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The annual ICT4D Conferences have proven to be an invaluable opportunity for NGOs, private sector organizations, universities, governmental agencies and foundations to share their experience in using ICT to increase the impact of development programs and to learn from each other.  In 2016, 715 individuals from 76 countries and 301 private sector and public sector and civil society explored the ways to harness the full power of digital solutions to achieve the United Nations’ Sustainable Development Goals.  Our thanks to Accenture, Catholic Relief Services, Esri, Hewlett Packard Enterprise, iMerit Technology Services, Inmarsat, IS Solutions, Making All Voices Count, Mercy Corps, Microsoft, NetHope, Oxfam, Pandexio, Qualcom Wireless Reach, RTI International, SimbaNet and World Vision for making that possible.

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Thursday, May 19 • 14:45 - 15:30
Applying Predictive Analysis to Optimize Location of Food Distribution Sites LIMITED

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Limited Capacity seats available

CRS-Madagascar has received a Development Food Assistance Program funded by USAID. This project (Fararano) provides food rations to pregnant/lactating women and children under 2. Fararano plans to target 42,000 mother-child pairs by distributing food rations on a monthly basis from approximately 200 distribution sites.
Historically, distribution site selection is based on local context and includes basic criteria such as existence of large space, shelter, and water supply and often results in inadequate coverage of beneficiaries with some individuals having to walk 18 km (one way) to receive distributions. This has obvious implications including - Absenteeism from food distribution events, Increased fuel costs associated with returning remaining food, Commodity planning and supply chain disruption, Beneficiary women are exposed in high risk rape because they leave home at 4am to join the distribution site. Faced for these issues, CRS proposed applying geospatial analysis to help optimize site selection. Optimization was not based on average walk times but reduction of outlier walking distances. Our goals were to optimize the placement of distribution sites based on a maximum walking distance of 5km, to optimize the routes traveled by delivery trucks to the distribution sites, to increase the efficiency of all operations and transport. CRS contracted with ESRI to develop spatial tools to assist in food distribution site planning and management. The key tools to address this problem were Predictive Analysis toolset including the Speed Model Builder, Route Finder Tool and Distance/Speed Tool, classical analysis tools including Buffers, iFormBuilder integration tools developed by Esri Professional Services
Site selection, or suitability analysis, is the type of spatial analysis that we used to identify the best location for a particular facility or activity.
Goods distributions are common across many projects. A successful model using the GIS Solution and technology which are less expensive, scalable and sustainable could be readily adapted by other projects

Speakers
avatar for Daniel Andriantsimba

Daniel Andriantsimba

SARO Solution Architect, Catholic Relief Services
Daniel Andriantsimba is an Engineer with 15 years' experiences in IT with specialization in Gis. I have been with CRS since 2005 and supported the Country Program to promote the GIS and new technology used in multi-sectorial programs Co-speaker: Tohera Razafitsiarovana, ICT4D Specialist for CRS-Madagascar, she is a graduate in Master of Computer Science applied to GIS last year, and have eight years of experience in information system management
TR

Tohera Razafitsiarovana

ICT4D Specialist, Catholic Relief Servces (CRS)
Tohera Razafitsiarovana is an ICT4D Specialist for CRS-Madagascar. She graduated in Master of Computer Science applied to GIS last year, and have eight years of experience in information system management



Thursday May 19, 2016 14:45 - 15:30
Giraffe 203

Attendees (10)