Penyusunan Traffic Analysis Zone dengan Metoda Aggregasi Unit Kelurahan Berdasarkan Prinsip Homogenitas Kawasan

Habibi Lubis

Abstract


Pergerakan orang atau barang lazim digambarkan dengan matriks asal-tujuan (MAT).Lokasi asal dan tujuan pergerakan adalah lokasi berbasis zona yang dikenal dengan istilah Traffic Analysis Zone (TAZ). Untuk menghasilkan data MAT yang baik, TAZ yang optimal mutlak diperlukan. Untuk itu, penelitian ini bertujuan untuk menyusun TAZ yang optimal dengan metoda aggregasi unit kelurahan dengan mempertimbangkan aspek homogenitas a-spatial dan spatial telah diusulkan dan dibahas dalam tugas akhir ini untuk wilayah studi Kota Bandung. Kerangka homogenitas a-spatial kawasan yang disusun dalam studi ini membagi unit kelurahan Kota Bandung kedalam empat cluster. Masing-masing cluster diasumsikan sudah memiliki tingkat homogenitas yang tinggi dalam satu cluster dan memiliki tingkat heterogenitas yang tinggi antar cluster. Hal ini telah dibuktikan dengan nilai varian dalam cluster yang rendah dan varian intercluster yang tinggi. Dengan metoda aggregasi spatial dari 139 zona awal diperoleh 40 zona berdasarkan kerangka homogenitas a-spatial yang sudah disusun sebelumya. TAZ yang mencirikan homogenitas di dalamnya (optimal) sudah dihasilkan , sehingga antara satu zona cukup berbeda dengan zona lain di sekitarnya. Ini dibuktikan dengan Moran’s I yang menunjukkan zona yang terbentuk semakin berbeda dengan zona di sekelilingnya (random).

Kata kunci: Traffic Analysis Zone (TAZ), Cluster, Agregasi

 

Movements of people or goods are commonly described by origin-destination matrix (MAT). Location of origin and destination is the location-based movement of the zone known as Traffic Analysis Zone (TAZ). To produce good MAT data, optimal TAZ is absolutely necessary. Therefore, this study aims to develop an optimal TAZ with administrative unit aggregation method by considering aspects of homogeneity of a-spatial and spatial that has been proposed and discussed in this study for study region of city of Bandung. Homogeneity of a-spatial framework area compiled in this study divides the city of Bandung administrative unit into four clusters. Each cluster is assumed to already have a high degree of homogeneity within a cluster and have a high level inter-cluster heterogeneity. It has been proved by the low variance in the cluster and high intercluster variance. With the spatial aggregation method of the 139 starting zone obtained 40 zones based on the homogeneity of a-spatial framework that has been prepared previously. TAZ that characterize the homogeneity in (optimal) is produced, thus quite different from one zone to another zone in the vicinity. This is evidenced by the Moran's I, which shows the different zones formed by the surrounding zone (random).

Keywords: Traffic Analysis Zone (TAZ), Cluster, Aggregation


References


Anselin, Luc, 1997. Introduction to the Special Issue on Spatial Econometrics. International Regional Science Review, Vol. 20, No. 1-2, 1-7 (1997). SAGE Publications.

Anselin, Luc, 2002. Introduction to Spatial Data Analysis. REAL, University of Illinois, Urbana-Champaign.

Anselin, Luc, 2004. Introduction to Spatial Data Analysis. ICPSR-CSISS, University of Illinois, Urbana-Champaign.

Bao, S. 1999. Literature Review of Spatial Statistics and Models. Cina Data Center, Univercity of Michigan.

Biro Pusat Statistik. 2005. Kota Bandung dalam Angka 2005.

Biro Pusat Statistik. 2005. Potensi Desa 2005.

Black, John. 1981. Urban Transport Planning: Theory and Practice. London: Crown Helm.

Dillon, Wiliam R. & Matthew Goldstein.1984.

Multivariative Analysis. JohnWiley & Sons.

Ding, Chengri. 1994. Impact Analysis Of Spatial

Data Aggregation On Transportation

Forecasted Demand: A Gis Approach.

University of Illinois at Urbana-

Champaign.URISA (1994), p362-375.

Ding, Y., and Fotheringham, S. A., 1991, The Integration of Spatial Data Analysis and GIS: The Development of the STATCAS Module for ARC/INFO (Buffalo, NY: National Center for Geographic Information and Analysis).

Edwards, John D. 1992. Transportation Planning

Handbook. New Jersey: Prentice Hall.

Griffith, D. A., 1987. Spatial Autocorrelation: APrimer, State University of New York at Buffalo, ressource Publication in Geography.

Healey, J. (1996). Statistics. A Tool For Social Research. Wadsworth Publishing Company. California.

John, Robert. 1988. Use of Cluster Analysis in Social Service Planning: A Case Study of Laguna Pueblo Elders. Journal of Applied Gerontology 1988; 7; 21, DOI: 10.1177/073346488800700103. SAGE Publications.

Kachigan, Sam Kash.1986. Statistical Analysis. New York: Radius Press.

Meyer and Miller, 2001. Urban Transportation Plannig. Second edition, Mc Graw Hill.

Tamin, Ofyar Z, 2000. Perencanaan dan Permodelan Transportasi. Bandung: Penerbit ITB.

You, Jinsoo, 1996. Iplementation of Integration Land Use and Transportation Model with Geographic Information System, Urbana, Illinois.




© 2020 Institut Teknologi Bandung