Speakers
Description
The Spatial Mismatch Hypothesis (SMH) suggests that low-income populations are often geographically separated from job-rich areas, reducing employment opportunities and longer commutes. Multimodal transportation, by integrating two or more modes of transport in a single journey, has become increasingly crucial in addressing these urban mobility challenges and mitigating the effects of such spatial mismatches. At the same time, limited studies examined whether multimodal transportation can reduce the impact of the Spatial Mismatch Hypothesis (SMH). This study examines equity among commuters in Shenzhen, China, by utilizing multiple data sources to identify the demographics and factors influencing the adoption of multimodal transport methods. The study analyzes the spatial characteristics of commuters within the context of the SMH. It also compares the efficiency of different transport options and assesses the potential of multimodal transportation to mitigate the impacts of spatial mismatch. The findings highlight the importance of integrated transportation planning and policy-making to support efficient and sustainable commuting solutions. This research provides valuable insights for urban planners and policymakers aiming to enhance the commuter experience, promote the adoption of multimodal transportation, and address spatial inequities in rapidly growing urban areas.
| Keywords | multimodality transportation, transport equity, commuting behavior |
|---|---|
| Best Congress Paper Award | Yes |
