二季度南浔区景区游客来源地分析数据

根据第二季度游客来源地所占份额，可以反映旅游趋势和各地区对南浔区旅游的兴趣程度，反映出当下旅游的主要人群，帮助各大景区更加精准地细分市场，针对不同地区的游客需求开发或优化旅游产品；为各大景区制定更加有效的营销策略提供数据支持，可以利用社交媒体、短视频平台等新媒体渠道进行宣传推广。文旅部门依据客源数据，制定更加符合市场需求的旅游政策和发展规划，调整宣传方向。根据客源地的地方特点，引进对应的饮食、文化等相关商业，为有意向在此地投资的企业提供经营方向，满足多数地区游客的喜好。因为不同季度景区景观不同，温度不同，且受节假日影响不同，故进行分季度研究。（例如，第四季度受国庆假期影响，人流量会增大；第三季度节假日少，整体吸引力依靠景区及经营策略本身）1.数据来源：数据来源于南浔古镇实景三维-一网统管平台，根据第二季度南浔区各景区实际情况实时记录，我公司已获得统管平台所有权人“浙江南浔古镇旅游发展有限公司”数据使用授权许可。2.算法：以固定时间为统计周期（从开始时间，到结束时间，误差时间忽略不计）每个有游客游览记录的市统计一次。若某周期内某地区无游客，则不记录；通过机器检测及人工识别协同运作监测，根据身份证等相关身份文件，识别游客来源地（以户籍地视为“来源”），以进入南浔区旅游区第一次被监测地为锚点，在本地区内满足2小时则为游客。比如说，身份识别信息为“舟山”的游客，以进入南浔旅游度假区的第一次被监测（人工核验或机器扫描）为锚点，停留时长满足2小时，在该日/周期该地区计1个国内游客，季度总数为累计数量；2、数据分析：本季度国外游客占比=本季度国外游客总数/本季度游客总数*100%，本季度国内游客占比=本季度国内游客总数/本季度游客总数*100%，分类汇总排序占比计算由统管平台直接完成； 3、使用哈希表结合归并排序法对客源地进行处理，直接输出本季度国内及国外游客来源占比前三的地区，对数据进行多维度复用，例如：指导相关部门针对性宣传；在相同季度提前安排针对该区域游客的游览倾向服务准备等。

By analyzing the share of tourist origins in the second quarter, we can reflect tourism trends and the interest of various regions in tourism in Nanxun District, identify the core tourist groups of the current market, help major scenic spots accurately segment the market, develop or optimize tourism products tailored to the demands of tourists from different regions; provide data support for major scenic spots to formulate more effective marketing strategies, and carry out promotion via new media channels such as social media and short-video platforms. Cultural and tourism authorities can formulate tourism policies and development plans that better align with market demands and adjust publicity directions based on tourist origin data. According to the local characteristics of tourist origins, corresponding businesses such as catering and cultural industries can be introduced, providing investment directions for enterprises intending to operate here and meeting the preferences of tourists from most regions. Since scenic landscapes, temperatures, and the impact of holidays vary across quarters, quarterly research is conducted. (For example, the fourth quarter witnesses a surge in passenger flow due to the National Day holiday; the third quarter has fewer public holidays, and its overall attraction depends on the scenic spots themselves and business strategies.) 1. Data Source: The data is sourced from the Nanxun Ancient Town Real 3D-Unified Management Platform, and is recorded in real time based on the actual operation of each scenic spot in Nanxun District during the second quarter. Our company has obtained the data usage authorization from the platform owner, 'Zhejiang Nanxun Ancient Town Tourism Development Co., Ltd.'. 2. Algorithm: Take a fixed time period (from the start time to the end time, with statistical error ignored) as the statistical cycle, and conduct one count for each city with tourist visit records. No record will be made for regions with no tourists within a given cycle; tourist origin identification is carried out through collaborative monitoring of machine detection and manual recognition, using identity documents such as ID cards, with the household registration place defined as the "source". The first monitored location when a tourist enters the Nanxun District tourist area is taken as the anchor point, and a tourist is defined as one who stays in the area for no less than 2 hours. For example, a tourist with identity information indicating "Zhoushan" will be counted as 1 domestic tourist on that day or within the statistical cycle if they are first monitored (via manual verification or machine scanning) upon entering Nanxun Tourism Resort and stay for 2 hours; the quarterly total is the cumulative count of such visitors. 3. Data Processing and Analysis: The proportion of foreign tourists in the current quarter is calculated as (total number of foreign tourists in the current quarter / total number of tourists in the current quarter) * 100%, and the proportion of domestic tourists is calculated in the same manner. The classification, summary, sorting and proportion calculation are directly completed by the unified management platform; A hash table combined with merge sort is used to process tourist origin data, and the top three regions with the highest proportion of domestic and foreign tourists in the current quarter are directly output. The data can be reused in multiple dimensions, for example: guiding relevant departments to carry out targeted publicity; arranging service preparations for tourists from specific regions in advance in the same quarter, etc.

搜集汇总

数据集介绍

特点

该数据集记录了2024年第二季度南浔区景区游客的来源地信息，包括国内外游客数量、占比及来源前三的地区，数据规模为5175条，适用于旅游市场分析和营销策略制定。