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Planning for non-motorized travel in rural Nepal: a role for geographic information systems

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  • Devkota, Bhuwan
  • Dudycha, Douglas
  • Andrey, Jean

Abstract

This study uses a geographic information system to model mobility and accessibility as inputs to infrastructure planning in rural Nepal. The focus is on where to locate pedestrian bridges to improve access to schools and health services. Priorities are assigned to potential bridges based on an index of relative importance derived through use of a spatial interaction model. Despite differences in the number of schools versus health care facilities, there is considerable similarity between the spatial distributions of high and low priority bridge sites. However, even if all potential bridges are built, pockets of poor accessibility remain unless additional service centers are located in these regions. The analytical approach outlined here can provide easy-to-update, system-wide information that could be incorporated into local planning processes to help government officials and the public-at-large assess the benefits of different infrastructure scenarios.

Suggested Citation

  • Devkota, Bhuwan & Dudycha, Douglas & Andrey, Jean, 2012. "Planning for non-motorized travel in rural Nepal: a role for geographic information systems," Journal of Transport Geography, Elsevier, vol. 24(C), pages 282-291.
  • Handle: RePEc:eee:jotrge:v:24:y:2012:i:c:p:282-291
    DOI: 10.1016/j.jtrangeo.2012.03.007
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    References listed on IDEAS

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    Cited by:

    1. Malla, Sunil, 2014. "Assessment of mobility and its impact on energy use and air pollution in Nepal," Energy, Elsevier, vol. 69(C), pages 485-496.
    2. Banick, Robert & Heyns, Andries M. & Regmi, Suraj, 2021. "Evaluation of rural roads construction alternatives according to seasonal service accessibility improvement using a novel multi-modal cost-time model: A study in Nepal's remote and mountainous Karnali," Journal of Transport Geography, Elsevier, vol. 93(C).
    3. Andries M. Heyns & Robert Banick, 2024. "Optimisation of rural roads planning based on multi-modal travel: a multi-service accessibility study in Nepal’s remote Karnali Province," Transportation, Springer, vol. 51(2), pages 567-613, April.
    4. Zuo, Yufan & Fu, Xiao & Liu, Zhiyuan & Huang, Di, 2021. "Short-term forecasts on individual accessibility in bus system based on neural network model," Journal of Transport Geography, Elsevier, vol. 93(C).
    5. Diwakar KC & Tek Maraseni & Chubamenla Jamir & Ritendra Thapa Magar & Florencia Tuladhar, 2020. "Effectiveness of Gravity Goods Ropeways in market participation of smallholder farmers in uplands," Transportation, Springer, vol. 47(3), pages 1393-1414, June.

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