only 1 bus. | |
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| + | Therefore, proving it a challenge for city planners to accurately identify highly connected bus stops in order to facilitate their decision making process of whether or not to convert the bus stops of high centrality into a connecting point, or even a hub. | ||
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| <b>Data</b>||<b>Source</b>||<b>Type</b> | | <b>Data</b>||<b>Source</b>||<b>Type</b> | ||
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| − | | | + | |Location of Bus Stops || MyTransport.SG: DataMall || SHP |
| + | |- | ||
| + | |Bus Routes || Web scraping || | ||
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Latest revision as of 21:19, 10 April 2018
There is currently no interactive web based application that allows a user to analyse the connectivity of Singapore’s bus transport network, more specifically, the connectivity of a certain bus stop relative to the other bus stops across Singapore.
While there are existing applications to map out the entire bus route for a selected bus, they do not provide a clear representation of the relative connectivity and are often restricted to reflecting the route for only 1 bus.
Therefore, proving it a challenge for city planners to accurately identify highly connected bus stops in order to facilitate their decision making process of whether or not to convert the bus stops of high centrality into a connecting point, or even a hub.
| Data | Source | Type |
| Location of Bus Stops | MyTransport.SG: DataMall | SHP |
| Bus Routes | Web scraping |
Leaflet
Open Street Map
R Shiny
R STUDIO
1. Unfamiliarity with new software and programming language
2. Possibly insufficient data
3. Data Cleaning & Integration of data
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