AY1516 T2 Team WalkThere Methodology

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Overview

Review of Previous Work

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Methodology

Methodology

Part 1: Identify 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. These patterns are recognized by areas with high volumes of people commuting by bus using the ez-link data. We aim to identify any commonalities where people travel for short distances, with only a few bus stops, within journeys, as well as recognize what are the common places of interests that the various demographic groups frequent at and at what periods of the week.

Our data for this analysis consists of the following:

1.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.

2.Bus routes
Busrouters.sg is an online portal where bus routes in Singapore are displayed in a map version. Data for bus routes is public available by the developer. The bus routes are updated to the latest bus profiles provided by the Land Transport Authority (LTA). However, the bus routes are published in json format. In order for us to conduct geospatial analysis using QGIS, a conversion of json to csv format is required. Besides having the bus routes plotted out in lines using QGIS, we realized that it is also important to have the bus stops included in the bus routes, where points of the bus stops and lines of the bus routes are snapped as a whole. Busrouters.sg has provided data of bus stops for each bus services. With that information, our team will be working on incorporating bus stops with the routes using PostGIS and QGIS.

3.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 POI can be retrieved from data.gov.sg, Openstreetmap, Onemap and LTA Data Mall

Work Scope

Literature Study

To understand previous studies on walkability in Singapore and in other countries and to understand 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

We will be collecting data through 2 methods:
1) Going to Tampines to manually collate data with regards to:

Physical infrastructure	Walkways (Both covered and not covered) Traffic lights Pedestrian Crossings Overhead Bridges School Zones Street Lights Staircases Wheelchair-friendly slopes
Other types of data	Undeveloped footpaths

2) Collecting Data from URA with regards to the demographics of each residential block to help us better understand the distribution of people in the area of Tampines that we are analysing on.

3) Onemap:

Points of Interests	Elderly care Tampines North Primary School Dunman Secondary School Market and Grocery Stores Community Centres Parks Bus Stops Fitness Corner and Playground Sport facilities
Residential Blocks	To be identified

Data Exploration

Gaining insight from the data collected to understand how walkable residential areas are from the nearby facilities, cleaning and sieving out outliers, anomalies or wrong inputs.

Geospatial Analysis

Using QGIS, for the following: Map out paths that residents may take from their houses to identified points of interest Identify points of interest within 400 metres buffer radius from each residential block 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.

Proposed Timeline