温州丰昌家园停车场MNT评价模型分析数据

随着城市化进程的加快，汽车保有量急剧增加，停车场作为城市交通系统的重要组成部分，其经营与管理显得尤为关键。通过建立停车场MNT模型看清停车场的经营情况，从而制定不同的策略，提升城市交通环节运行效率。一、提升场地规划与建设的科学性：通过停车场MNT模型，可以快速识别出价值较高和需要扶持的停车场，长期价值较高的停车场可扩大场地，满足市民出行需求并提升收入。长期价值较低停车场可适当缩减场地压降成本、增加充电车位提升差异化竞争优势。二、提升低收费停车场经营收入：通过对停车场采取一定措施如推荐包月包年等优惠策略，吸引客流提升经营收入。一、数据采集：通过采集一定时间段相关数据，包括停车场名称、日期、泊位总数、停车次数、免费次数、总停车时长、平均停车时长、实收金额合计、平均收费金额等原始数据字段。 二、算法规则：通过比较该停车场和公司旗下所有停车场一段时间内平均停车次数、平均停车时长、平均收费金额数据，建立停车场MNT评价模型。三、计算公式：1、平均停车时长=总停车时长/停车次数；平均收费金额=实收金额合计/停车次数。四、根据计算结果，若停车次数高于公司所有停车场平均停车次数的赋M，否则赋m；平均停车时长高于公司所有停车场平均停车时长的赋N，否则赋n；平均收费金额高于公司所有停车场平均收费金额的赋T，否则赋t。五、根据MNT模型分层规则，将停车场分为4个层级，分别为重要价值（MNT）、重要发展（mNT、MnT、MNt）、一般价值（Mnt、mNt、mnT）、重点扶持（mnt），不同层级制定不同的经营策略，并进行优化。

With the accelerating pace of urbanization and the sharp growth in vehicle ownership, parking lots, as a critical component of urban transportation systems, have made their operation and management increasingly vital. Establishing a parking lot MNT model to clarify the operational status of parking lots allows formulating targeted strategies to improve the operational efficiency of urban transportation links.
1. Enhancing the scientificity of site planning and construction: The parking lot MNT model can quickly identify parking lots with high value and those in need of support. For parking lots with high long-term value, their site scale can be expanded to meet citizens' travel demands and increase revenue. For parking lots with low long-term value, the site scale can be appropriately reduced to cut costs, while adding charging parking spaces to enhance differentiated competitive advantages.
2. Increasing operating revenue of low-fee parking lots: By implementing targeted measures for parking lots, such as recommending preferential policies including monthly and annual subscription packages, we can attract more traffic and boost operating revenue.
1. Data collection: Collect relevant data over a specified time period, including original data fields such as parking lot name, date, total number of berths, number of parking occurrences, number of free parking instances, total parking duration, average parking duration, total actual received revenue, and average charging fee.
2. Algorithm rules: Compare the average number of parking occurrences, average parking duration, and average charging fee of the target parking lot with those of all parking lots under the company over a certain period, and establish the parking lot MNT evaluation model.
3. Calculation formulas: Average parking duration = Total parking duration / Number of parking occurrences; Average charging fee = Total actual received revenue / Number of parking occurrences.
4. Tier assignment rules: Based on the calculation results, assign the value M if the number of parking occurrences is higher than the average of all company parking lots, otherwise assign m; assign N if the average parking duration is higher than the company average, otherwise assign n; assign T if the average charging fee is higher than the company average, otherwise assign t.
5. Hierarchical classification and strategy optimization: According to the MNT model layering rules, parking lots are divided into four tiers: Important Value (MNT), Important Development (mNT, MnT, MNt), General Value (Mnt, mNt, mnT), and Key Support (mnt). Different operating strategies should be formulated and optimized for each tier.

搜集汇总

数据集介绍

特点

该数据集记录了温州丰昌家园停车场的运营数据，包括泊位总数、停车次数、免费次数、总停车时长、平均停车时长、实收金额合计、平均收费金额等关键指标。通过MNT评价模型，对停车场的经营情况进行分层评价，为停车场管理和策略制定提供数据支持。数据集规模为2016条，每年更新一次，适用于城市交通管理和停车场运营优化场景。