临平区非遗体验场馆便利性评价数据

本数据有助于临平区非遗体验场馆的管理者跟据便利性评分和网络情感评分数据识别便利性问题，如优化场馆的交通连接和停车设施，提升用户体验。有助于临平区的交通管理部门通过便利性评分和场馆位置等数据，识别出需要改善交通连接的区域，为交通规划决策提供数据支持。有助于相关活动组织方跟据便利性评分数据作为场馆筛选的考虑因素，吸引更多活动的参与者。步骤1，数据收集和预处理：从公司文化保障卡服务系统中自动抽取临平区域非遗体验场馆相关数据，包括场馆ID、地理位置、最近公共交通站点距离、停车位数量、正面评价数量、总评价数量。通过数据清洗去除无效或错误记录，确保数据质量。
步骤2，公共交通可达性评分计算，按以下公式计算：公共交通可达性评分 = (1 - (距离 / 最大距离阈值)) × 频次系数 × 类型系数。
步骤3，停车设施评分计算，按以下公式计算：停车设施评分 = (停车位数量 / 最大停车位数量) × 费用可承受系数
步骤4，网络评价情感评分：使用自然语言处理（NLP）技术来评估每条评论的情感倾向，并按以下公式计算网络评价情感评分：网络评价情感分数 = 正面评价数量 / 总评价数量
步骤5，便利性评分计算，按以下公式:便利性评分=α× 公共交通可达性评分 + β× 停车设施评分 + γ× 网络评价情感评分，其中，α、β、γ 是权重因子，根据实际重要性分配和调整。

This dataset assists managers of intangible cultural heritage experience venues in Linping District in identifying convenience-related issues—such as optimizing transportation connections and parking facilities—to enhance user experience, based on convenience scores and online sentiment scores. It also supports traffic management departments in Linping District in identifying areas requiring improved transportation connections via data including convenience scores and venue locations, providing data support for transportation planning decision-making. Additionally, it helps event organizers use convenience scores as a criterion for venue selection to attract more event participants.

Step 1: Data Collection and Preprocessing
Automatically extract data related to intangible cultural heritage experience venues in Linping District from the Corporate Cultural Security Card Service System, including venue ID, geographic location, distance to the nearest public transit stop, number of parking spaces, number of positive reviews, and total number of reviews. Perform data cleaning to remove invalid or erroneous records and ensure data quality.

Step 2: Public Transit Accessibility Score Calculation
Calculate the public transit accessibility score using the following formula:
Public Transit Accessibility Score = (1 - (Distance / Maximum Distance Threshold)) × Frequency Coefficient × Type Coefficient

Step 3: Parking Facility Score Calculation
Calculate the parking facility score using the following formula:
Parking Facility Score = (Number of Parking Spaces / Maximum Number of Parking Spaces) × Affordability Coefficient

Step 4: Online Review Sentiment Score Calculation
Use Natural Language Processing (NLP) technology to evaluate the sentiment tendency of each review, and calculate the online review sentiment score using the following formula:
Online Review Sentiment Score = Number of Positive Reviews / Total Number of Reviews

Step 5: Convenience Score Calculation
Calculate the convenience score using the following formula:
Convenience Score = α × Public Transit Accessibility Score + β × Parking Facility Score + γ × Online Review Sentiment Score
where α, β, and γ are weight factors assigned and adjusted based on their actual importance.

搜集汇总

数据集介绍

特点

该数据集包含临平区非遗体验场馆的便利性评价数据，共计505条记录，涵盖场馆ID、位置、公共交通可达性评分、停车设施评分和网络情感评分等关键字段。通过特定算法计算便利性评分，旨在帮助场馆管理者、交通管理部门和活动组织方优化场馆设施和交通规划，提升用户体验。