A monthly pass usually remains valid for 30 days. Cost stores the cost, in local currency, that a customer must pay to purchase a pass. Section 3: Reservations Our last section is dedicated to detailing the parking slot reservation process. When placing a reservation, a customer must typically provide certain details, such as their expected date and time of arrival, the amount of time for which theyd like to reserve the slot, and. We discuss the two main tables of this section below. Parking_slot_reservation maintains reservation details. The columns for this table are: id assigns a unique reference number to an individual reservation request. Customer_id reference to the identifier of the customer who is making this reservation.
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Registration_date stores stern the date when the vehicle was first registered with the parking lot. Is_regular_customer indicates whether a customer has regular pass. If the column stores a value of true, then there must exist a valid entry in the regular_pass table. Once a pass expires and the customer has not yet renewed it, the value in this column is updated to false. Contact_number stores a customers short contact number. Since some people are reluctant to share their contact numbers with parking lots, weve kept this column nullable. Regular_pass stores information about regular passes that are issued to customers. Customer_id a referenced column from the customer table. Purchase_date stores the date on which the pass was purchased. Start_date stores the date on which the pass will be considered valid, which may not necessarily be the date of purchase, as some customers purchase passes in advance. Duration_in_days stores the number of days for which a pass is valid.
The columns for this table are: id primary key for this table. Floor_id identifies the floor to which a slot teresa belongs. Slot_number stores the unique identifier of the slot on a particular floor. Wing_code identifies the wing in which a slot is located. Section 2: Customers moving on, well now begin detailing all relevant information about customers. Note that parking lots are not concerned with capturing and storing personal information like names, addresses, etc., as they can access their local dmv portals at any time to obtain such information, if needed. Customer stores all relevant details about all kinds of customers who may visit the parking lot (regular, one time, and prepaid). The columns for this table are: id unique identifier for the customer. Vehicle_number stores the license plate number of a customers vehicle.
Is_covered identifies whether a floor hotel is covered. The top floor of a multi-level parking lot or a ground-level parking lot will never be covered. Is_accessible indicates whether the floor is easily accessible, especially by the handicapped. If a multi-level lot has an operational elevator, each of its floors is considered to be accessible. Is_floor_full indicates whether a floor is fully occupied. Is_reserved_reg_cust indicates whether a floor is strictly reserved for regular customers. Parking_slot this table stores all information about the parking slots of a parking lot.
However, this table can also be referenced by ground-level blocks. Block_id identifies the block to which a floor belongs. Floor_number represents the number of a floor (where 1 ground level). Max_height_in_inch in a multi-level parking lot, each floor has a height constraint. This column stores the maximum permissible height for vehicles on a floor. Number_of_wings a floor is further divided into wings, which help customers remember where they parked. This column stores the number of wings that exist on a floor. Number_of_slots stores the number of slots that exist on a floor.
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Is_valet_parking_available signifies whether the parking essay lot offers valet parking services. Block a parking lot is divided into one or more blocks. This table stores information about each block of a parking lot. The columns for this table are: a parking lot is divided into one or more blocks. Parking_lot_id the referenced column from the parking_lot table that identifies the parking lot to which the block belongs.
Block_code stores the code associated with this block. Blocks are usually given uniquely identifying codes, such as a, b, c, 11, 22, 33, and. Number_of_floors stores the number of floors in this block. The number 1 indicates that this is a ground-level block with no floors. Is_block_full signifies whether the block is currently full. Floor in multi-level parking lots, blocks can have more than one floor.
In accordance with the parking lot structure we discussed in the introduction, weve created the following tables to capture each and every detail well need. Parking_lot stores basic information about a parking lot. The columns for this table are: id the primary key for this table. It assigns a unique number to each parking lot. Number_of_blocks tracks the number of blocks in a parking lot. Is_slot_available signifies whether the parking lot currently has any available slots.
Address stores the complete address of a parking lot. Zip stores the zip code of a parking lot, allowing customers to more easily search for available parking lots within a certain area by simply querying their desired zip code. Is_reentry_allowed signifies whether a customer may exit the parking lot and re-enter with the same parking slip. Note that many parking lots typically dont allow customers to do this. In such parking lots, you must purchase a new slip every time you re-enter on a given day. Operating_company_name stores the name of the company that operates the parking lot.
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The reservation process here is essentially the same as the one for prepaid customers. However, a walk-in reservation depends entirely on availability. A slot may cost you more than if you were to reserve a spot ahead of time, especially if there is limited availability and high demand. Data model, with these requirements in mind, lets go ahead and create our data model. This time, well be working with three main sections: Parking lot, customer, parking reservation. Lets take a closer look at each of these areas of our data model. Section 1: Parking Lot, the parking Lot section not only captures all important information about the parking lot itself but also simplifies the manner in which the smallest unit of the parking lot (a slot) can be managed by the company. Some table columns have been added for the sole purpose of making parking reservations and operations proposal more efficient in later sections.
A parking lot typically reserves an entire block or floor for its regular visitors to ensure they always have places to park. Regular customers may also reserve slots for themselves so they can park their vehicles in the best same designated slots every day, but this typically costs extra. Those who make remote parking reservations may typically only use their designated slots for a limited time window of a couple hours, after which the slots are freed. When these visitors enter the parking lot, they must park in their reserved slots. A penalty is charged to customers who do not leave the parking lot after their time windows elapse, but customers can certainly leave before their reservations expire. Some parking lots have a fixed minimum time window (e.g., the customer may have to book a slot for three hours even if they are only going to be gone for one hour). Walk-in customers are given parking slips when they enter a parking lot. A parking slot is then assigned to the customer as the slip is generated, based on preferences they have specified.
who visit parking lots. Customers who enter parking lots belong to one of the following groups: A regular customer who has purchased a biweekly, monthly, or yearly pass. A prepaid customer who booked a slot remotely (on the phone or online). A walk-in customer who neither has a pass nor booked a slot remotely. A slot will be assigned to such a customer based on availability. Regular customers are usually given cards/stickers to place somewhere visible on their dashboard or windshield so the parking lot management can easily determine that the customers are not in violation of any parking rules. Unlike occasional visitors, regular customers are never issued parking slips on a daily basis.
In this article, well construct a data model for such a system. Introduction, before we begin constructing our degenerative data model, we should first understand how parking lots are structured and how they operate. Lets take a brief look at these two key areas. How are parking lots structured? A typical parking lot consists of one or more blocks that are further subdivided into floors. Each floor contains multiple wings that help drivers orient themselves and remember their parking spots. These are usually labeled with letters, such as a, b, c, and. A floor usually has a height limit that restricts certain vehicles from entering the parking lot. Additionally, a floor contains several uniquely numbered parking slots.
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Sandra, sandra and parmanto, parmanto and laksono, dicko (2008). Preview "document_typename_pdf" not defined sk-abstrak. Pdf, download (26kB) span friendship class"ep_document_citation" a class"ep_document_link" href 2398/1/ sk-abstrak. Pdf" span not defined /span /a br / span class"document_filename" sk-abstrak. Pdf /span /span 'preview, official url: /Collections/ethesis_det. Actions (login required view Item). Research shows that cars remain parked for 95 of their lifetime, suggesting that parking lot management systems should be smart, efficient, and robust.