Use of GIS to Investigating Public Transport Provision in Ahmedabad City, India

Use of GIS to Investigating Public Transport Provision in Ahmedabad City, India

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Abstract
Talat Munshi
Lecturer, School of Planning,
Centre for Environmental Planning and Technology, India
Navrangpura, Ahmedabad – 380009, Gujarat (India)
Phone: +91-79-6302452, Fax: +91-79-6302075
Email: [email protected], mailto:[email protected],%[email protected]

Walid Belal
Lecturer,
Department of Urban and Regional Planning and
Geo-Information Management,
ITC, Netherlands

Martin Dijst
Faculty of Geographical Sciences,
Universiteit Utrecht, Netherlands

Abstract
Geographic Information System (GIS) is well recognised as a tool for analysing transport related problems. This study describes the use of GIS to investigate the provision of public transport in Ahmedabad City, India by Ahmedabad Municipal Transport Service (AMTS). Data on Individual characteristics (derived from a primary survey done in September, 02), temporal characteristics of AMTS buses and activity locations were entered to a GIS based time space activity model to find the total feasible activity locations that can be accessed by the service from different residential areas. The model was build using Avenue scripts in Arc View and it considers four checks to determine the feasible activity locations. At first, the model checks whether the sum of total time spent at activities, travel and at home is less than 24 hours. The second check is made to check if activity reach time is earlier than its start time. The third step the model checks whether in-vehicle time is greater than out-vehicle time for AMTS use, and the last check is related to travel time ratio for travel from home to work activities. To establish the travel time the travel was divided into three components origin to stop (access), stop-stop (main haul) and stop-destination (egress). A script was written in Avenue program, was used to generate Euclidian distance from origin to stop and stop to destination. This was then multiplied by a curve factor of 1.4. The travel time from stop to stop was calculated using PTDMC model, which models public transport network by creating links between stops and connecting these links to build the network. Attributes of speed, stop-type and stop-time are attached to the links between stops; waiting time for each route is attached to the route attributes. The model uses the least-cost algorithm to generate path between a set of origin and destination points. The model can incorporate tariff structure based on distance. The model could be used successfully to determine the accessibility of level for different residential areas. It was found that the activity participation and travel characteristics varied spatially depending upon the participating income group. With AMTS as a mode of travel, very few residential areas had proper access to activity locations. The reason for this was found to be high access, egress and waiting time required while using AMTS buses.