City of Boston street segments data from the Street Address Management (SAM) system. Updated nightly.

This dataset is from the City of Boston's Street Address Management (SAM) system, containing Boston addresses. Updated nightly and shared publicly.

This dataset provides information about the number of properties, residents, and average property values for Boston Lake Drive cross streets in Valley City, OH.

Description of data fields in the Boston street segment data

This dataset provides information about the number of properties, residents, and average property values for Boston Street cross streets in Paden City, WV.

This is a legacy dataset which contains detailed information on the timing and location of street sweeping service throughout the City. Daily street cleaning takes place April 1 to November 30 in most Boston neighborhoods (weather permitting), and over 400 curb miles of streets are maintained under the Daytime Street Sweeping Program.

Boston Main Street districts are a network of 20 Main Street Organizations that use a comprehensive revitalization approach to create, build, and sustain healthy commercial districts.

This dataset provides information about the number of properties, residents, and average property values for Boston Road cross streets in Valley City, OH.

This dataset provides information about the number of properties, residents, and average property values for Boston Avenue cross streets in Bessemer City, NC.

The Street Lighting Division of Public Works maintains 40,000 out of the City's 67,000 electronic streetlights, and oversees the contracting for the rest. It also takes care of 2,800 gas lights and 1,500 fire-alarm lights. This is a legacy dataset containing lattitude and longitude data for over 74,000 City streetlights.

This dataset provides information about the number of properties, residents, and average property values for Boston Avenue cross streets in Egg Harbor City, NJ.

This dataset is the resulting traffic volume data from a recent pilot of computer-vision sensors.

The following metrics were measured: -Volume counts of people, bikes, cars, trucks, and busses passing through pilot project areas -Volumes accounted for by mode and timestamped at up to 15-minute intervals -Desire lines and movement patterns accounted for by mode

The primary purpose of this pilot was to understand the impacts of temporary street-level changes that would be implemented to facilitate a safe re-opening in the context of Covid-19. A secondary objective of the project was to evaluate a privacy-oriented solution to data collection in the public realm.

Sensors were installed at three distinct locations: -In the Seaport district on a commercial street with bike lanes (Northern Avenue) -Downtown at a busy intersection next to the Boston Common (Tremont Street) -And in Jamaica Plain where the southwest corridor convenes with a blue bike station and T stop (Jackson Sq.)

Please complete this form to access the City of Boston Sandbox and access the data in API format: https://docs.google.com/forms/d/e/1FAIpQLScuEQEsmTToEMBRqvX7uhpCiWu165T4GciTCMEa2ylC2bT59w/viewform

City Of Boston Pwd Street Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Urban street tree inventory in the town of Boston College, Massachusetts from 2008 to 2010.

Traffic-related data collected by the Boston Transportation Department, as well as other City departments and State agencies. Various types of counts: Turning Movement Counts, Automated Traffic Recordings, Pedestrian Counts, Delay Studies, and Gap Studies.

~_Turning Movement Counts (TMC)_ present the number of motor vehicles, pedestrians, and cyclists passing through the particular intersection. Specific movements and crossings are recorded for all street approaches involved with the intersection. This data is used in traffic signal retiming programs and for signal requests. Counts are typically conducted for 2-, 4-, 11-, and 12-Hr periods.

~_Automated Traffic Recordings (ATR)_ record the volume of motor vehicles traveling along a particular road, measures of travel speeds, and approximations of the class of the vehicles (motorcycle, 2-axle, large box truck, bus, etc). This type of count is conducted only along a street link/corridor, to gather data between two intersections or points of interest. This data is used in travel studies, as well as to review concerns about street use, speeding, and capacity. Counts are typically conducted for 12- & 24-Hr periods.

~_Pedestrian Counts (PED)_ record the volume of individual persons crossing a given street, whether at an existing intersection or a mid-block crossing. This data is used to review concerns about crossing safety, as well as for access analysis for points of interest. Counts are typically conducted for 2-, 4-, 11-, and 12-Hr periods.

~_Delay Studies (DEL)_ measure the delay experienced by motor vehicles due to the effects of congestion. Counts are typically conducted for a 1-Hr period at a given intersection or point of intersecting vehicular traffic.

~_Gap Studies (GAP)_ record the number of gaps which are typically present between groups of vehicles traveling through an intersection or past a point on a street. This data is used to assess opportunities for pedestrians to cross the street and for analyses on vehicular “platooning”. Counts are typically conducted for a specific 1-Hr period at a single point of crossing.

Urban street tree inventory in Northeastern University (Boston), Massachusetts in 2018.

This dataset provides detailed environmental and tree-level data and metadata for over 850 samples collected from 91 trees across an urban-to-rural gradient in Massachusetts. The dataset captures key variables characterizing urban environmental gradients, including soil moisture, pH, temperature, and nitrogen availability. Tree-level attributes include species identification, diameter at breast height (DBH), and growth rate based on previous tree census data. Geographic coordinates and site-specific context (urban forest, rural forest, street tree, forest edge, forest interior) are included to enable spatial analyses. The microbial sequence data associated with this environmental metadata can be found in the NCBI SRA under BioProject accession number PRJNA1297772.

Stormwater runoff is a problem in the City of Boston due to the urbanization of the area. The goal of our project was to determine the technical and financial feasibility of installing green roofs on street-level surfaces in the City of Boston with the purpose of raising public awareness and encouraging a change in the public’s behavior with respect to stormwater runoff. We conducted interviews with representatives from similar projects in other cities and performed an observational study to determine the possibility of installing green roofs on bus stops for the purpose of raising public awareness. Our research led to a set of recommendations involving the technical, financial, informational, and visual aspects for the design of street-level green roofs on bus stops.