GIS data: A specified area in which the Inclusionary Housing Program is applicable. The program modifies the floor area ratio (FAR) and offers a bonus for developments that provide affordable housing.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Health Center Districts - by Department of City Planning.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Dataset containing points representing WalkNYC sign locations throughout New York City.

GIS data: Boundaries of State Senate Districts.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

The intersections with the highest number of pedestrian KSI (killed and severely injured) that cumulatively account for 15% of the borough’s total pedestrian KSI. Developed as part of the Borough Pedestrian Safety Action Plans.

For a complete list of Vision Zero maps, please follow this link

GIS data: Boundaries of Fire Divisions.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Enhanced Crossings are marked high-visibility crosswalks on calm streets with low vehicle volumes and a strong pedestrian desire to cross. Standard DOT toolbox treatments are used (ADA pedestrian ramps, pedestrian warning signs and high-visibility crosswalk markings) to improve the mobility and accessibility of pedestrians.

For a complete list of Vision Zero maps, please follow this link

2010 Census Blocks (water areas included) from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Cliquez ici Pour Accéder au Meilleure site de GÉOLOCALISATION https://hs-geek.com/fr/localiser/

Cliquez ici Pour Accéder au Meilleure site de GÉOLOCALISATION https://hs-geek.com/fr/localiser/

Vous voulez savoir comment géolocaliser un téléphone portable en seulement quelques minutes ? Vous êtes au bon endroit ! Dans ce guide complet de 2024, nous allons vous montrer les étapes faciles et rapides pour localiser un téléphone portable avec précision. Que vous ayez perdu votre téléphone ou que vous vouliez simplement savoir où se trouve un membre de votre famille, notre méthode vous aidera à obtenir les informations dont vous avez besoin. Plus besoin de stresser ou de perdre du temps à chercher votre téléphone égaré ! Grâce aux avancées technologiques, la géolocalisation d'un téléphone portable est maintenant plus accessible que jamais. Que vous utilisiez un iPhone ou un téléphone Android, notre guide vous fournira les instructions détaillées pour chaque système d'exploitation. N'attendez plus et découvrez dès maintenant comment géolocaliser un téléphone portable en quelques minutes seulement. Suivez notre guide facile à comprendre et retrouvez votre téléphone en un rien de temps.

Qu'est-ce que la géolocalisation d'un téléphone portable?
Les différentes méthodes de géolocalisation d'un téléphone portable
Les avantages de la géolocalisation d'un téléphone portable
Les applications et logiciels de géolocalisation de téléphone portable
Comment géolocaliser un téléphone portable gratuitement
Les risques et les limites de la géolocalisation de téléphone portable
Les mesures de sécurité à prendre lors de la géolocalisation d'un téléphone portable
Les lois et réglementations entourant la géolocalisation des téléphones portables
Les services de géolocalisation de téléphone portable professionnels
Conclusion: La géolocalisation des téléphones portables est un outil puissant mais doit être utilisée avec prudence.
Localiser un téléphone portable en quelques minutes : le guide complet 2024

Vous voulez savoir comment localiser un téléphone portable en seulement quelques minutes ? Vous êtes au bon endroit ! Dans ce guide complet de 2024, nous vous montrerons les étapes simples et rapides pour localiser un téléphone portable avec précision.

Que vous ayez perdu votre téléphone ou que vous vouliez simplement savoir où se trouve un membre de votre famille, notre méthode vous aidera à obtenir les informations dont vous avez besoin. Pas besoin de vous stresser ou de perdre du temps à chercher votre téléphone égaré !

Grâce aux progrès technologiques, la géolocalisation des téléphones portables est désormais plus accessible que jamais. Que vous utilisiez un iPhone ou un téléphone Android, notre guide vous fournira des instructions détaillées pour chaque système d'exploitation.

Alors n'attendez plus et découvrez comment localiser un téléphone portable en quelques minutes seulement. Suivez notre guide facile à comprendre et retrouvez votre téléphone en un rien de temps.

Qu'est-ce que la géolocalisation des téléphones portables ?
La géolocalisation des téléphones portables fait référence à la capacité de déterminer la position physique d'un téléphone mobile. Cette technologie utilise diverses méthodes, telles que le GPS, les antennes-relais et les réseaux Wi-Fi, pour suivre et localiser un téléphone à tout moment.

Grâce à la géolocalisation, il est possible de suivre les déplacements d'un téléphone portable, de localiser un appareil perdu ou volé, ou encore de connaître la position d'un proche en temps réel. Cette technologie est de plus en plus utilisée dans de nombreux domaines, notamment dans les applications de suivi, les services d'urgence et les applications de sécurité.

Cependant, l'utilisation de la géolocalisation des téléphones portables soulève également des questions importantes en matière de respect de la vie privée et de sécurité des données. Il est essentiel de bien comprendre les avantages et les limites de cette technologie, ain

DOT is partnering with Senior Centers across New York City to increase communication and obtain specific feedback from older New Yorkers about the challenges they face and potential street safety improvements.

