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Factors that effect to land use change in Pandaan District

Research output: Contribution to journalConference articlepeer-review

Abstract

Land-use change is the process of changing the usage of land from its original function into other functions, either permanently or temporarily. This research is done the Pandaan Sub-District (an urban fringe area) of Pasuruan District. This location is a strategic location with the main arterial road part of the National Road. For the last decade, land-use change in Pandaan have been significant impact. The outside investors, in particular, are attracted since the operationalization of the Gempol-Pandaan Highway in 2014 that connecting the city of Malang and Surabaya, causing several areas in the sub-district to develop rapidly. We use the quantitative with Multiple Linear Regression methods, with 203 respondents as the the sample of this research. The dependent variable is the percentage of the change in land-use, while the independent variables are the system activity (X1), accessibility (X2), infrastructure policy (X3), supporting facility (X4), change in attitude (X5), the ties the land owners have to their land (X6), land reform or land distribution (X7), and population growth (X8). The result of analysis shown that independent variables explain 80% of the model. The most prominent factor which affects change in land-use is accesibility; and land reform/land distribution as the factor with the least effect.

Original languageEnglish
Article number012006
JournalIOP Conference Series: Earth and Environmental Science
Volume202
Issue number1
DOIs
Publication statusPublished - 27 Nov 2018
Event2017 CITIES International Conference: Multi Perspectives on Peri-Urban Dynamics Towards Sustainable Development - Surabaya, Indonesia
Duration: 18 Oct 2017 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • accessibility
  • and land distribution
  • land use change
  • multiple linear regression

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