Road Network Centrality based Model to Simulate Population Distribution.

This paper presents a model to predict population distribution based on road network centrality. The proposed model predicts population distribution based on accessibility. The concept of network centrality is used to measure the accessibility of the location. The cases study was conducted in the Colombo Metropolitan Area, Sri Lanka. The study developed a model to predict population density by utilizing closeness centrality and the residential land use ratio. The case study result recorded an accepted level of predictability and accuracy (R2= 0.870 and MdAPE < 30%). Further, the model maintains a high accuracy with small calibration sample. The methods demonstrated in this research is effective tool for both transport and urban planners to efficient allocation of road infrastructure and urban development investment.

• Record URL:
  https://doi.org/10.11175/easts.13.1194
• Record URL:
  https://www.jstage.jst.go.jp/article/easts/13/0/13_1194/_pdf
• 
• Record URL:
  https://scholar.google.com/scholar_lookup?title=Road%20Network%20Centrality%20based%20Model%20to%20Simulate%20Population%20Distribution.&author=N.%20TENZIN&author=A.%20JAYASINGHE&author=C.%20ABENAYAKE&publication_year=2019
• Authors:
  • TENZIN, Nima
  • Jayasinghe, Amila
  • ABENAYAKE, Chethika
• Publication Date: 2019

Language

• English
• Japanese

Media Info

• Media Type: Web
• Features: Figures; Maps; References; Tables;
• Pagination: pp 1194-1215
• Serial:
  • Journal of the Eastern Asia Society for Transportation Studies
  • Volume: 13
  • Publisher: Eastern Asia Society for Transportation Studies
  • EISSN: 1881-1124
  • Serial URL: https://www.jstage.jst.go.jp/browse/easts/-char/en
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Accessibility; Case studies; City planning; Highway design; Location; Population density
• Geographic Terms: Colombo (Sri Lanka)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01737028
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Apr 22 2020 12:28PM