Development of a Need-Based Approach for Rural Road Network Planning

Kanuganti, Shalini; Dutta, Bhupali; Sarkar, Anish; Singh, Ajit Pratap

doi:10.1007/s40890-017-0044-y

Cited by 8 publications

(8 citation statements)

References 3 publications

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“…Several studies have been conducted on the prioritization or ranking of rural roads for upgrade and have applied diverse methodologies such as cost-benefit analysis (CBA) (van de Walle, 2002); Integrated Rural Accessibility Planning (IRAP) (Sarkar & Ghosh, 2000;Sarkar & Dash, 2011); multi-criteria decision analysis (MCDA) (Bhandari et al, 2014;Dalal et al, 2010;Kanuganti et al, 2017;Bhandari et al, 2016;Ndume & Mlavi, 2017). Other studies have used methods that are descriptive and less formal (Airey & Taylor, 1999;Kumar & Kumar, 1999;Mikou et al, 2019).…”

Section: Review Of Literaturementioning

confidence: 99%

“…In terms of geographic spread of studies, most MCDA studies on prioritization or ranking of rural roads are carried out in Asia. Specifically, in India (Rao et al, 2003;Garg, 2008;Dalal et al, 2010;Modinpuroju et al, 2016;Kanuganti et al, 2017); Nepal (Bhandari et al, 2014(Bhandari et al, , 2016Bhandari & Nalmpantis, 2018); the Philippines (Castro & Vistan, 2020). Studies in sub-Saharan Africa are scarce (Ndume & Mlavi, 2017), hence the need for this study.…”

Section: Review Of Literaturementioning

confidence: 99%

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An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria

Akpan

Morimoto

2022

Socio-Economic Planning Sciences

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Section: Review Of Literaturementioning

confidence: 99%

Section: Review Of Literaturementioning

confidence: 99%

An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria

Akpan

Morimoto

2022

Socio-Economic Planning Sciences

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“…This is actualized in terms of an increase in the number of school-going children due to the reduction in travel time to reach the facility ( Khandker, Bakht, & Koolwal, 2009). The same holds in the case of access to a health facility, individuals can get medical treatments at the first call due to good road connectivity (Porter, 2012;Tunde & Adeniyi, 2012;Kanuganti et al, 2017;. Thus transportation and road infrastructure play an important role in the overall development of a rural town or urban city (Jittrapirom & Jaensirisak, 2020).…”

Section: Introductionmentioning

confidence: 99%

Socio-economic impacts of low-volume roads using a mixed-method approach of PCA and Fuzzy-TOPSIS

Wagale

Singh

Sarkar³

2021

IRSPSD International

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The present study proposes a novel mixed-method approach to ascertain and explore the socio-economic indicators, which help in assessing the impacts of the construction of rural roads. Rural road infrastructure often has direct or indirect socio-economic impacts (SEIs) on the target population. Assessment of SEIs poses a wide range of challenges due to their multi-dimensional nature of various factors and their qualitative and quantitative evaluation process. Thus, the present study suggests a unique mixed-method approach to integrate multivariate techniques under a multi-criteria fuzzy framework. The applicability of this approach is demonstrated by employing a case study of roads constructed under the Pradhan Mantri Gram Sadak Yojana (PMGSY) in the Jhunjhunu district of Rajasthan, India. The findings of the study analysed a total of 33 sub-criteria associated with five main indicators, impacted by the construction of PMGSY roads. Sub-criteria contributing to education facility and quality of neighbourhood have been found as the most significant effects. The results of the analysis presented in this study would benefit the respective State Governments to achieve sustainable rural development.

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“…They play a vital role in generating employment opportunities for rural communities through integrated road networks (Gachassin et al, 2010;Rand, 2011). Rural roads significantly assist in distributing services to rural inhabitants (Aderamo & Magaji, 2010) and provide numerous income opportunities (Kanuganti et al, 2017;Labi et al, 2019). They influence the income diversification process by facilitating non-farm employments opportunities for rural inhabitants (Abur et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…This is actualized in terms of an increase in the number of school-going children due to reduced travel time to reach the facility (Khandker et al, 2009). The same holds in the case of access to a health facility; individuals can access to health due to good road connectivity (Porter, 2012;Tunde & Adeniyi, 2012;Kanuganti et al, 2017;Wagale & Singh, 2019). It has been found that rural roads have contributed significantly to the upliftment of rural life.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Adverse Impacts of Rural Roads Using a Fuzzy Multicriteria Approach

Tirth

Wagale

Singh

et al. 2021

Journal of Civil Engineering and Management

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Rural roads contribute significantly to the living conditions of rural populations. However, they also lead to detrimental impacts on physical and social environments. In this context, the present study proposes a novel fuzzy multicriteria approach that amalgamates fuzzy TOPSIS and an improved fuzzy weighted average method to assess the negative impacts on physical and social environments, due to rural road construction. The approach offers a structured comprehension and incorporates detailed criteria that reflect the adverse effects. The attributes identified and assessed in this study are air quality, vegetation cover status, noise pollution, transmissible disease, habits/behaviour, safety and security, and road accidents. The approach includes both qualitative and quantitative data from focus group discussions. The results presented here are essential to identify corrective actions, promote effective distribution of funds, and facilitate effective decisionmaking for sustainable rural development.

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Development of a Need-Based Approach for Rural Road Network Planning

Cited by 8 publications

References 3 publications

An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria

An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria

Socio-economic impacts of low-volume roads using a mixed-method approach of PCA and Fuzzy-TOPSIS

Investigating the Adverse Impacts of Rural Roads Using a Fuzzy Multicriteria Approach

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