In 2022 the Connecticut GIS Office, began collecting parcel and CAMA data from Councils of Governments (COGs). In previous years the information was gathered and packed in zip files for public use. In 2023 the GIS office created the first rendition of a statewide parcel layer from the years collection and published this data in the CT Geodata Portal. The state of Connecticut has been making strides to improve the parcel and CAMA data collection process as well as the parcel and CAMA data itself. This talk will dig into the challenges, findings and future of the Connecticut Parcel and CAMA collection.
This past spring, the City of Boston’s Analytics Team collaborated with the Boston Transportation Department (BTD) to determine where 100 new Bluebike stations (Boston’s bikeshare system) should be placed throughout the city, and why they should go in that location. This project is set to grow Boston’s bikeshare network by 40%- a major impact to the city to expand mobility options for residents.
The Analytics team worked together to apply data science methods and geospatial analysis to make station location recommendations, utilizing data such as job and population density, and ridership and station status. The Bluebikes data was translated into informative metrics such as station trip volumes, instances when stations were empty or full, and a pair of metrics- lost trips and lost returns- that highlighted areas of the city that are not able to meet the existing demand for starting a trip or ending a trip. The team used this data to identify locations with strong latent demand for bike share and to maximize the percentage of households in Boston within close proximity to a Bluebikes station.
In order to provide BTD with specific locations, the team utilized a geospatial suitability modeling approach, inputting dock, population, and job density data, and the new lost trip/return metrics into the model. The suitability modeling was done in two groupings- once for ‘expansion’ stations and one for ‘infill’ stations. The groups had differences in data inputs as well as how the data was weighted and transformed, due to different priorities for the purpose of that station placement. Once the weights and transforms were applied, the team selected the highest scoring locations (with a minimum buffer distance between existing and proposed stations). Currently, BTD is siting the Analytics Team’s proposed station expansion locations, with plans to begin installation within the next year.
In Vermont, development projects that require historic preservation consultation for federal and state undertakings often necessitate detailed field surveys of buildings and structures, accompanied by comprehensive map exhibits. VHB Preservation Planners consult for an array of clients including municipalities and state transportation agencies, tackling projects ranging broadly in scale from individual buildings to statewide surveys.
This presentation will showcase recent advancements in historic preservation GIS deliverables, emphasizing the use of ArcGIS Experience Builder, and exploring how mobile data collection tools such as ArcGIS Field Maps and Survey123 have improved field data collection in historic preservation. Notable projects involving large-scale field surveys, including the BUILD Grant Mitigation - Rail: Historic Bridge Mitigation Survey, the Town of Brandon Preservation Survey, and the Middlebury Village Historic District Survey and National Register Nomination Update, will be highlighted.
The presentation will demonstrate efficiencies achieved during field survey data collected using Field Maps and the benefits of automated reporting capabilities integrated with the Vermont Architectural Resource Inventory form adapted for Survey123. Additionally, the presentation will highlight the dynamic map deliverables made possible by Experience Builder, underscoring their value in presenting and managing historic preservation data.
