Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China

IF 5.1 2区 工程技术 Q1 TRANSPORTATION
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引用次数: 0

Abstract

Non-mandatory activities (e.g., shopping and leisure) are irregular in space and time, resulting in complex interactions between individuals and urban spaces. Understanding the associated factors of non-mandatory activities is vital for effective urban transport planning and management. This study uses travel survey data from Guangzhou, China, and a random forest (RF) model to investigate non-linear relationships between non-mandatory activities and their associated factors from the perspectives of time, location, built environment, activity dependency, and individual socioeconomic status, on both weekdays and weekends. The contribution of each factor to different non-mandatory activities is examined by a post hoc interpretable method, Shapley Additive exPlanations (SHAP). The results show that activity start time and activity dependency factors have a more significant impact on non-mandatory activities on weekdays, while duration has a greater influence on weekends. Built environment factors like wholesale and retail points of interest (POIs) play a significant role in shopping activities on both weekdays and weekends, while tourism POIs have a greater impact on leisure activities on weekends. Additionally, our analysis reveals the nonlinear dependencies and threshold effects of the top three factors for each category of non-mandatory activities and highlights their disparities between weekdays and weekends.

利用机器学习和 SHAP 解释理解与个人非强制性活动相关的因素:中国广州案例研究
非强制性活动(如购物和休闲)在空间和时间上不规则,导致个人与城市空间之间的复杂互动。了解非强制性活动的相关因素对于有效的城市交通规划和管理至关重要。本研究利用中国广州的出行调查数据和随机森林(RF)模型,从时间、地点、建筑环境、活动依赖性和个人社会经济地位等角度,研究了工作日和周末非强制性活动与其相关因素之间的非线性关系。通过一种事后可解释的方法--夏普利加法平面图(SHAP),研究了每个因素对不同非强制性活动的贡献。结果表明,活动开始时间和活动依赖因素对工作日非强制性活动的影响更大,而持续时间对周末的影响更大。建筑环境因素,如批发和零售兴趣点(POIs)对工作日和周末的购物活动都有重要影响,而旅游兴趣点对周末的休闲活动影响更大。此外,我们的分析还揭示了前三个因素对各类非强制性活动的非线性依赖性和门槛效应,并突出了它们在工作日和周末之间的差异。
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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来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
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