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| 未来公共交通数字化出行影响因素及研究趋势 |
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侯彬彬1,2, 夏海山3
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1.澳门城市大学创新设计学院，博士研究生;2.苏州百年职业学院艺术设计学院，讲师;3.北京交通大学建筑与艺术学院，教授，博士生导师，hshxia@bjtu.edu.cn
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| 摘要: |
| 高速城市化进程要求建设协调可持续
交通系统，信通技术发展促使移动应用程序和
电子支付系统进一步普及，按需出行（MoD）、
共享出行（SM）和出行即服务（MaaS）等新
型交通模式迅速发展，数字化出行逐渐成为
人们完成日常活动的常规选择。然而，基于
数字技术的新型出行服务并不能平等惠及所
有区域和群体，未来公共交通系统数字化转
型引发环境和社会争议。为优化公共交通智
能移动系统建设，提升用户出行效率和体
验，本文结合MaaS 发展理念，从未来公共
交通数字化出行核心内涵着手，讨论归纳已
有研究方法，分析数字化出行基本问题和影
响因素，揭示未来数字化出行研究趋势。研
究表明，基于智能移动系统的交通出行服务
面临空间覆盖不均和弱势群体需求关注不足
等关键问题。未来公共交通数字化出行研究
应统筹关注建成环境、交通设施、时间因
素、社会经济以及数字网络、后疫情等影响
因素，进一步推进未来数字化出行研究方法
创新及计算模型开发、强化相关影响因素指
标量化及实证分析、提升数字化出行环境社
会影响评估及优化策略。通过分析未来公共
交通数字化出行影响因素及研究趋势，为优
化未来数字化出行系统，促进环境和社会包
容提供理论支撑和政策建议。 |
| 关键词: 按需出行 共享出行 出行即服
务 智能交通 交通可持续性 |
| DOI：10.13791/j.cnki.hsfwest.20250402007 |
| 分类号: |
| 基金项目:国家自然科学基金面上项目（52078027） |
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| Influencing factors and research trends of digital travel in future public transportation |
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HOU Binbin,XIA Haishan
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| Abstract: |
| With the rapid advancement of urbanization, the development of a coordinated and
sustainable urban transportation system has become a critical objective for promoting transportation
equity and enhancing public well-being. The proliferation of digital transportation technologies has
facilitated the emergence of various transportation applications and virtual services, including realtime
information retrieval, travel navigation, ticket booking, and electronic payment. Meanwhile,
innovative mobility solutions such as Mobility On Demand (MoD), Shared Mobility (SM),
Autonomous Vehicles (AV), and Urban Air Mobility (UAM) are progressively reshaping modern travel
ecosystems, fostering the evolution of integrated transportation systems across urban and intercity
contexts. Furthermore, Mobility as a Service (MaaS) has evolved beyond its initial goal of reducing
private car dependency into a comprehensive and seamless transportation network. By integrating
public transit with shared mobility, autonomous transport, and other intelligent transportation modes,
MaaS consolidates transportation information acquisition, travel service reservations, mobile payment
systems, and multi-modal coordination. Through a unified digital interface and centralized payment
mechanism, MaaS enhances connectivity between diverse transportation modes, facilitating seamless
transfers and on-demand mobility customization, thereby increasing public transit utilization,
advancing multi-modal travel, and improving overall travel efficiency and flexibility.To advance the
digitalization of public transportation and enhance mobility efficiency in urban and metropolitan areas,
MaaS-based intelligent systems have emerged as a crucial component of public transport
infrastructure. While integrated travel solutions effectively reduce private vehicle reliance, extend
travel distances, and enhance convenience, the digitalization of transportation services does not
equitably benefit all population groups, raising concerns regarding transportation equity. Disparities in
mobility choices, access to transport resources, and regional differences exacerbate inequalities in
digital travel services, contributing to a mobility divide in integrated transportation systems. Although
MaaS has the potential to enhance transportation equity by integrating multiple platforms and reducing
service fragmentation, its design and implementation, if inadequately managed, may inadvertently
reinforce existing disparities in mobility access.To optimize intelligent mobility systems and promote
regional transportation equity, this study integrates the MaaS development framework to examine the
relationship between integrated travel and transportation fairness. Specifically, it explores the core
theoretical underpinnings of this relationship, synthesizes existing research methodologies, analyzes
key challenges and determinants of multi-modal travel equity, and investigates future research
directions in the digitalization of public transportation. This research aims to provide insights and
recommendations for developing a human-centered, low-carbon, and sustainable intelligent mobility
system.While integrated travel systems enhance travel efficiency and adaptability, ensuring equitable
access to transportation resources, particularly for vulnerable populations, is imperative to prevent the
deepening of mobility disparities. MaaS platforms offer significant potential for delivering
personalized and inclusive travel solutions. Existing research employs various data collection
techniques, including surveys, travel diaries, and expert interviews, alongside quantitative
methodologies such as descriptive statistics, Pearson correlation coefficients, Logit models, and
machine learning algorithms (e.g., XGBoost) to analyze travel behaviors and mode selection. Equity
assessments of integrated travel often incorporate measures such as the Gini index and perceivedaccessibility scales to evaluate disparities in mobility access. These studies underscore the necessity of balancing service efficiency with equity considerations in
transportation planning. Research findings indicate that intelligent mobility systems face critical challenges in spatial accessibility and the accommodation of
marginalized populations. Digital mobility services exhibit higher spatial coverage in urban centers compared to suburban and rural areas, disproportionately
benefiting high-density communities over lower-density ones. Furthermore, these services provide significantly greater coverage for work-related commuting
than for non-commuting and multi-modal activity-based travel. Socio-demographic disparities are also evident, as women, older adults, low-income individuals,
those with lower educational attainment, non-car owners, and caregivers traveling with young children are less likely to benefit from digitalized mobility services
compared to men, university graduates, and car owners. Future research on public transportation digitalization should adopt a comprehensive and multidimensional
approach, incorporating factors such as built environment characteristics, transportation infrastructure, temporal dynamics, socio-economic
conditions, digital connectivity, and external disruptions such as the COVID-19 pandemic. Advancing research in this domain necessitates methodological
innovation, including the development of enhanced computational models to assess integrated travel equity, improved quantification and empirical validation of
key influencing factors, and refined environmental and social impact assessments of multi-modal mobility systems. Future investigations should prioritize the
holistic evaluation of mobility equity, leveraging emerging technologies and analytical frameworks to improve assessment accuracy. Key areas of inquiry include
travel mode diversification, accessibility assessment, environmental and social externalities, green mobility adoption, and transportation user satisfaction—each
of which holds critical implications for evidence-based policy design. This study aims to explore the intricate relationship between integrated travel and
transportation equity, critically examining the role of digitalized public transport systems in mitigating or exacerbating mobility disparities. By offering
theoretical insights and policy recommendations, this research seeks to contribute to the optimization of intelligent public transportation systems, the promotion
of socially inclusive and equitable mobility solutions, and the enhancement of travel opportunities for vulnerable and underserved populations. |
| Key words: Mobility on Demand (MoD) Shared Mobility (SM) Mobility as a Service (MaaS) intelligent transportation transport sustainability |
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