This layer contains data about Global Border Crossing Points used for humanitarian operations. It provides information related to the current status of the crossing point (open/closed/unknown), WFP usage of the point, related RB etc. The layer is updated as deemed necessary.
The situation inside Afghanistan deteriorated in 2021 and had significant consequences for the most vulnerable among the population. Iran and Pakistan, which are neighbours of Afghanistan, also host some 8.2 million registered Afghan refugees and other Afghans with different statuses. The majority of registered refugees fled Afghanistan over the years, including from as early as 1979.
UNHCR has expanded its border monitoring in Afghanistan to include unofficial crossing points to understand flows and frequency on Afghans departing via these points, assess to territory and “the right to seek asylum” as well as the barriers which hinder the movement of people who may need international protection. Interviews at unofficial crossing points were held with key informants such as local residents in border areas, drivers, hotel and restaurant owners or border officials in over 50 locations, through Kunduz, Jalalabad, Herat, Gardez, Mazar and Kandahar field locations. Key informants gave estimates of weekly flows and their composition. This monitoring activity found that the majority of movements to Iran (81%) happen via unofficial border crossings, while less than 18% of movements to Pakistan happen via unofficial border crossings.
This dataset is the anonymized version of the original data.
Country border crossing points. The boundaries and names included in this web service do not imply official endorsement or acceptance by the United Nations.
http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa
This layer contains information about Global Border Crossing Points used for humanitarian operations.
Global Border Crossing Points
The situation inside Afghanistan deteriorated in 2021 and had significant consequences for the most vulnerable among the population. Iran and Pakistan, which are neighbours of Afghanistan, also host some 8.2 million registered Afghan refugees and other Afghans with different statuses. The majority of registered refugees fled Afghanistan over the years, including from as early as 1979.
UNHCR has expanded its border monitoring in Afghanistan to include unofficial crossing points to understand flows and frequency on Afghans departing via these points, assess to territory and “the right to seek asylum” as well as the barriers which hinder the movement of people who may need international protection. Interviews at unofficial crossing points were held with key informants such as local residents in border areas, drivers, hotel and restaurant owners or border officials in over 50 locations, through Kunduz, Jalalabad, Herat, Gardez, Mazar and Kandahar field locations. Key informants gave estimates of weekly flows and their composition. This monitoring activity found that the majority of movements to Iran (84%) happen via unofficial border crossings, while less than 1% of movements to Pakistan happen via unofficial border crossings.
This dataset is the anonymized version of the original data.
Border crossing points from Afghanistan into Iran, Pakistan and Central Asia
Households
Asylum-seekers and other border crossers in 2022
Sample survey data [ssd]
Not Applicable
Face-to-face [f2f]
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data is about border crossing points in Kenya by road, air and water. It contains information on both official (formal) and informal border crossing points. A formal border crossing point is where there is an immigration office. Mostly the data is from Directorate of immigration and registration of persons.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset contains entry/exit crossing points along the "contact line" dividing Government-controlled area (GCA) and non-Government-controlled area (NGCA) with coordinates and operational status (operational, non-operational, partially operational, planned). Source: State Border Guard Service of Ukraine, https://dpsu.gov.ua/ua/perelik-kpvv/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Shape file for Sudan Border crossing points
List of border crossing points in operation, indicating the name of the crossing point, status, type, working regime and contact phone.
