利用有序对数模型分析影响休闲活动时间的因素

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-10-20 DOI:10.1080/19427867.2023.2266189

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引用次数: 0

摘要

本研究的目的是分析布达佩斯休闲活动花费的时间，同时考虑五个影响因素。数据是通过使用 Python 的位置服务从谷歌大众时间（GPT）中收集的，数据集包含 2022 年 7 月的 1336 个条目。分析采用了有序对数模型（OLM）。结果显示，约有 17% 的游客将大量时间用于休闲，而一半游客的休闲时间相对较少。休闲时间受评分和地点的积极影响，但受安全级别的消极影响。这项研究证明了 GPT 数据在了解个人行为方面的实用性，为决策者、旅游管理者和规划者提供了宝贵的见解。此外，它还揭示了与休闲相关的交通模式，有助于确定休闲活动的热门地点和高峰时段。这些信息可间接影响特定区域的交通流量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of the factors affecting the time spent on leisure activities by using an ordered logit model

The objective of the current study is to analyze the time spent on leisure activities in Budapest, considering five influencing factors. Data were collected from Google Popular Time (GPT) via location services using Python, resulting in a dataset of 1336 entries from July 2022. The analysis utilized the Ordered Logit Model (OLM). According to the outcomes, about 17% of visitors allocate significant time to leisure, while half spend relatively less. Leisure time is positively influenced by ratings and location but negatively affected by security levels. This study demonstrates the utility of GPT data for understanding individual behavior, offering valuable insights for decision-makers, tourism managers, and planners. Additionally, it sheds light on leisure-related traffic patterns, aiding in the identification of popular locations and peak time periods for leisure activities. This information can indirectly impact traffic flow in specific areas.

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来源期刊

Transportation Letters-The International Journal of Transportation Research TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

6.40

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.