The rural transport infrastructure sector is a critical force for sustainable development that is interwoven with many other sectors. Rural transportation is an underlying driver of many of the Sustainable Development Goals (SDGs) and a crucial contributor to many socioeconomic benefits for rural people around the world. This review paper expands upon, enhances, and cross-references the perspectives outlined in previous rural infrastructure-focused review papers. Firstly, this work gives a thorough look into the progress of the rural transportation sector in recent years by focusing on the thematic relationships between infrastructure and other components of sustainable development, namely, economics and agriculture, policy and governance, health, gender, education, and climate change and the environment. Secondly, several strategies, approaches, and tools employed by governments and practitioners within the rural transport sector are analyzed and discussed for their contributions to the wellbeing of rural dwellers in low- and middle-income countries (LMICs). These include rural roads, bridges, maintenance, and non-infrastructural approaches that include concepts such as advanced technological innovations, intermediate modes of transport (IMTs), and transport services. This paper concludes that enhancement, improvement, and extension of rural transportation infrastructure brings significant benefits to rural dwellers. However, this paper also calls for additional integration of the sector and increased usage of systems approaches that view rural transport as an active part of many other sectors and a key leverage point within rural development as a whole. Further, this paper notes areas for future research and investigation, including increased investigation of the relationship between rural transportation infrastructure and education, improved data collection and management in support of improved policymaking, improved prioritization of interventions and institutionalization of maintenance, and expansion of pro-poor transportation strategies and interventions.

In an effort to reduce the disease burden in rural Rwanda, decrease poverty associated with expenditures for fuel, and minimize the environmental impact on forests and greenhouse gases from inefficient combustion of biomass, the Rwanda Ministry of Health (MOH) partnered with DelAgua Health (DelAgua), a private social enterprise, to distribute and promote the use of improved cookstoves and advanced water filters to the poorest quarter of households (Ubudehe 1 and 2) nationally, beginning in Western Province under a program branded Tubeho Neza (“Live Well”). The project is privately financed and earns revenue from carbon credits under the United Nations Clean Development Mechanism. During a 3-month period in late 2014, over 470,000 people living in over 101,000 households were provided free water filters and cookstoves. Following the distribution, community health workers visited nearly 98 % of households to perform household level education and training activities. Over 87 % of households were visited again within 6 months with a basic survey conducted. Detailed adoption surveys were conducted among a sample of households, 1000 in the first round, 187 in the second. Approximately a year after distribution, reported water filter use was above 90 % (+/−4 % CI) and water present in filter was observed in over 76 % (+/−6 % CI) of households, while the reported primary stove was nearly 90 % (+/−4.4 % CI) and of households cooking at the time of the visit, over 83 % (+/−5.3 % CI) were on the improved stove. There was no observed association between household size and stove stacking behavior. This program suggests that free distribution is not a determinant of low adoption. It is plausible that continued engagement in households, enabled by Ministry of Health support and carbon financed revenue, contributed to high adoption rates. Overall, the program was able to demonstrate a privately financed, public health intervention can achieve high levels of initial adoption and usage of household level water filtration and improved cookstoves at a large scale.

Many global development agencies self-report their project outcomes, often relying on subjective data that is collected sporadically and communicated months later. These reports often highlight successes and downplay challenges. Instrumented monitoring via distributed data collection platforms may provide crucial evidence to help inform the sector and public on the effectiveness of aid, and the on-going challenges. This paper presents the process of designing and validating an integrated sensor platform with cellular-to-internet reporting purposely targeted at global development programs. The integrated hardware platform has been applied to water, sanitation, energy and infrastructure interventions and validated through laboratory calibration and field observations. Presented here are two examples: a water pump and a household water filter, wherein field observations agreed with the data algorithm with a linear fit slope of between 0.91 and 1, and an r-squared of between 0.36 and 0.39, indicating a wide confidence interval but with low overall error (i.e., less than 0.5% in the case of structured field observations of water volume added to a household water filter) and few false negatives or false positives.

Progress toward safe water for all is predominantly tracked using directly observable, resource-based indicators, including primary water source and water collection travel time. There is growing interest in complementing these indicators with experiential data about water access, use, and reliability, but there is limited evidence about their value for evaluating water service interventions. We therefore compared findings from observable and experiential water measures that were used to evaluate the impact of two multilevel interventions among households in Nepal (n = 83) and Sierra Leone (n = 981). We used t-tests, chi-square tests, and multivariable models to determine whether drinking water services (classified using the Joint Monitoring Programme’s drinking water service ladder) and water insecurity experiences (measured using the Household Water Insecurity Experiences Scale) changed following intervention. Additionally, we assessed for potential differential impacts on water insecurity by sociodemographic characteristics to understand if any groups were being left behind. In both settings, access to at-least-basic drinking water services among sampled households increased, from 60.8% to 100% in Nepal and from 33.0% to 48.2% in Sierra Leone. The percentage of households experiencing moderate-to-high water insecurity declined from 18.3% to 1.4% in Nepal and from 66.3% to 24.8% in Sierra Leone. Affirmation and reported frequency of being unable to wash clothes due to water problems, worrying about water insufficiency, and feeling angry about one’s water situation decreased but remained salient issues in both sites. There were no observed differences in project impact on water insecurity by respondent gender or age. In Nepal, project impact varied by districts, suggesting opportunities to better tailor interventions to local needs. These findings provide empirical evidence that experiential data complement traditional resource-based indicators and offer actionable information to address water insecurity.

Safe and consistent access to essential services is critical for poverty alleviation in rural communities, but even significant physical transportation barriers, such as pedestrian water crossings, are poorly mapped, leaving the scope of need for rural trailbridges largely unknown. Field-based efforts to catalogue those barriers can be effective but are costly and time-consuming. The study described here details field-based methods for identifying pedestrian water crossings in rural Liberia and Rwanda, as well as remote methods, to evaluate their effectiveness and potential application for assessing future rural infrastructure networks. The work highlights challenges, addresses components of the field-based method that limit scalability on a global level, and outlines a way forward for future endeavors to identify pedestrian water crossings. Overall, the most effective remote method applied in this study identified 16 percent of the crossings identified using field-based methods in the same area of interest in Liberia, and 72 percent of the crossings identified using field-based methods in the same area of interest in Rwanda. The field-based method remains the most effective method for bridge site identification, though the significant resources required for an effective field study underscore the need for greater investment in remote methods. Additionally, as neither method alone yields results that fully encapsulate bridge need, the authors recommend a blended approach that incorporates a more sophisticated remote method with streamlined field-based methods that leverage existing local knowledge and expertise.