Accessibility indicators, measuring the ease of reaching destinations via a specific mode of transport, are increasingly used in planning and research as they support integrated land use and transport planning. Research has shown that increased local accessibility (walkability for example) is associated with an increase in walking mode share, whereas increase in public transport accessibility is associated with a greater use of public transport. Yet, while public transport agencies are promoting the combination of active and public transport options to address one's diverse mobility needs, local and regional accessibility are rarely addressed together in research or practice. This research aims to determine the joint influence of local and regional accessibility on the transport mode used for work trips in the Montreal metropolitan region, while controlling for socio-demographic characteristics. Data come from the 2013 Origin-Destination survey 2016 Canadian census, 2017 public transport data DMTI Enhanced points of interests. A multinomial logistic model is used to understand how local and regional accessibility are associated with walking, cycling or taking public transport to work across individuals. The results demonstrate that increases in both local and regional accessibility are associated with a higher probability of using sustainable modes. The predicted probabilities suggest that local accessibility is more closely associated with a decrease in car use. This study sheds light on the interaction between local and regional land use and transport systems and is of relevance to planners and policymakers wishing to develop neighborhoods that support the use of sustainable modes.

用于衡量通过特定运输方式到达目的地的难易程度的可访问性指标越来越多地用于规划和研究中，因为它们支持土地综合利用和交通规划。研究表明，增加的本地可及性（例如，可步行性）与步行模式份额的增加相关，而公共交通可及性的增加与公共交通的更多使用相关。然而，尽管公共交通机构正在促进将主动和公共交通选择相结合以解决个人多样化的出行需求，但是在研究或实践中很少同时解决本地和区域可及性问题。这项研究旨在确定本地和区域无障碍环境对蒙特利尔都会区工作旅行所使用的交通方式的共同影响，同时控制社会人口特征。数据来自2013年原籍地调查，2016年加拿大人口普查，2017年公共交通数据DMTI增强的兴趣点。多项逻辑模型用于了解本地和区域的可达性如何与步行，骑自行车或乘坐公共交通工具跨个人工作相关联。结果表明，本地和区域可访问性的增加与使用可持续模式的可能性更高。预测的概率表明，本地可及性与减少汽车使用量密切相关。