A Methodological Framework to Estimate GHG from Travel Pattern of Tyne & Wear of Newcastle, UK with Various Policy Options Using Fuzzy Logic Modal Split Model

An attempt has been made to study the existing travel patterns of Newcastle City, UK, with a small data set. This would form a basis of appreciating the travel patterns with respect to the mode of transport used, purpose, cost, frequency and length of travel according to the different categories of socio-economic groups. In this paper, the existing travel patterns by the various socio-economic categories of people were appreciated clearly in quantitative terms with the examination of the various transport related policy and strategy options. This was done in order to ascertain the degree of public transport to be developed for creating a conducive environment of better public transport travel conditions by developing a modal split model using fuzzy logic. The primary aim of the study was to explore ways and means with the help of transport policy options to quantify and reduce the greenhouse gases emitted from the transport sector with the change of modal split in favor of public transport. In order to demonstrate how to estimate the above gases from the travel patterns of Newcastle City, a small sample data of 248 commuters was collected in the year 2005, with mostly traveling by car and public transport using bus and metro. A further attempt has been made to study the travel characteristics for two types of road users traveling by car and public transport. The approach demonstrated here would provide a basis for the estimation of greenhouse gases from the data collected from the transportation study conducted in 2005, 2011 and 2021.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: Proceedings of the 25th World Road Congress - Seoul 2015: Roads and Mobility - Creating New Value from Transport

Subject/Index Terms

Filing Info

  • Accession Number: 01670566
  • Record Type: Publication
  • ISBN: 9782840604235
  • Report/Paper Numbers: 0066
  • Files: TRIS
  • Created Date: May 8 2018 12:19PM