The Oxford Main Street Study is underway to investigate the potential for bicycle, pedestrian and transit improvements along Route 67 in Oxford. The study is being funded by the Naugatuck Valley Council of Governments (NVCOG) with federal transportation planning funds and is being conducted by TranSystems, a planning and engineering consultant with offices in Meriden, CT. It is being overseen by the Oxford Main Street Committee that was formed in 2017.
Unlike many of its neighbors, Oxford does not have a typical walkable New England downtown or Main Street. Instead, municipal services and commercial areas are dispersed along with residences along State Route 67. Although Route 67 is fundamentally Oxford’s “Main Street,” it currently has no sidewalks or any safe bicycle or pedestrian access, and traffic speeds are excessive with no visual cues to alert motorists that they are driving through an area where they may encounter walkers or bicyclists. In addition, no public transit is operated along Route 67 that could provide residents an alternative transportation option. Transit options by train on Metro North and by bus on CT Transit are available only one mile from the Oxford town line, but there is currently no way for Oxford residents to safely access these services without a personal motor vehicle.
In Oxford’s 2018 Plan of Conservation and Development, the town prioritized creating more of a downtown feel along Route 67, and the Oxford Main Street Committee has been investigating streetscape improvements, sidewalks and trails within the corridor to improve non-motorized access. The study will build on the committee’s prior work to develop a cohesive plan for the entire corridor to better enable the Town to plan, prioritize, and fund future improvements.
This webpage will be continually updated with study materials, meeting dates, and opportunities for input – please stay tuned!
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Explore the Project Area
The interactive Project Webmap allows users to explore the project corridor in greater detail by turning on and off various data layers that are informing the study:
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