The relationship between street pattern and neighbourhood travel characteristics
Recently, the dependency on private vehicles rising rapidly almost around the world. This issue arising from the rapid growth of development as well as population. The possession of a driving license easily also contributes to the increase in vehicle ownership, thus, increasing reliance on private v...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/78931/1/NurAsmidaMazlanMFAB2017.pdf http://eprints.utm.my/id/eprint/78931/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110246 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.78931 |
---|---|
record_format |
eprints |
spelling |
my.utm.789312018-09-17T07:23:20Z http://eprints.utm.my/id/eprint/78931/ The relationship between street pattern and neighbourhood travel characteristics Mazlan, Nur Asmida HT101-395 Sociology, Urban Recently, the dependency on private vehicles rising rapidly almost around the world. This issue arising from the rapid growth of development as well as population. The possession of a driving license easily also contributes to the increase in vehicle ownership, thus, increasing reliance on private vehicles. At the same time, the highest frequency in auto mobility related to travel demands and existing street pattern. In response to enhance sustainable mobility and active lifestyle, this research is conducted to analyse the relationship between street pattern and neighbourhood travel characteristics. This research is carried out in 13 large residential areas in Johor Bahru that have total size more than 1000 acres which are categorised by the year built of neighbourhoods. This study used Descriptive Statistics and Independent Sample T-Test in analysing the street pattern and travel characteristics. The type of street pattern, land use, street pattern measures and street network density of each neighbourhoods are identified using ArcGIS 10.2 while observation surveys are conducted to collect travel characteristics data within the study area. The results indicate that old neighbourhoods are better in street connectivity and accessibility compared to new neighbourhoods. This research also indicates that new neighbourhoods have a higher dependency on automobile trips due to highest travel time and travel expenses. There are several suggestions that can be implemented in addressing the issues includes encourage mixed-use development, enforcement of planning codes, establishing policies on private vehicle ownership and improve the existing alternative travel facilities. 2017-03 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/78931/1/NurAsmidaMazlanMFAB2017.pdf Mazlan, Nur Asmida (2017) The relationship between street pattern and neighbourhood travel characteristics. PhD thesis, Universiti Teknologi Malaysia, Faculty of Built Environment. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110246 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
HT101-395 Sociology, Urban |
spellingShingle |
HT101-395 Sociology, Urban Mazlan, Nur Asmida The relationship between street pattern and neighbourhood travel characteristics |
description |
Recently, the dependency on private vehicles rising rapidly almost around the world. This issue arising from the rapid growth of development as well as population. The possession of a driving license easily also contributes to the increase in vehicle ownership, thus, increasing reliance on private vehicles. At the same time, the highest frequency in auto mobility related to travel demands and existing street pattern. In response to enhance sustainable mobility and active lifestyle, this research is conducted to analyse the relationship between street pattern and neighbourhood travel characteristics. This research is carried out in 13 large residential areas in Johor Bahru that have total size more than 1000 acres which are categorised by the year built of neighbourhoods. This study used Descriptive Statistics and Independent Sample T-Test in analysing the street pattern and travel characteristics. The type of street pattern, land use, street pattern measures and street network density of each neighbourhoods are identified using ArcGIS 10.2 while observation surveys are conducted to collect travel characteristics data within the study area. The results indicate that old neighbourhoods are better in street connectivity and accessibility compared to new neighbourhoods. This research also indicates that new neighbourhoods have a higher dependency on automobile trips due to highest travel time and travel expenses. There are several suggestions that can be implemented in addressing the issues includes encourage mixed-use development, enforcement of planning codes, establishing policies on private vehicle ownership and improve the existing alternative travel facilities. |
format |
Thesis |
author |
Mazlan, Nur Asmida |
author_facet |
Mazlan, Nur Asmida |
author_sort |
Mazlan, Nur Asmida |
title |
The relationship between street pattern and neighbourhood travel characteristics |
title_short |
The relationship between street pattern and neighbourhood travel characteristics |
title_full |
The relationship between street pattern and neighbourhood travel characteristics |
title_fullStr |
The relationship between street pattern and neighbourhood travel characteristics |
title_full_unstemmed |
The relationship between street pattern and neighbourhood travel characteristics |
title_sort |
relationship between street pattern and neighbourhood travel characteristics |
publishDate |
2017 |
url |
http://eprints.utm.my/id/eprint/78931/1/NurAsmidaMazlanMFAB2017.pdf http://eprints.utm.my/id/eprint/78931/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110246 |
_version_ |
1643658048798982144 |
score |
13.211869 |