AY1516 T2 Team CommuteThere Methodology
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. 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 |
Our data for this analysis consists of the following:
Ez-Link Transactions
With the support from LARC, we were able to obtain ez-link transactions data from 20 to 26 January 2014. We have selected just a week of data in January 2014 because the travelling patterns for each week in a month are similar and there are neither no public holidays nor school holidays in the selected week for analysis. However, regardless of scaling down the data into just a week’s period, there are still millions of transactions presented. As such, analysis of the data will be further scaled down to grouping the transactions based on demographic profiles, followed by aggregating the timings of transactions to every 15 minutes given that the timings presented come in seconds.
Points of interests 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. As such, POI include: MRT stations Schools (primary, secondary, pre-tertiary and tertiary education) Shopping malls Sports complex Parks Childcare Community centers Shapefiles for the identified POIs can be retrieved from data.gov.sg, Openstreetmap, Onemap and LTA Data Mall.
Identify common destination points We will conduct an initial analysis to find out the common routes that passengers take, within Tampines, and from Tampines to the other parts of the East Region. This will help us to understand the commuter patterns within Tampines and between Tampines and the East Region. To do so, we will use QGis to map out
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.
