Bus Travel Patterns of Migrant Workers Living in Woodlands Dormitories

An analysis of origin-destination bus travel data around migrant dorms in Woodlands.

Background

Migrant worker welfare was severly affected during the Covid pandemic. Many couples were disappointed when construction of BTO (build-to-order) flats was delayed because of the shortage of workers who were held in their dorms because of COVID. News like this revealed Singapore’s reliance on migrant workers in key areas like construction.

With the increasing awareness of migrant worker’s lack of welfare, this project came from an interest in the travel constraints of migrant workers to reach amenities like healthcare and groceries.

Goal

My goal was to understand the following.

1. What kind of amenities are around the migrant worker dorms in Woodlands?

2. Where do migrant workers travel to by bus, and what kind of amenities are there?

Data

1. Origin-Destination Bus Travel Data

I obtained bus origin-destination data from LTA’s open data platform, LTA DataMall. I was only able to obtain bus travel data for the months of July, August and September because of LTA’s limits.

Column Name	Data Type	Description
YEAR_MONTH	chr	Time in YY-MM format.
DAY_TYPE	chr	The category of data, indicates if the data is for weekdays or weekends.
TIME_PER_HOUR	num	Time of the data, from 0 to 23
PT_TYPE	chr	Public transport type, same value for all cells - bus.
ORIGIN_PT_CODE	num	Unique bus stop code from where the commuter boarded the bus.
DESTINATION_PT_CODE	num	Unique bus stop code from where the commuter alighted from the bus.
TOTAL_TRIPS	num	Total number of unique trips made from the same origin-destination pair for that month.

2. Open Street Map (OSM) Bus Route Data

I used Open Street Map to extract the bus routes that pass by the dormitories located around Woodlands industrial area.

Results

Amenities

Travel Patterns

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Summary

Migrant worker dormitories that are located deep within industrial areas lack access to amenities in general. This information may help NGOs such as Healthserve to prioritise the setting up of services close to dorms that require longer travel times to clinics and supermarkets.

Further analysis can explore the shortest route by bus from dormitories to amenities and compare it with those living in HDBs.