Difference between revisions of "AY1516 T2 Team CommuteThere Methodology"
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| − | This analysis aims to identify commuter patterns of each demographic groups - students, adults and elderly - as each group has differing interests and preferences in the places to frequent at. | + | This analysis aims to identify commuter patterns of each demographic groups - students, adults and elderly - as each group has differing interests and preferences in the places to frequent at. Data used for this methodology involves the ez-link and points of interests (POI) data. Given that the places that each demographic groups frequent at varies due to differing interests and preferences, to include points of interests (POI) in this analysis will be helpful to understand which places attract various groups of people at various periods of the week. With that, our team conclude that POI should be places that serve the primary needs of the people. |
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| + | Analysing commuter patterns is further segregated to two sub-methods: | ||
| + | ====1. Identifying common destination points==== | ||
| + | An initial analysis will be conducted to find out the common destinations that commuters travel to given that each demographic groups will have different needs and hence different places they frequent to. A heatmap of the common points will be visualized using QGIS. Areas with a darker intensity of colour would show the areas where many commuters alight at. | ||
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| + | ====2. Identifying travel patterns==== | ||
| + | Travel patterns are categorized into four different segments: Island wide, inter town, intra town and most frequently travelled trips, where commuters may travel just within Tampines planning area, or within the east region, or island wide. To do so, we will use QGIS to map out. | ||
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Analysis of commuter patterns is split into 4 segments: | Analysis of commuter patterns is split into 4 segments: | ||
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||Commuters who made the same trip for at least four times in a week can be categorised as such. The data for each demographic groups are analysed based on weekdays which has most of the activities reflected on | ||Commuters who made the same trip for at least four times in a week can be categorised as such. The data for each demographic groups are analysed based on weekdays which has most of the activities reflected on | ||
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Revision as of 15:33, 15 April 2016
Contents
Analyse Commuter Patterns
This analysis aims to identify commuter patterns of each demographic groups - students, adults and elderly - as each group has differing interests and preferences in the places to frequent at. Data used for this methodology involves the ez-link and points of interests (POI) data. Given that the places that each demographic groups frequent at varies due to differing interests and preferences, to include points of interests (POI) in this analysis will be helpful to understand which places attract various groups of people at various periods of the week. With that, our team conclude that POI should be places that serve the primary needs of the people.
Analysing commuter patterns is further segregated to two sub-methods:
1. Identifying common destination points
An initial analysis will be conducted to find out the common destinations that commuters travel to given that each demographic groups will have different needs and hence different places they frequent to. A heatmap of the common points will be visualized using QGIS. Areas with a darker intensity of colour would show the areas where many commuters alight at.
2. Identifying travel patterns
Travel patterns are categorized into four different segments: Island wide, inter town, intra town and most frequently travelled trips, where commuters may travel just within Tampines planning area, or within the east region, or island wide. To do so, we will use QGIS to map out.
Analysis of commuter patterns is split into 4 segments:
| Segments | Description |
|---|---|
| Island wide | Overall commuting activity for each demographic groups as a whole, regardless of place of origin. This will provide an overview of the commuters’ travelling pattern in Singapore. |
| Inter town | Travelling patterns of the commuters whose trips originate from Tampines planning area and end in the East region i.e Bedok,Paya Lebar, Changi, Pasir Ris |
| Intra town | Travelling patterns of the commuters whose trips originate and end in Tampines planning area i.e Tampines, Simei |
| Most frequent travelled trips | Commuters who made the same trip for at least four times in a week can be categorised as such. The data for each demographic groups are analysed based on weekdays which has most of the activities reflected on |
Work Scope
Literature Study
To understand previous studies on walkability in Singapore and in other countries, and the types of infrastructures that can be introduced so as to be able to make recommendations to improve the connectivity between residential estates and points of interest.
Software Learning
Learn how to use the QGis software, both on the laptop as well as on the mobile phone (to aid data collection)
Data Collection
Ez-link data will be provided by LARC while points of interests data sets are publicly available on Openstreetmap, Data.gov.sg, LTA data mall and Onemap. Pedestrian network will be manually mapped out through conducting site visits and with the integration of road network.
Data Exploration
Ez-link data of one week will be segmented into 3 sections for analysis: student, adult and elderly. Each team members has to identify trends and patterns for each profile groups with the use of analytics tools such as JMP and QGIS.
Geospatial Analysis
Using QGIS, for the following:
• Commuters behaviours throughout the entire one week.
• Map out paths that residents may take from their houses to identified points of interest
• Understand the coverage of street lamps to analyse the safety of walking paths at night. Through measuring the radius of coverage and the height of the lamp post, we can understand how the distribution of the lamp post should be placed.
