MODEL ESTIMASI BANGKITAN PERJALANAN DARI KAWASAN PERUMAHAN PANDAU PERMAI PEKANBARU DENGAN VARIABEL JUMLAH ANGGOTA KELUARGA DAN PENDAPATAN KELUARGA
Main Authors: | -, Winayati; Jurusan Teknik Sipil Fakultas Teknik Universitas Pasir Pengaraian, Lubis, Fadrizal; Jurusan Teknik Sipil Fakultas Teknik Universitas Pasir Pengaraian |
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Format: | Article info application/x-download eJournal |
Bahasa: | eng |
Terbitan: |
Universitas Pasir Pengaraian
, 2015
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Subjects: | |
Online Access: |
http://e-journal.upp.ac.id/index.php/aptk/article/view/239 http://e-journal.upp.ac.id/index.php/aptk/article/view/239/_110 |
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article-239 |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">MODEL ESTIMASI BANGKITAN PERJALANAN DARI KAWASAN PERUMAHAN PANDAU PERMAI PEKANBARU DENGAN VARIABEL JUMLAH ANGGOTA KELUARGA DAN PENDAPATAN KELUARGA</title><creator>-, Winayati; Jurusan Teknik Sipil Fakultas Teknik Universitas Pasir Pengaraian</creator><creator>Lubis, Fadrizal; Jurusan Teknik Sipil Fakultas Teknik Universitas Pasir Pengaraian</creator><subject lang="en-US">generation, model.</subject><description lang="en-US">Basically transport planning aims to estimate the number and location of transportation needs (for public transport and private vehicles) , both for the present and for the predictions in the future. In urban areas it can be seen that most of the trips that occur are home -based (home base trip), by modeling trip generation from the residential area will be able to know the approximate number of families generated movements per day from a residential zone. Family trip generation models created using linear regression analysis with multiple variables. In a linear regression with multiple variables, dependent variable is the number of movements performed in 1 day (y) will be</description><publisher lang="en-US">Universitas Pasir Pengaraian</publisher><contributor lang="en-US"/><date>2015-01-28</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/x-download</type><identifier>http://e-journal.upp.ac.id/index.php/aptk/article/view/239</identifier><source lang="en-US">Jurnal APTEK; Vol 7, No 1 (2015): APLIKASI TEKNOLOGI; 73-74</source><source>2535-6269</source><source>2085-2630</source><language>eng</language><relation>http://e-journal.upp.ac.id/index.php/aptk/article/view/239/_110</relation><recordID>article-239</recordID></dc>
|
language |
eng |
format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: File:application/x-download File Journal:eJournal |
author |
-, Winayati; Jurusan Teknik Sipil Fakultas Teknik Universitas Pasir Pengaraian Lubis, Fadrizal; Jurusan Teknik Sipil Fakultas Teknik Universitas Pasir Pengaraian |
title |
MODEL ESTIMASI BANGKITAN PERJALANAN DARI KAWASAN PERUMAHAN PANDAU PERMAI PEKANBARU DENGAN VARIABEL JUMLAH ANGGOTA KELUARGA DAN PENDAPATAN KELUARGA |
publisher |
Universitas Pasir Pengaraian |
publishDate |
2015 |
topic |
generation model |
url |
http://e-journal.upp.ac.id/index.php/aptk/article/view/239 http://e-journal.upp.ac.id/index.php/aptk/article/view/239/_110 |
contents |
Basically transport planning aims to estimate the number and location of transportation needs (for public transport and private vehicles) , both for the present and for the predictions in the future. In urban areas it can be seen that most of the trips that occur are home -based (home base trip), by modeling trip generation from the residential area will be able to know the approximate number of families generated movements per day from a residential zone. Family trip generation models created using linear regression analysis with multiple variables. In a linear regression with multiple variables, dependent variable is the number of movements performed in 1 day (y) will be |
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Universitas Pasir Pengaraian |
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Perpustakaan Universitas Pasir Pengaraian |
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Jurnal Mahasiswa Teknik Sipil UPP |
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1701 |
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Arsitektur |
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ROKAN HULU |
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2017-02-25T13:00:42Z |
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2017-02-25T13:00:42Z |
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17.610363 |