Abstract
Parking shortages are a regular occurrence in the urban Central Business District (CBD). In most Indian cities, the demand for parking outnumbers the supply. Managing parking demand is a critical aspect of transportation planning, particularly in metropolitan areas. Due to a shortage of off-street parking options in the CBD, tourists are compelled to park on the street, causing unnecessary congestion. The goals of this paper are to review existing research, identify key parameters, and provide models for forecasting on-street parking demand. To predict on-street parking demand in metropolitan CBDs with public transit (PT) service, a cost parameter (CF) model is developed. Some surveys, such as in-out surveys, license plate surveys, questionnaire surveys, video graphic survey methods, and so on, are likely to be utilized to collect data for the suggested model.
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