Additional information: Classification of border crossing points
State Border Crossing Rules
Crossing the Moldovan-Ukraine State Border
Crossing the Moldo-Roman State Border
This file presents, as of 10 June 2024, for Metropolitan France, all the crossing points belonging to the underground lines of the public electricity transmission network managed by RTE. An underground crossing point represents a ‘power junction’ (e.g.: junction between two cables). In addition to this dataset, for access to our mobility infrastructure data, you will find the open data map on our ArcGis Online system accessible on PC here or on the move by opening the map in ArcGIS Field Maps: INSPIRE TEN Network. This dataset is shared within the framework of Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). The INSPIRE Directive applies to digital spatial data held by public authorities and requires data to be made available in accordance with harmonised technical specifications. For further information on the INSPIRE Directive, write to: rte-inspire-infos@rte-france.com. The number of crossing points has been significantly reduced thanks to an evolution of the data model. The publication of this dataset does not exonerate the user from his regulatory obligation under the anti-damage decree (DT/DICT) in case of works. * * *
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The foot traffic strategy of the state capital Dresden (V1338/21) was adopted by the city council on 25 June 2022. The aim of this strategy is to promote foot traffic and increase its importance through high-quality foot traffic facilities and attractively designed public spaces, as well as to increase road safety for road users on foot. It includes, among other things, the technical concept for the establishment of new crossing points. Crossing points are intended to make crossing roads safer and easier. Depending on local conditions, possible crossing aids can be central islands, pedestrian crossings or light signalling systems (traffic lights). The measures of the concept are assigned to one of four priorities. In line with their prioritisation, the measures under Priority 1 to 3 are to be implemented gradually. Priority 4 measures were identified in the participatory process, but the city administration currently sees no need for action. Measures of the concept that have already been implemented are also presented.
Roads are ubiquitous infrastructures that have detrimental effects on wildlife and contribute to increased mortality and fragmentation of animal populations. Although several mitigation measures are available to reduce road impacts, their planning rarely considers the dynamic nature of the environment, which may reflect into temporal variation in habitat suitability and connectivity for animal species. Consequently, the effectiveness of such measures may fall short of expectations. By combining high-resolution satellite imagery and connectivity modelling, we propose a generalizable approach to identify the most probable crossing points across a barrier at different time snapshots. This information may be pivotal in planning mitigation measures that can take into account dynamic components. We collected occurrence data of three farmland-adapted anurans and high spatiotemporal definition Sentinel-2 multispectral images to build habitat suitability models that capture the relationship betw..., , # Modelling amphibian road crossing points in a dynamic environment
Dataset DOI: 10.5061/dryad.cz8w9gjg2
Reported data were the basis for Habitat Suitability Modelling and subsequent Connectivity Models.
Data includes the occurrence data of the three amphibian target species (Hyla intermedia, Pelophylax synkl. esculentus, Bufotes viridis), collected in 2021 and 2022. The values of the Sentinel-2 spectral bands we used as predictors are Copernicus Sentinel data [2025] and can be downloaded from the Copernicus Browser (https://browser.dataspace.copernicus.eu/).
Description:Â
Occurrence points of the three target species. Observations missing important information have already been removed from this dataset. Here you can find the data we used for all the modelling steps. They are the occurrence data of ...,
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License information was derived automatically
An exercise was undertaken by Department of Transport, Tourism and Sport, in collaboration with Department for Infrastructure, Northern Ireland, to map the border crossings on the public road network between the Republic of Ireland and Northern Ireland. The Zip File contains two datasets;
The datasets must be read in tandem for a complete picture of border crossings on the public road network.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
A dataset to show the traffic light crossing points in Leeds giving road name, postcode, easting and northing. The data consists of
https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/
Road/rail crossing. A point used at 1:250,000 scale where roads and railways intersect; this may take the form of a level crossing, or a bridge may separate the two.
Data Dictionary for rr_crossing_pnt: https://docs.topo.linz.govt.nz/data-dictionary/tdd-class-rr_crossing_pnt.html
This layer is a component of the Topo250 map series. The Topo250 map series provides topographic mapping for the New Zealand mainland and Chatham Islands, at 1:250,000 scale.
Further information on Topo250: http://www.linz.govt.nz/topography/topo-maps/topo250
Crossing points into Gaza Strip and from West Bank to Jordan.
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All level crossings in the Deutsche Bahn network. https://data.deutschebahn.com/dataset/geo-bahnuebergang
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
U.S. border crossing points of electric transmission lines. A crossing point represents one or more electric lines.
This layer contains data about Global Border Crossing Points used for humanitarian operations. It provides information related to the current status of the crossing point (open/closed/unknown), WFP usage of the point, related RB etc. The layer is updated as deemed necessary.