A parking study is carried out in the NCT of Delhi to measure the parking system performance for different land-uses. Various parking statistics such as parking demand, demand-capacity (D/C) ratio, parking load, parking efficiency, and utilization are considered to demonstrate the parking conditions and problems at the selected parking locations. Further, four key-indicators viz., D/C ratio, search + park time, walk time and parking fees are chosen to develop parking performance index (PPI) which evaluate the parking facility from users’ perspective. PPI is a single value index, which is estimated by combining the evaluation criteria of the four indicators using a radial coordinate system. PPI is classified into four categories: Excellent, Good, Fair and Poor using clustering analysis in order to define the thresholds for each category. The paper demonstrates the case study application, which describes the applicability of the developed PPI at three locations in Delhi. Lastly, a few parking strategies and guidelines are discussed based on the analysis, on-field survey observations, and past literature. The proposed method can be adopted globally with the required modifications. The study is helpful for the transport planners and policy-makers to quantify the quality of the existing parking system, and the improvement plans can be made accordingly.
A Routing Algorithm Based on Zigbee Technology
