Optimization of settlement land use through carbon footprint approach in the North Balikpapan

A. Ghozali, N. Hasanah, Subchan

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Limited land in the downtown area as well as the increasing amount of new activities centre causes residential development leads to North Balikpapan. This area is an urban fringe with vast protected forests as buffer zone and catchment area for the city and surrounding area. Land conversion in this area will increase hazard risk of inundation, water quality decrease and increased CO2 emissions. Therefore, development should be maintained environmental stability. One of the rights applicated approach is carbon footprint that is capable to measure the balance between production and absorption needs of CO2 emissions. To find the optimal land allocation, we used carbon footprint calculation from the household activities, identify the factors of settlement growth, and use Linear Programming analysis. Analysis' results show that settlement activities in North Balikpapan produce 108.362,4 tCO2/year or equivalent with 618,50 Ha green space. Meanwhile, the development of settlement in North Balikpapan is affected by social demographic, developer initiative, environmental condition, public facilities availability, economical structure, and policy factors. According to those factors, optimal allocation of settlement area in North Balikpapan is only about 4,510.01 Ha. With that condition, it still able to absorb CO2 emissions from inside or outside the area around 2.751 tCO2/year.

Original languageEnglish
Article number012001
JournalIOP Conference Series: Earth and Environmental Science
Volume340
Issue number1
DOIs
Publication statusPublished - 7 Oct 2019
Externally publishedYes
Event2018 CITIES International Conference: Spatial Economic Transport Interaction for Sustainable Development - Surabaya, Indonesia
Duration: 24 Oct 201825 Oct 2018

Keywords

  • CO emissions
  • Carbon Footprint
  • Household
  • Land optimization

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