Most medium-size and large cities worldwide are suffering from parking congestion. Severe parking problems in congested urban areas have led to the use of nontraditional parking options such as elevated parking in residential buildings in some countries. The residents' choice of apartment is influenced by parking availability. This research was aimed at developing models for predicting the weekday residential building parking demand and identifying the significant influencing factors from the collected data, which included the building age (years), number of floors, number of apartments, gross floor area (square meters), average apartment floor area (square meters), average apartment income, average current apartment price, average apartment car ownership (number of cars owned by the residents of the building/number of apartments in the building), and building location class (suburban, urban non-central business district (CBD), urban inner CBD, and urban outer CBD). In this study, separate models were developed fir different categories of locations for weekday conditions. The building height (number of floors) factor was not significant in this study.
Parking Demand for Residential Apartment Buildings in Jordan
ITE journal ; 86 , 7
2016
Article (Journal)
English
PARKING CONTROL SYSTEM AND METHOD FOR SMALL-SCALE APARTMENT BUILDINGS
European Patent Office | 2020
PARKING CONTROL SYSTEM AND METHOD FOR SMALL-SCALE APARTMENT BUILDINGS
European Patent Office | 2020
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