Open AccessAnalysis of Strategic Variables for Sustainable Infrastructure and Transportation in Rural Area of Serang Regency, Banten Province
Author(s) -
Yureana Wijayanti,
M. Anda,
Oki Setyandito,
Made Suangga,
Godeliva Juliastuti
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/794/1/012053
Subject(s) - sanitation , sustainability , business , sustainable development , environmental planning , per capita , population , environmental resource management , environmental economics , geography , environmental engineering , engineering , economics , ecology , demography , sociology , political science , law , biology
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.