Objective: To geovisualise the targets for public notification in times of emergency blood demands.

  1. As per Singapore’s HAS(Health Services Authority),only 1.87% of total Singapore’s population donated blood in 2016. This needs to be improved for future readiness.Emergency blood demands in hospitals increase in times of epidemics like SARS,swine flu etc.Though blood banks are reached out by the hospitals for meeting demands ,but voluntary donors’ blood collection can help in such situations.

In times of emergency blood demands in a hospital,if a public notification geotargeted to the people around a hospital zone is sent,it is more likely that the people  in hospital’s proximity will be able to reach the hospital quicker than the ones far away.

This objective of this blog is to geovisualise the targets for such public notification.

2.  Also,as per the HAS’s report, the maximum blood collection happens from Bloodmobiles.It will be more efficient to send bloodmobiles for donation drives to the places, where more  people are aggregated i.e the population hot spots.

pic1Data Sources:

Dataset description Data Source URL
Datapoints of all class students (to simulate the geotargeting) IVLE (Apps used : Openpaths,Moves,FollowMe)
Singapore Planning Area subzones Boundary https://data.gov.sg/dataset/master-plan-2014-planning-area-boundary
Singapore Streets,Hospitals,Bloodbanks in Singapore,MRT routes,lines,bus stops https://data.gov.sg/



Plotting students’s movement data points, Singapore subzones,MRT lines routes.


Optimised Hot – Spot analysis for the students’ datapoints.

Purpose-To geovisualise the population hot spots.


Geovisualisation:   Building virtual geofences around hospitals is shown in below picture.Datapoints entering within these geofences will be targeted for public notifications.




Conclusion/Study extension : The process to target the population in a geofence for emergency public notifications was geovisualised.GeoEvent server can be used to visualise Geofences.

The population hot spots was geovisualised using the student’s location samples. The periodic population hot spots can be targeted to improve effectiveness of blood donation drives.


The published maps can be viewed online:https://pixels.maps.arcgis.com/home/item.html?id=49d9cdb1e89f421086e1dc28d80223c0#overview

Submitted By:

Name       Student ID
Arti Tyagi  (A0163343L)
Kriti Srivastav (A0163206N)
Pooja Gupta (A0163281J )
Sowndarya  (A0163229E )
Terence Ng  (A0035506M )

NUS- ISS Course – M.Tech.  Full Time

(National University of Singapore – Institute of Systems Science)