APPLICATION OF LAND USE TRANSPORT MODEL FOR MEDIUM SIZED CITY-ALLAHABAD

Abstract

Urbanisation is inevitable and India is no exception. The large concentration of population in big cities have their probelms as known to all. The recent trend of fast growth in medium size cities makes planners to think seriously about these second order cities. These cities, which have popultin in the range of 0.3 to 1_0 million, have been neglected so far in planning. In most cities of this category, unplanned growth and their implications in transport demand has become a serious concern. Transport needs are function of land use, and with least planning iImput in terms of planning a balanced growth, chaotic situations are created which are likely to be more acute in future. Land use transport models are the best tools to derive relationships for better understanding of transport consequences. In this study the city of Allahabad has been taken as the exapmle of medium size city. The master plan developed by Town and Country Planning Department provided the proposed land use developments. The present land use description for the year 1987 was obtained from the Town & County Planning Department and a study done by Consulting Engineering Services,New Delhi. All travel related iii information was also avaialble for the present scenerio. were used. Entire modelling was developed as an interactive Package with extensive graphic displays. Thus, both input and model outputs can .be presented in terminal o() through Plotters for easy comprehension, for planners and policy makers. The package has great flexibility in terms of data input and choices of operation. The user friendly package does not demand full understanding of the modelling process for its operation. The beauty of the package is in its capability of testing large number of alternative land use plans for their transport consequences in no time and the %;.41' ti presentation of results digramitically . This would remove , ) all inhibition of planners and policy makers regarding planning of medium size cities.