Small World connectivity in rural road networks
This study was based on GIS mapping of a taluk in Tamil Nadu. The mapping was done painstakingly of roads (cemented or mud) and village boundary (which is particularly hard to define, nobody really knows!) – most of this work is done visually.
The surprising math of cities and corporations. <TED talk>
The math of village structures and how it grows outs is equally fascinating and probably more diverse. Have a look at some satellite images of
READ MORE : Who is getting the jobs? | Kabaddi: An Honest Indian Sport
Ultimately to address questions such as
- Will the addition of a new road dramatically change the livelihoods of the village residents?
- How will a new idea/product spread through the rural network?
- To map village road networks using existing maps to understand road connectivity in rural India.
- Develop measures to estimate ‘urbaness’ of a region/taluk
Road connectivity information between 120 villages in Vadipatti Taluk, Tamil Nadu, INDIA. Road distance between nearby villages.
- We had the distance measures between nearby villages. Using Djiktras algorithm to calculate distance between any 2 villages. Eg, Suppose we know the distance between places A & B and places B & C. Given this information, Djiktras algorithm will help calculate the distance between places A & C.
- Dendrogram clustering to group villages by their nearness
- Designing Derived Variables : Distance between villages by road / As the crow flies distance might be a good measure of urbaness. To test this hypothesis we should measure this metric for more taluks (requires future work)
- Surprisingly, we found a tight (somewhat linear) relationship. This means given the GPS location of 2 villages, we can estimate the road distance without actually having the road information.
Connectivity of Villages
- ‘Small-world’ kind of network with groups of 10-20 villages closely connected (nearby, blue) with each other and weakly connected (far away, red) to other villages.