Information system plays a vital role in planning and development of rural areas. The inventions in the field of Telecommunication, Remote sensing and computers would lend a valuable support to spatial planning process. The most advanced computer based information technology tool for spatial planning is a Geographic Information System, which would become indispensable in planning and management of database. GIS can be used as an effective tool for road information system which will help the planners and administrators to identify the problems associated with road development activities, location and provision of appropriate facilities, monitoring and maintenance management of the assets created in rural areas. In these cases the information generated as well as the decision taken at the official level will flow faster to the official involved in developmental activities. Therefore, there is an urgent need to develop a simple method for collection and collation of data of roads which will help in planning and provision of various facilities. In order to promote walking and to improve the overall pedestrian environment, Transport Department is following an environmentally friendly approach in managing traffic and transport matters and is committed to putting more emphasis on the interests of pedestrians. Since year 2000, Transport Department has been implementing pedestrian schemes in several areas, including Causeway Bay, Central with the following objectives:
• To improve pedestrian safety and mobility
• To promote walking as a transport mode
• To discourage access for non-essential vehicles
• To reduce air pollution
• To improve overall pedestrian environment
The main objective of this study is to identify the pedestrian vulnerability using QGIS tools. The specific objectives are:
1. To generate a road layer of Chennai region from the Google Earth by digitizing the layer
2. To represent the peak value of pedestrian using the particular road by creating shape files for each data
3. To represent the data collected for pedestrian and traffic volume count and the accident data in the attribute table
The methodology used for the assessment of pedestrian vulnerability is shown in figure 1. The different data which is required to carry out the study is shown below.
1. Pedestrian volume count
2. Traffic volume count
3. Accident data
4. Foot path data
5. Digitized road network of Chennai from Google Earth
The details such as the pedestrian volume count (PVC), traffic volume count (TVC) and accident data for the roads surveyed are specified in Quantum GIS (QGIS) software. The roads are first digitized from the Google earth and the digitized layer is used for providing the above mentioned details in the attribute table of the roads. Roads taken for the analysis are NSC Bose road, Rajaji Salai and Muthuswamy road. The pedestrian, traffic count and the accident data for these roads are already surveyed and the data is specified in the excel sheet. These data are very much useful for representing it in the GIS software.
The foot path details such as the length, width and encroachment for all these roads are also available which was surveyed earlier for the study and is used for the analysis. The width of the road as well as the width of the foot path is also depicted in QGIS software. The other details of foot path such as the PVC and the obstructions on the foot path are also mentioned using QGIS software.
Some area of foot path of NSC Bose Road have been encroached by the people for their usage such as car and two-wheeler parking. Buffering option is used to represent the width of the road and the foot path of the three roads. Some area of foot path has been occupied by obstructions such as parking, encroachment by people, tree, lamp post, EB junction box etc.
In order to find the area of foot path available for the usage of pedestrian have been differentiated from the provided footpath area using the difference option in QGIS software. PVC data is used to identify whether the available foot path satisfies the requirements of pedestrians. The values of peak hour are entered in the attribute table of the respective layer created for each road.
Remote sensing and GIS are very useful for the traffic studies and vulnerability zonation. With the help of zonation maps we identify the vulnerable areas in a region for the pedestrian. This information changes from time to time and can be updated easily.
The road has been digitized using QGIS software as line feature and the details such as PVC, TVC and accident data are given as attributes for the locations along the road where the survey has been conducted.