Open Conference Systems, MISEIC 2020

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An Analisis of Trip Rate Residential Area Using Linear Regression
rofiroh rofiroh rofiroh, Ahmad Sulhany Sulhany

Last modified: 2020-09-21

Abstract


City development is marked by the increase in economic growth and the mobility of people or goods.  It has an impact on land and transportation needs as well.  At present, traffic conditions show an imbalance between demand (traffic generated from the development of business and commercial activity areas) and supply (the availability of road facilities and infrastructure).  This situation results in the need for a traffic impact analysis for each plan in developing an activity center, residential areas and infrastructure that potentially disturbs the security, safety, order and smoothness of transportation and traffic.

 

This research uses the data of the traffic volume of vehicle entry and exit in 2017 obtained from the survey conducted by PT. Citra Wahana Konsultan on residential areas including economical and luxurious housing in Jakarta, Tangerang, Bekasi, Depok, Bandung, Surakarta and Surabaya.  The study analyzed the traffic volume for 14 hours, from 06.00-20.00.  The method used in this research is inferential statistics with linear regression method.  The results indicated that the trip rate of economical housing was higher than that of luxurious housing per hour.

 

The highest vehicle entry-exit trip rate in luxurious housing is 0.34 at 06.00-07.00, while that in economical housing reaches 1.38 at 12.00-13.00.  According to the table above, it can be seen that vehicles entering or exiting hit the peak flow at that particular hour.  On the other hand, the lowest standard trip rate of each housing ​​is 0.03 and 0.67 which occurred at 11.00-12.00 and 13.00-14.00 respectively. These results indicated that the flow of vehicles entry and exit was extremely low at that hour. Figure 1 and 2 portray the standard trip rate of vehicle entry and exit either in economical housing or in luxurious housing.

 


Keywords


Residential Area, Linear Regression, Trip Rate.