Trip Attraction Models, Using Regression Analysis, for Shopping Malls in Lebanon

The rapid increase in the number of shopping malls in Lebanon over the years necessitates proper transportation planning. The main step in the travel request process is the generation of trips. This research aims to provide travel attraction models for shopping malls in order to achieve a travel generation manual for Lebanon in the future. Seven shopping centers located in Beirut were studied, for which the number of vehicles that entered during rush hours on weekends, was gathered. In addition, the physical characteristics of the shopping centers were collected. The travel attraction rates were calculated based on the physical characteristics of the seven shopping centers. Multiple travel attraction models were generated based on the physical characteristics. Three attraction models were selected, which proved to be the most suitable for shopping malls. This study helps traffic engineers and urban planners to anticipate the impact of constructing a new shopping center in Lebanon, taking into account traffic on surrounding roads