Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "43996e31-344e-4af4-82ba-ea83fb5e2c0f"}, "_deposit": {"created_by": 183, "id": "7635", "owner": "183", "owners": [183], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7635"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007635", "sets": ["user-mtlu"]}, "communities": ["mtlu"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Geographic Study on Road Transportation Network of Meikitla District", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The development of transportation in a region is closely related to the geographic factors of that region. The study area, Meiktila District has an area of 2,235.246 square miles. The main aim of this paper is to examine the road transportation network of Meiktila District by comparing two periods: 1988 and 2017. In order to analyse the motor road network of study area, four towns (Meiktila, Mahlaing, Wundwin and Thazi) of respective townships and some villages and junction points connecting each others are defined as vertices (nodes). The roads connecting those vertices are edges (links). The planar graph is mainly used to reveal the structural pattern of road network. The topological indices for connectivity are examined with graph theory and, accessibility matrix and density of network are calculated in this research. As a result, Meiktila Township was highest in road density while Wundwin Township was the lowest road density in two periods.  The size, shape, junction point and centrality determine the network density of the study area."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Structural analysis"}, {"interim": "Road Transport Network"}, {"interim": "Meiktila District"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-19"}], "download_preview_message": "", "file_order": 0, "filename": "Wai Wai Lwin.pdf", "filesize": [{"value": "28.7 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 28700000.0, "url": {"url": "https://meral.edu.mm/record/7635/files/Wai Wai Lwin.pdf"}, "version_id": "2a97f417-e5c5-4f83-bc07-11290e12f5fa"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "I", "subitem_journal_title": "Meiktila University Research Journal, 2020,Vol. XI, No.1", "subitem_pages": "88-92", "subitem_volume": "XI"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Wai Wai Lwin"}, {"subitem_authors_fullname": "Tun Aung Kyaw, Dr"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2020-08-31"}, "item_title": "A Geographic Study on Road Transportation Network of Meikitla District", "item_type_id": "21", "owner": "183", "path": ["1608242063591", "1608715360812"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007635", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-19"}, "publish_date": "2021-01-19", "publish_status": "0", "recid": "7635", "relation": {}, "relation_version_is_last": true, "title": ["A Geographic Study on Road Transportation Network of Meikitla District"], "weko_shared_id": -1}
  1. Meiktila University
  1. Meiktila University
  2. Department of Geography

A Geographic Study on Road Transportation Network of Meikitla District

http://hdl.handle.net/20.500.12678/0000007635
http://hdl.handle.net/20.500.12678/0000007635
9a926383-0596-4aee-b87d-3ab7997e2a42
43996e31-344e-4af4-82ba-ea83fb5e2c0f
Name / File License Actions
Wai Wai Wai Lwin.pdf (28.7 MB)
Publication type
Journal article
Upload type
Publication
Title
Title A Geographic Study on Road Transportation Network of Meikitla District
Language en
Publication date 2020-08-31
Authors
Wai Wai Lwin
Tun Aung Kyaw, Dr
Description
The development of transportation in a region is closely related to the geographic factors of that region. The study area, Meiktila District has an area of 2,235.246 square miles. The main aim of this paper is to examine the road transportation network of Meiktila District by comparing two periods: 1988 and 2017. In order to analyse the motor road network of study area, four towns (Meiktila, Mahlaing, Wundwin and Thazi) of respective townships and some villages and junction points connecting each others are defined as vertices (nodes). The roads connecting those vertices are edges (links). The planar graph is mainly used to reveal the structural pattern of road network. The topological indices for connectivity are examined with graph theory and, accessibility matrix and density of network are calculated in this research. As a result, Meiktila Township was highest in road density while Wundwin Township was the lowest road density in two periods. The size, shape, junction point and centrality determine the network density of the study area.
Keywords
Structural analysis, Road Transport Network, Meiktila District
Journal articles
I
Meiktila University Research Journal, 2020,Vol. XI, No.1
88-92
XI
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2021-01-19 09:39:09.049155
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL