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The Modelling of Volume and Percent Duration of Vehicle Parking for Shopping Stores in Surabaya, Indonesia

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@article{IJASEIT12823,
   author = {Anak Agung Gde Kartika and Indrasurya B Mochtar and Hera Widyastuti},
   title = {The Modelling of Volume and Percent Duration of Vehicle Parking for Shopping Stores in Surabaya, Indonesia},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {5},
   year = {2020},
   pages = {2057--2067},
   keywords = {off-street parking; principal component regression; shopping stores; Surabaya.},
   abstract = {

Both parking revenue and parking tax are the potential income for most local authorities in Indonesia since they are considered as part of their revenue. However, currently, many local authorities in Indonesia, including Surabaya, have a problem determining the target of annual parking revenue.  Meanwhile, there are growing public and private facilities in many capital cities in which many parking spaces will be provided to support their activities later. Therefore, the providing of new parking spaces will potentially contribute to the local authorities’ revenue as the consequences. The main variable to contribute to the parking revenue is the number of parked vehicles and the parking duration (progressive tariff is applied). This paper discusses parking modeling of shopping stores in Surabaya. The parking volume model is based on the following variables; accumulation, turnover, dynamic capacity, parking index, and average duration, while the model of duration is based on these following variables; accumulation, turnover, dynamic capacity, parking index, and parking volume. Since all variables has a multicollinearity problem, the model principal component regression is then used. This paper proposes the model of volume as well as percent duration of parking facility for shopping stores based on data in Surabaya.

},    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=12823},    doi = {10.18517/ijaseit.10.5.12823} }

EndNote

%A Gde Kartika, Anak Agung
%A Mochtar, Indrasurya B
%A Widyastuti, Hera
%D 2020
%T The Modelling of Volume and Percent Duration of Vehicle Parking for Shopping Stores in Surabaya, Indonesia
%B 2020
%9 off-street parking; principal component regression; shopping stores; Surabaya.
%! The Modelling of Volume and Percent Duration of Vehicle Parking for Shopping Stores in Surabaya, Indonesia
%K off-street parking; principal component regression; shopping stores; Surabaya.
%X 

Both parking revenue and parking tax are the potential income for most local authorities in Indonesia since they are considered as part of their revenue. However, currently, many local authorities in Indonesia, including Surabaya, have a problem determining the target of annual parking revenue.  Meanwhile, there are growing public and private facilities in many capital cities in which many parking spaces will be provided to support their activities later. Therefore, the providing of new parking spaces will potentially contribute to the local authorities’ revenue as the consequences. The main variable to contribute to the parking revenue is the number of parked vehicles and the parking duration (progressive tariff is applied). This paper discusses parking modeling of shopping stores in Surabaya. The parking volume model is based on the following variables; accumulation, turnover, dynamic capacity, parking index, and average duration, while the model of duration is based on these following variables; accumulation, turnover, dynamic capacity, parking index, and parking volume. Since all variables has a multicollinearity problem, the model principal component regression is then used. This paper proposes the model of volume as well as percent duration of parking facility for shopping stores based on data in Surabaya.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12823 %R doi:10.18517/ijaseit.10.5.12823 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 5 %@ 2088-5334

IEEE

Anak Agung Gde Kartika,Indrasurya B Mochtar and Hera Widyastuti,"The Modelling of Volume and Percent Duration of Vehicle Parking for Shopping Stores in Surabaya, Indonesia," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, pp. 2057-2067, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.5.12823.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Gde Kartika, Anak Agung
AU  - Mochtar, Indrasurya B
AU  - Widyastuti, Hera
PY  - 2020
TI  - The Modelling of Volume and Percent Duration of Vehicle Parking for Shopping Stores in Surabaya, Indonesia
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 5
Y2  - 2020
SP  - 2057
EP  - 2067
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - off-street parking; principal component regression; shopping stores; Surabaya.
N2  - 

Both parking revenue and parking tax are the potential income for most local authorities in Indonesia since they are considered as part of their revenue. However, currently, many local authorities in Indonesia, including Surabaya, have a problem determining the target of annual parking revenue.  Meanwhile, there are growing public and private facilities in many capital cities in which many parking spaces will be provided to support their activities later. Therefore, the providing of new parking spaces will potentially contribute to the local authorities’ revenue as the consequences. The main variable to contribute to the parking revenue is the number of parked vehicles and the parking duration (progressive tariff is applied). This paper discusses parking modeling of shopping stores in Surabaya. The parking volume model is based on the following variables; accumulation, turnover, dynamic capacity, parking index, and average duration, while the model of duration is based on these following variables; accumulation, turnover, dynamic capacity, parking index, and parking volume. Since all variables has a multicollinearity problem, the model principal component regression is then used. This paper proposes the model of volume as well as percent duration of parking facility for shopping stores based on data in Surabaya.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12823 DO - 10.18517/ijaseit.10.5.12823

RefWorks

RT Journal Article
ID 12823
A1 Gde Kartika, Anak Agung
A1 Mochtar, Indrasurya B
A1 Widyastuti, Hera
T1 The Modelling of Volume and Percent Duration of Vehicle Parking for Shopping Stores in Surabaya, Indonesia
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 5
YR 2020
SP 2057
OP 2067
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 off-street parking; principal component regression; shopping stores; Surabaya.
AB 

Both parking revenue and parking tax are the potential income for most local authorities in Indonesia since they are considered as part of their revenue. However, currently, many local authorities in Indonesia, including Surabaya, have a problem determining the target of annual parking revenue.  Meanwhile, there are growing public and private facilities in many capital cities in which many parking spaces will be provided to support their activities later. Therefore, the providing of new parking spaces will potentially contribute to the local authorities’ revenue as the consequences. The main variable to contribute to the parking revenue is the number of parked vehicles and the parking duration (progressive tariff is applied). This paper discusses parking modeling of shopping stores in Surabaya. The parking volume model is based on the following variables; accumulation, turnover, dynamic capacity, parking index, and average duration, while the model of duration is based on these following variables; accumulation, turnover, dynamic capacity, parking index, and parking volume. Since all variables has a multicollinearity problem, the model principal component regression is then used. This paper proposes the model of volume as well as percent duration of parking facility for shopping stores based on data in Surabaya.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12823 DO - 10.18517/ijaseit.10.5.12823