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

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@article{IJASEIT12820,
   author = {W Herijanto and I B Mochtar and A Wicaksono},
   title = {Improvement of Trip Attraction Model in Surabaya by Considering Geographical Weighting of City Centre Activity Function},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {4},
   year = {2020},
   pages = {1591--1596},
   keywords = {transportation; trip attraction; Surabaya; concentric; sector; multiple-nuclei.},
   abstract = {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.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12820},
   doi = {10.18517/ijaseit.10.4.12820}
}

EndNote

%A Herijanto, W
%A Mochtar, I B
%A Wicaksono, A
%D 2020
%T Improvement of Trip Attraction Model in Surabaya by Considering Geographical Weighting of City Centre Activity Function
%B 2020
%9 transportation; trip attraction; Surabaya; concentric; sector; multiple-nuclei.
%! Improvement of Trip Attraction Model in Surabaya by Considering Geographical Weighting of City Centre Activity Function
%K transportation; trip attraction; Surabaya; concentric; sector; multiple-nuclei.
%X 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.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12820
%R doi:10.18517/ijaseit.10.4.12820
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 4
%@ 2088-5334

IEEE

W Herijanto,I B Mochtar and A Wicaksono,"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, pp. 1591-1596, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.4.12820.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Herijanto, W
AU  - Mochtar, I B
AU  - Wicaksono, A
PY  - 2020
TI  - Improvement of Trip Attraction Model in Surabaya by Considering Geographical Weighting of City Centre Activity Function
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 4
Y2  - 2020
SP  - 1591
EP  - 1596
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - transportation; trip attraction; Surabaya; concentric; sector; multiple-nuclei.
N2  - 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.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12820
DO  - 10.18517/ijaseit.10.4.12820

RefWorks

RT Journal Article
ID 12820
A1 Herijanto, W
A1 Mochtar, I B
A1 Wicaksono, A
T1 Improvement of Trip Attraction Model in Surabaya by Considering Geographical Weighting of City Centre Activity Function
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 4
YR 2020
SP 1591
OP 1596
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 transportation; trip attraction; Surabaya; concentric; sector; multiple-nuclei.
AB 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.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12820
DO  - 10.18517/ijaseit.10.4.12820