How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
This research is an investigative study pertaining on how the North-South Expressway (NSE) traffic volume patterns were influence by sosio-economics factors/attributes/parameters/income. It also addresses current problems and issues associated with the expressway based on its population and developm...
Saved in:
Main Author: | |
---|---|
Format: | text::Thesis |
Language: | English |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-21022 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-210222023-05-04T14:45:24Z How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income Izzati Akhtar Binti Hasan Traffic surveys_Malaysia Road_surveying_Malaysia Traffic flow_Malaysia This research is an investigative study pertaining on how the North-South Expressway (NSE) traffic volume patterns were influence by sosio-economics factors/attributes/parameters/income. It also addresses current problems and issues associated with the expressway based on its population and development aspects. 2023-05-03T15:47:03Z 2023-05-03T15:47:03Z 2005 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/21022 en application/pdf |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
language |
English |
topic |
Traffic surveys_Malaysia Road_surveying_Malaysia Traffic flow_Malaysia |
spellingShingle |
Traffic surveys_Malaysia Road_surveying_Malaysia Traffic flow_Malaysia Izzati Akhtar Binti Hasan How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income |
description |
This research is an investigative study pertaining on how the North-South Expressway (NSE) traffic volume patterns were influence by sosio-economics factors/attributes/parameters/income. It also addresses current problems and issues associated with the expressway based on its population and development aspects. |
format |
Resource Types::text::Thesis |
author |
Izzati Akhtar Binti Hasan |
author_facet |
Izzati Akhtar Binti Hasan |
author_sort |
Izzati Akhtar Binti Hasan |
title |
How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income |
title_short |
How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income |
title_full |
How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income |
title_fullStr |
How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income |
title_full_unstemmed |
How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income |
title_sort |
how the north-south expressway traffic volume pattern (population, employment, growth domestic product (gdp) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income |
publishDate |
2023 |
_version_ |
1806424301782433792 |
score |
13.222552 |