For a complete list of Vision Zero maps, please follow this link

GIS data: Community Districts (Water areas included)

Community Districts are mandated by the city charter to review and monitor quality of life issues for New York City (NYC) neighborhoods. NYC is currently comprised of 59 community districts. The first byte is a borough code and the second and third bytes are the community district number. There are also 12 Joint Interest Areas (JIAs). The JIAs are major parks and airports and are not contained within any community district. This dataset is being provided by the Department of City Planning (DCP) for informational purposes only. DCP does not warranty the completeness, accuracy, content, or fitness for any particular purpose or use of the dataset, nor are any such warranties to be implied or inferred with respect to the dataset as furnished on the website. DCP and the City are not liable for any deficiencies in the completeness, accuracy, content, or fitness for any particular purpose or use the dataset, or applications utilizing the dataset, provided by any third party.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

This dataset was developed by Zerocycle on behalf of the City of Buffalo to analyze curbside recycling rates by neighborhood.

Atomic polygons serve as a set of basic building blocks for generating the polygons of many of the district types represented in the CSCL database. Feature classes such as election district, school district, census block, FDNY administrative company, and community district can be dissolved by combining the appropriate fields in atomic polygons.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Taxi fleets, for-hire vehicle bases, and industry associations have been welcoming TLC into their establishments to discuss Vision Zero and traffic safety. TLC staff use a presentation to guide this discussion, and at the end of the session drivers sign the TLC Safe Driver Pledge.

For a complete list of Vision Zero maps, please follow this link

Pursuant to the City's Legal Defense Trusts Law, found in Chapter 11 of Title 3 of the New York City Administrative Code, a public servant (or someone acting on behalf of a public servant) may set up a legal defense trust to raise funds to pay for certain legal bills and expenses connected with the public servant’s City employment. This dataset lists information about expenditures made by legal defense trusts in accordance with the City's Legal Defense Trusts Law. Specifically, it includes the names and addresses of each entity paid for expenses incurred by the legal defense trust; the amount and purpose of the expenses; and the date the expenses were incurred.

For more information about legal defense trusts and the laws that govern them, visit https://www.nyc.gov/site/coib/the-law/legal-defense-trusts-law.page.

This feature class is a spatial representation of the Sidewalk Cafe regulations in the New York City Zoning Resolution, Chapter 1, Article 4.”

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Street Team members trained the general public with Vision Zero hands-on safety exercises including safe walking and biking, car safety tips and an opportunity to get inside of large delivery trucks to experience their blind spots. Vision Zero promotional materials were handed out along with educational handouts.

For a complete list of Vision Zero maps, please follow this link

GIS data: Boundaries of City Council Districts (water areas included).

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

In Spring 2014, DOT hosted nine pedestrian safety workshops across the five boroughs aimed at gathering community feedback on areas in need of safety improvements. This feedback was used to shape the Borough Pedestrian Safety Action Plans, released in 2015.

For a complete list of Vision Zero maps, please follow this link

Monthly metrics containing average daily trips and amount of fares collected, active vehicles and drivers, and credit card usage. The information was tabulated from trip records submitted for all TLC industries.

Hands-on safety demonstrations are held in conjunction with local partners throughout New York City, bringing traffic safety education and assistance directly to the public. Events include car safety seat fittings, bicycle helmet fittings and giveaways, truck safety and car safety demonstrations, Vision Zero table seminars and DWI awareness events

For a complete list of Vision Zero maps, please follow this link

Note: To align with other long term care programs, as of January 15, 2022, the Department has retired the standalone Adult Care Facility (ACF) Directory located at https://health.data.ny.gov/Health/Adult-Care-Facility-Directory/wssx-idhx/data. ACF data is posted online at https://health.data.ny.gov/Health/Health-Facility-Certification-Information/2g9y-7kqm and https://health.data.ny.gov/Health/Health-Facility-General-Information/vn5v-hh5r. Each licensed facility’s operating certificate number is located at https://health.data.ny.gov/Health/Health-Facility-Certification-Information/2g9y-7kqm and its capacity located at https://health.data.ny.gov/Health/Health-Facility-General-Information/vn5v-hh5r. To retrieve both sets of data, a user must download both referenced datasets with the understanding that the common delineator is the Facility ID, a site-specific identification assigned to each licensed ACF. Downloaded data will contain all licensed ACFs, and can be filtered in a variety of ways at the user’s discretion. Questions may be directed to the New York State Department of Health via the “Contact Dataset Owner” box on each page.

The Nursing Home Weekly Bed Census: Last Submission data is the most current nursing home data available. Available bed and occupancy information is self-reported and is not audited by the Department of Health.

The Department of Health requires nursing homes to complete electronic filing of each facility's licensed nursing home beds and availability by bed category on a weekly basis. This dataset is refreshed monthly.

This dataset contains the location of operational Automatic Public Toilets