The impact of sustainable mobility may be considered through the mode of non-motorization, which may vary by spatial environmental conditions, especially accessibility by active mobility in a necessarily safe, comfortable, and pleasant atmosphere. Sustainable mobility comprises willingness to allow commuting behaviors on non-motorized travel for safety and green ethics. These chiefly participate to create livable places, improve health and well-being, and promote quality of life and economic growth. By contrast, an impoverished street environment decreases the possibility of active mobility and relies on motorization. It is essential to explore the perception of road users through diverse environmental features of street networks and sidewalks directly affecting road user behavior and preferences about motorization and non-motorization. This study evaluated multi-indicators of sustainable urban mobility (SUM) for a group of road users, with data gathered by questionnaire-based survey. 1,998 Pathum Thani Province inhabitants in Thailand were asked to evaluate their neighborhood characteristics by SUM indicators. In addition to different social dimensions and socioeconomic backgrounds, transportation characteristics among diverse trip makers and different perceptions of mobility indicators were classified by factor analysis using principal components and spatial visualization. Results were that traffic management, including intersection controls and signage, as well as information, sidewalk, management, and personal mobility choices, is a key strategy to improve sustainable mobility. This is achieved by tailoring solutions to achieve a modal shift prioritized over other supportive facilities.

中文翻译：

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评估可持续交通：泰国郊区的机动和非机动模式

可持续交通的影响可以通过非机动化模式来考虑，非机动化模式可能因空间环境条件而异，特别是在安全、舒适和愉快的氛围中通过主动交通实现可达性。可持续出行包括出于安全和绿色道德考虑，愿意允许非机动出行的通勤行为。这些主要参与创造宜居场所、改善健康和福祉、促进生活质量和经济增长。相比之下，贫困的街道环境降低了主动出行的可能性并依赖于机动化。有必要通过直接影响道路使用者行为以及机动化和非机动化偏好的街道网络和人行道的不同环境特征来探索道路使用者的感知。本研究通过问卷调查收集数据，评估了一组道路使用者的可持续城市交通（SUM）的多项指标。泰国巴吞他尼府的 1,998 名居民被要求通过 SUM 指标评估他们的社区特征。除了不同的社会维度和社会经济背景外，还通过使用主成分和空间可视化的因子分析对不同出行者的交通特征和对出行指标的不同感知进行了分类。结果表明，交通管理，包括交叉口控制和标牌，以及信息、人行道、管理和个人出行选择，是改善可持续出行的关键策略。这是通过定制解决方案来实现优先于其他支持设施的模式转变来实现的。