Abstract

Infrastructure and transportation are important sector in the realization of Sustainable Development Goals in rural area. The understanding of strategic variables of infrastructure and transportation is very crucial. Therefore, this paper aim to present how we used structural analysis method to identify the sustainability variables of infrastructure and transportation in rural area. Kendayakan village in Serang Regency, a rural area, is studied due to its location as a hinterland to the coastal area of Banten province. The methodology of study is using the Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) software for analysing the strategic variables. The three pillars of Sustainable Development Goals (SDGs) elements of environmental, economic and social, represented by environmental quality index, income per capita and population density variables, respectively, were included in the analysis. Variables of infrastructure/transportation sustainability analysed were as follows: roads, bridges, water supply, water conservation, drainage and sanitation system, flood management, and housing/building/public facilities. The result shows that bridge infrastructure is classified as key factor which has the highest influence and independent. However, further research should be performed with more variables within the SDGs dimensions of economic, social and environmental.

Highlights

  • Infrastructure and transportation are very important for economic development

  • The methodology of study is using the Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) software for analysing the strategic variables

  • This study objectives are: 1. to describe how we used the structural analysis method for building a first causal-loop diagram; 2. to understand key variables that affected the sustainability of infrastructure and transportation in rural and coastal area

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Summary

Introduction

Infrastructure and transportation are very important for economic development. They are ranging from transport system to housing/public facilities and water and sanitation/drainage system that enable economies to thrive. To understand key variables that affected the sustainability of infrastructure and transportation in rural and coastal area. Structural analysis is perform by mapping into a matrix (see Table 1), the relationship of the driver (influence variables) and dependence variables, among the elements or components of a system [24]. This matrix called Direct Influences or MDI. Each of the variables has direct influence and dependence classification It established through the paths and loops. 3. Result and Discussion There are 10 variables which distributed among sustainability dimension of infrastructure/transportation, economy, environment and social aspects (Table 2)

10. Population Density popdens
Conclusions
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