A logical approach for geo-coding and minimizing noise in the spatial data of public bus services in urban areas

E. Hawas, M. B. Khan, N. Basu, K. Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A more efficient public transit system means better accessibility and higher opportunities for better economy. To enhance the operation or to provide a better transit service, it is essential to draw a clear picture of the baseline conditions to identify the pros and cons of the existing service. Developing a quantitative spatial database of the service characteristics is deemed necessary for detailed analyses of existing services. Spatial database may help in understanding the geographical extent of the services and identifying the areas that may need special considerations to enhance the services. In this paper, a logical approach is presented to geo-code the spatial data of the public bus services; namely, the stoppage and routes maps (layers). The used geo-data data to develop the bus stops and routes' layers have significant noises. The adopted methodology to filter such noise in data and to develop the spatial database is presented in details. Analyses and conclusions were presented using the presented GIS spatial data techniques.

Original languageEnglish
Title of host publicationUrban Transport XVII - Urban Transport and the Environment in the 21st Century
Pages263-274
Number of pages12
DOIs
Publication statusPublished - 2011
Event17th International Conference on Urban Transport and the Environment - UT 2011 - Pisa, Italy
Duration: Jun 6 2011Jun 8 2011

Publication series

NameWIT Transactions on the Built Environment
Volume116
ISSN (Print)1743-3509

Other

Other17th International Conference on Urban Transport and the Environment - UT 2011
Country/TerritoryItaly
CityPisa
Period6/6/116/8/11

Keywords

  • Geo-coding
  • Noisy data
  • Public transport

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Arts and Humanities (miscellaneous)
  • Building and Construction
  • Transportation
  • Automotive Engineering
  • Computer Science Applications
  • Safety Research
  • Architecture
  • Civil and Structural Engineering

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