Developing a computer-aided methodology for district road network planning and prioritization in Nepal

Shrestha, Chandra Bahadur

doi:10.1016/j.ijtm.2004.01.001

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…This sub-criterion is specified by the population of the area within the road corridor of five kilometer (two hours walking distance), which is considered as the influenced area of the project [32]. The population is taken from the latest census and projected to the required year of calculation.…”

Section: Population Served Per Kmmentioning

confidence: 99%

“…Similarly, achievement of goals, cost, economic viability, financial viability, technical viability, operational viability, operational cost, multimodal transfer, sustainability, environmental impact, resettlement impact and social impact are used North South fast track, an important project to link the Kathmandu to southern part studied by Asian Development Bank [21]. Dr. Chandra Shrestha proposed in his research, Cost-benefit criteria in developed areas and agricultural potential, interaction, accessibility and environmental impact in theunderdeveloped areaand tested these criteria in one district of Nepal [22].…”

Section: Introductionmentioning

confidence: 99%

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Multi-criteria Evaluation for Ranking Rural Road Projects: Case study of Nepal

Bhandari¹,

Shahi²,

Shrestha³

2014

IOSRJMCE

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Section: Population Served Per Kmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-criteria Evaluation for Ranking Rural Road Projects: Case study of Nepal

Bhandari¹,

Shahi²,

Shrestha³

2014

IOSRJMCE

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“…However, the main difficulty is the estimation of proportionality parameter (k) and exponent of distance (b) in equation (9), the value of b is assumed as 2 in some studies (Jung et al, 2008, Shrestha, 2003 and k can be taken as constant. The model can also be used in traffic flow estimation between two nodal points in a rural road network.…”

Section: Gravity Modelmentioning

confidence: 99%

Rural Road Network Decision Model for Hilly Regions of Nepal

Shrestha¹

2018

J. Adv. Coll. Engin. Mgt.

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Transportation cost is one of the major costs for public and private sectors in rural areas of developing countries (in order to deliver goods and services). This is due to the absence of links or to their poor physical conditions (such as road surface in a road network). To reduce the operation costs in existing links better road surfaces are needed. However, only some links can be improved or constructed to the best surface level at the same time, due to resource constraints. Hence, a careful decision about which links should be improved or constructed to achieve the minimum transportation cost is needed. This paper presents a decision support model for a rural road network that provides portfolio of suggested links for road network improvements or constructions and offers solutions for different budget levels minimizing the transportation cost in the rural road network. Mixed integer programming is used to get an optimal solution.

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“…The maximum coverage distance is fixed in the ranges from 0.5 km to 5 km. The value corresponds to the average human walking speed which is 5 km/hour (Shrestha, 2003). Relaxing the service distance allows covering much more habitations, but the difficulty to achieve facility rises accordingly, which is not desirable.…”

Section: Fig 2 Accessibility Levels From the High School Facilitymentioning

confidence: 99%

Design optimal rural road network using GIS

Modinpuroju

Prasad

2017

AoT

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To have an effective development among the isolated, remote areas, rural transportation is recognized as a key factor. Efficient rural transportation depends largely on a well-knit road network to provide accessibility and mobility in rural areas. This work affords an applied method for the development of rural road networks in rural areas of developing countries. The proposed methodology enables to determine nodal points in the rural road network based on the facility index of the settlements. The rural road network is generated by connecting the nodal points by minimum travel time path in Geographical Information System (GIS). Spatial analysis is carried out in the study area to identify the Desirable Coverage Distance of the Facility(DCDF). The Village Facility Index (VFI) is calculated by considering the desirable coverage distance. The suggested methodology is simple and practical, hence, highly applicable to real-world scenarios, as demonstrated in the definition of the road network for the rural areas.

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Developing a computer-aided methodology for district road network planning and prioritization in Nepal

Cited by 9 publications

References 3 publications

Multi-criteria Evaluation for Ranking Rural Road Projects: Case study of Nepal

Multi-criteria Evaluation for Ranking Rural Road Projects: Case study of Nepal

Rural Road Network Decision Model for Hilly Regions of Nepal

Design optimal rural road network using GIS

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