While urban regions continue to grow, much of the urbanization that is occurring is better described as suburbanization. This is generating and will continue to generate immense pressure on our social and environmental systems. To address these challenges and exploit specific suburban opportunities, cities globally require a complete understanding of the complexity of how human and environmental systems are uniquely intertwined within suburban contexts. The Suburban Mobilities (SuMo) cluster at the University of Toronto Scarborough (UTSC) aims to address these academic and policy challenges, generating transformative, interdisciplinary, partnered research about suburban contexts that will allow communities to solve transportation challenges facing the suburbanized world in the twenty-first century. Among the multiple projects developed within the SuMo cluster, one highlight is the design of a multidimensional survey in Scarborough, an eastern suburb of Toronto, Canada. Multiple transportation, land use, pricing and census data sources have allowed us to characterize this area to date, and we wondered what information would be helpful to collect in a survey to fill data gaps that will enable a better and deeper characterization of transportation’s impacts on quality of life of people living in Scarborough. This article details the particularities of the Scarborough context, as well as the design process, sampling strategy, representativeness, main descriptive results, and ongoing work using the survey. Finally, reduced and aggregated survey data is available for the general public with respective documentation for ease of use.

虽然城市地区继续增长，但大部分正在发生的城市化更准确地描述为郊区化。这正在并将继续对我们的社会和环境系统产生巨大压力。为了应对这些挑战并利用特定的郊区机遇，全球城市需要全面了解人类和环境系统在郊区环境中如何独特地交织在一起的复杂性。多伦多大学士嘉堡分校 （UTSC） 的郊区流动性 （SuMo） 集群旨在应对这些学术和政策挑战，产生关于郊区环境的变革性、跨学科、合作研究，这将使社区能够解决 21 世纪郊区化世界面临的交通挑战。在 SuMo 集群内开发的多个项目中，一个亮点是在加拿大多伦多东郊士嘉堡设计的多维调查。迄今为止，多个交通、土地使用、定价和人口普查数据源使我们能够描述该区域，我们想知道在调查中收集哪些信息将有助于填补数据空白，从而能够更好、更深入地描述交通对士嘉堡居民生活质量的影响。本文详细介绍了士嘉堡环境的特殊性，以及设计过程、抽样策略、代表性、主要描述性结果和使用调查正在进行的工作。最后，为方便使用，公众可以使用简化和汇总的调查数据以及相应的文档。