Application GIS and Remote Sensing for Urban Growth Impact on Transport System


Remote sensing is a rich source of information for urban change management due to its synoptic and periodic observation capability. Over the years, images of the land use environment including urban change have accumulated, presenting an opportunity to understand change processes that have led to changes recorded by the imagery. Integration of GIS with remote sensing data is advantageous for urban change studies. It provides big scope for modeling urban growth and a platform to integrate models and policy to understand urban growth. Complementary analysis methods need to be explored to extract other information potentially useful for urban growth management.
Rapid urban change and rise in population influence the urban form and design.
Urban form and design affect the access to transit service-
  • such as core city, which usually has a grid street pattern and enhances access to transit service
  • whereas the suburban area, limits access to transit service due to street network and neighborhood design.

There are several factors of urban form that affect the access to transit services.
Factors are below-
  • Urban density
  • Population density
  • Employment density
  • Land use mix
  • Compactness

Urban change pattern can be quantified by using urban form factors like compactness, land use mix and worker density. These factors are very significant for the assessment of public transportation system. But estimation of these factors is difficult when related data not available especially in developing cities. The urban form based indicators can also be used for future scenario of travel demand of public transport system.

Coverage area of public transportation stops is describes that the proximity of demand (population and employment) to stops or stations on the network to a great extent explains its greater or lesser usage by potential users. There are different method for estimation of coverage area such as straight line and road network method.

Most commonly used method in which coverage area use to estimate population covered in that area. These urban form indicators can be created also at coverage level and then impact of these indicators on travel demand in coverage area can be evaluated. This coverage area can also be used to assess the proposed public transportation plan of any city and future scenario of city can also be determined. Urban form indicators and spatial statistical analysis can combined to assess the impact on travel demand of public transport.

Spatial analysis using GIS helps us to capture important facets of the realities of spatial processes based on correlation or non-independence of spatial data and implies a focus on location, area, distances and interaction.  Different scenario can be created based on urban form and coverage area to assess the change in travel demand at different level using GIS based spatial analysis and statistical method for both current and future situations.

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