Improvement of Trip Attraction Model in Surabaya by Considering Geographical Weighting of City Centre Activity Function

W Herijanto (1), I B Mochtar (2), A Wicaksono (3)
(1) Department of Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
(2) Department of Civil Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
(3) Department of Civil Engineering, Brawijaya University, Malang, 65145, Indonesia
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How to cite (IJASEIT) :
Herijanto, W, et al. “Improvement of Trip Attraction Model in Surabaya by Considering Geographical Weighting of City Centre Activity Function”. International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 4, Aug. 2020, pp. 1591-6, doi:10.18517/ijaseit.10.4.12820.
It is challenging to have a trip attraction model that fits Surabaya's surveyed data due to unclear city centre structure. These include the centrum of concentric, corridors of sectoral, or several centres of multiple-nuclei structures. Also, the layout of residential areas has unconventional patterns. This is because the planned housing development area is wrongly inserted on kampong and sometimes lies in city centre. This paper examines the influence of single-centre districts, corridors, or multiple suburb centre structures on trip attraction. The analysis was conducted using origin-destination data from the household interview survey by The Transportation Board of Surabaya and several houses digitized from a relevant year's satellite image. The distance and position information was taken from the Google Earth application. The zonal analysis trip attraction model based on the sub-district zoning system was analysed using fixed trip production data and simulated independent variables. The independent variables included the zonal activity areas such as shops, offices, and industries in sub-district, while the dependent variables consisted of the straight distances from the sub-district to city centres. Several models were tested based on the dependent and independent variables. The results show that the combined zonal activity area and spatial variables have a stronger influence on zonal trip attraction than the conventional model using zonal labor and student variable, mainly based on the urban geographical pattern.

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