Rural road connectivity using clustal algorithm

Rural road connectivity has a significant influence, according to a number of recent studies, on the rate of growth of rural incomes and reduction in rural poverty. Developing rural infrastructure is essential for sustainable development of a rural economy, and an efficient transportation network plays an important role in the overall development of a nation's economy. Serious thought, in a scientific way, as to the planning of rural road networks in terms of the current scenario in India is needed. The cluster analysis approach is presented here for optimal rural road network planning of the Bangalore Urban District of Karnataka State. Non-hierarchical clustering based on natural seeds is the basis of the study. Grouping is done according to cluster analysis for villages having similar characteristics in terms of demographic and socioeconomic factors. For prioritizing villages and planning of the network, the stable cluster pattern is used. Village grouping and prioritization is also done on the basis of utility value approach, as suggested by the Rural Roads Manual Indian Roads Congress (IRC) SP-20 (2002). Two methods are used to evaluate the two networks: graph theoretic indices for connectivity and saturation (or maximum utility) system. When compared with the network developed by utility value approach, the one developed by cluster analysis approach yielded better results.

  • Availability:
  • Authors:
    • Amarnath, M S
    • Raji, A K
    • Rejani, V U
  • Publication Date: 2011-6


  • English

Media Info

  • Media Type: Print
  • Features: Figures; Maps; References; Tables;
  • Pagination: pp 43-54
  • Serial:
    • Indian Highways
    • Volume: 39
    • Issue Number: 6
    • Publisher: Indian Roads Congress
    • ISSN: 0376-7256

Subject/Index Terms

Filing Info

  • Accession Number: 01350745
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 30 2011 1:44PM