Parking Requirement of Institutional Land Use

Parking demand rates are one of the essential keys to urban city planning around the world. Most cities produced the most suitable parking rates, and models relied on their local conditions, regulations, and people’s habits. In Iraq, there is a lack of parking studies, and therefore, there is a lot of missing information which if be found, will be very valuable for better enhancing and managing the transportation network system. Institutional land use or Government Ministries are the land use type in which this research tries to find its parking generation rates. The goal is to produce models and rates for parking generation by using certain independent variables according to the characteristics of the land-use type. The research study area is the urban areas outside Baghdad CBD. Several sites were selected located in different parts of Baghdad. The number of study sites is three. The collected data about sites are the total number of site employees, site gross floor area, and maximum parked vehicles at each site for an Am and Pm period. Each site has a clear parking lot; besides, the sites were selected relied on particular criteria. The field survey was done at each site for defining days and times. The final stage is a data analysis and producing parking generation rates and models to determine the required parking demand for this land-use type. Statistical analysis of data, model generation, was done by the computer program (SPSS). It concluded that the institutional land use produced 0.94 spaces per 100 m2 of GFA and 0.1 spaces per employee.

Planning Method for Urban Subway Park-and-Ride Station and Parking Berth

For satisfying the growing demand of parking in urban area and relieving traffic congestion in downtown, under the condition of urban subway park-and-ride (P&R), the methods of site selection and scale calculation of parking lots are studied. Selecting Xi'an Rd. business circle in Dalian as study object, both survey and analysis of parking demand were conducted. Based on the principle of random equilibrium selection, the logit model of P&R demand was constructed. Then the forecasting models of parking demand both in downtown and peripheral zones were proposed respectively. Using the minimum travel distance of vehicles as the objective function, site selection optimization model of P&R station was constructed. The calculation methods of scale for parking lots in both downtown and P&R station were also processed. For the case of Xi'an Rd. business circle, not only the site of P&R station was planned, but the scale of parking berth was calculated. According to the plan and calculation, the total number of parking berth has increased from 3380 to 4011. Among the planned berths, 75.7 % are in the business circle and 24.3 % in P&R stations are outside downtown. Thus, the number of planned berths in the business circle has actually decreased by about 8 %. The research indicates that, for downtown with subway system, by reducing parking berths in downtown and increasing them in P&R stations outside the urban area, this planning method is more beneficial to relieve the problems of parking and traffic congestion in downtown than traditional method.

Forecasting Delivery Pattern through Floating Car Data: Empirical Evidence

This paper investigates the opportunities offered by floating car data (FCD) to infer delivering activities. A discrete trip-chain order model (within the random utility theory) for light goods vehicles (laden weight less than 3.5 tons) is hence proposed, which characterizes delivery tours in terms of the number of stops/deliveries performed. Thus, the main goal of the study is to calibrate a discrete choice model to estimate the number of stops/deliveries per tour by using FCD, which can be incorporated in a planning procedure for obtaining a preliminary assessment of parking demand. The data used refer to light goods vehicles operating in the Veneto region. The database contains more than 8000 tours undertaken in 60 working days. Satisfactory results have been obtained in terms of tour estimation and model transferability.

Evaluating the Dynamic Impact of Theater Performances and Sports Events on Parking Demand in Downtown Pittsburgh

The number of drivers using parking facilities (parking demand) in downtown Pittsburgh is highly variable throughout business operating hours, which makes an efficient operation of parking facilities challenging and results in congestion around the facilities. In this study, we applied an event-based ordinary least squares (OLS) regression model to the parking data set provided from one of the parking facilities, the Theater Square Garage in downtown Pittsburgh. We demonstrated that our model achieved a high R-squared value during time periods when parking demand is highly variable. Using the model, we revealed the dynamic (time-dependent) impact of theater performances and sports events on parking demand. This dynamic information can help facility managers appropriately adjust their operating settings (e.g., the number of staff and fee structure) during surge or vacant time periods accordingly. This model is applicable to various businesses in downtown areas that have increased customer flow from theater performances and sports events, not only parking garages.

Evaluation of Parking Demand and Future Requirement in the Urban Area

Whatever vehicle is traveling, it needs to stop in order to arrive road users their different goals. In most universities, parking becomes an important campus resource, for being as a place to come frequently and to spend long period. Now days parking problems increase with repaid growth of car ownership. So traffic and parking impact can be consider as a major source of contention within any community and can raise additional costs for universities, as well as urban areas facilities. The study aims to evaluate the current parking situation on the university campus in terms of the available supply and required demand of parking spaces in order to recommend future parking spaces need for the next five years. Data has had been collected according to field traffic and engineering survey, Videography method was used for this purpose. Inventories, Interviews and questionnaires included. Data analysis conducted with the aided of AASHTO and equation methods. The study concluded future parking required is 140 vehicle- spaces for the year 2026, according to population rate of growth also illegal parking leads to interference with the movements of pedestrians and their crossing, as well as reducing the capacity of the roads in the study area. Doi: 10.28991/cej-2021-03091767 Full Text: PDF

Improving Utilization Efficiency and Drivers’ Degree of Satisfaction in Urban Complex Parking Lot through Modelling the Dynamic Allocation of Parking Spaces

There are significant differences in the utilization efficiency of parking spaces in different spatial locations within the complex parking lots, which reduces the utilization efficiency of parking resources. For the above problem, a parking spaces supply demand characteristics indexes system was constructed. The Metro City complex was taken as an example, and its parking demand utilization characteristics were analyzed to judge the problem of parking spaces utilization. On this basis, a model of the dynamic allocation of parking spaces for parking spaces was constructed to improve drivers’ degree of degree of satisfaction and balance the occupancy rates for parking spaces in different zones. The simulation results show that after the implementation of the dynamic allocation of parking spaces, the differences of the parking spaces’ demand characteristic indexes between two different parking zones are significantly reduced. It was specifically observed that the differences between parking zones A and B in terms of turnover number, total parking time and average parking time were reduced from 2.24 times to 0.03 times, 1.3 h to 0.6 h and 2.2 h to 0.1 h, respectively, and the average interval time of parking spaces became smaller and more evenly distributed. It can be seen that this model can improve the overall utilization efficiency of the complex parking lot and drivers’ degrees of satisfaction.