City-centre boundaries (Envie-de-Ville 2019)Périmètres des centres-villes (Envie-de-Ville 2019)
Périmètres des centres-villes (Envie-de-Ville 2019)City-centre boundaries (Envie-de-Ville 2019)
This dataset provides the geographic boundaries of city centres identified through the 2019 "Envie de ville" study, a partnership initiative to revitalise city centres within the Aix-Marseille-Provence Metropole. As part of this effort, urban planning agencies were commissioned to carry out territorial diagnostics, conducting cross-cutting analyses to delineate the relevant centre perimeters. The dataset is published by Métropole Aix-Marseille-Provence and is useful for urban planning, local economic development, and revitalisation studies concerning the metropolitan area's city centres.”Périmètres des centres-villes issus de l'étude "Envie de ville" (2019) Dans le cadre d'Envie de ville, démarche partenariale de revitalisation des centres-villes de la Métropole, les agences d'urbanisme ont été sollicitées pour réaliser un diagnostic territorial. En procédant à des analyses trans...
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Data schema (16 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | objectid | int | Internal record identifier.Internal record identifier. |
| 100% | nom_communeCommune name | text | Name of the municipality.Name of the municipality. |
| 100% | nom_comCommune centre-ville | text | Name of the commune or city-centre district.Name of the commune or city-centre district. |
| 100% | typologieTypologie code | text | Typology code assigned to the city-centre area.Typology code assigned to the city-centre area. |
| 100% | typologie_nomTypologie nom | text | Full name describing the city-centre typology.Full name describing the city-centre typology. |
| 100% | trame_urbTrame urbaine | text | Type of urban street layout or fabric.Type of urban street layout or fabric. |
| 100% | nom_donneeNom de la Donnée | text | Name of the dataset the record belongs to.Name of the dataset the record belongs to. |
| 100% | datemajDate de mise à jour de la donnée | datetime | Date the data was last updated.Date the data was last updated. |
| 100% | sourceSource de production | text | Organization(s) that produced the data.Organization(s) that produced the data. |
| 100% | ct_ampConseil de territoire | text | Metropolitan territorial council code.Metropolitan territorial council code. |
| — | codecommCode Commune DGFIP | text | DGFIP commune code.DGFIP commune code. |
| — | codeinseeCode Commune INSEE | text | INSEE commune code.INSEE commune code. |
| — | geo_shapeShape | geo_shape | Geographic boundary polygon of the city-centre area.Geographic boundary polygon of the city-centre area. |
| — | geo_point_2dCoordinates | geo_point_2d | Geographic coordinates of the area's centroid.Geographic coordinates of the area's centroid. |
| — | shape_areast_area(shape) | double | Surface area of the polygon shape.Surface area of the polygon shape. |
| — | shape_lengthst_perimeter(shape) | double | Perimeter length of the polygon shape.Perimeter length of the polygon shape. |
Schema captured from opendatasoft 3 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1ct_amp: CT1 · source: agAM, AUPA
{
"ct_amp": "CT1",
"source": "agAM, AUPA",
"datemaj": "2019-09-01T02:00:00+00:00",
"nom_com": "LA CIOTAT",
"codecomm": "131028",
"objectid": 92,
"codeinsee": "13028",
"geo_shape": "[large value omitted]",
"trame_urb": "Trame mixte",
"typologie": "TYPE 4",
"nom_donnee": "Périmètre des centres-villes issu de l'étude Envie de Ville",
"shape_area": 384410.9785394405,
"nom_commune": "La Ciotat",
"geo_point_2d": {
"lat": 43.174914843662705,
"lon": 5.606409591691767
},
"shape_length": 3768.3158798969043,
"typologie_nom": "Centre-ville de ville moyenne"
}Record 2ct_amp: CT3 · source: agAM, AUPA
{
"ct_amp": "CT3",
"source": "agAM, AUPA",
"datemaj": "2019-09-01T02:00:00+00:00",
"nom_com": "ALLEINS",
"codecomm": "132003",
"objectid": 25,
"codeinsee": "13003",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.1632419998988155,
43.70488582743017
],
[
5.163013415646593,
43.704824816626775
],
[
5.163247738447758,
43.70431015952643
],
[
5.162899080382111,
43.70427385575824
],
[
5.162955037595661,
43.70418154139295
],
[
5.162633641179104,
43.70407677927352
],
[
5.162702512361116,
43.703944011430735
],
[
5.162559031120734,
43.70390252125488
],
[
5.162998081514251,
43.70327394342825
],
[
5.163184606732043,
43.70336729695421
],
[
5.1633826110840655,
43.703174366244866
],
[
5.163551917438921,
43.7032137826623
],
[
5.16358922284948,
43.703115241859344
],
[
5.163379740685286,
43.70291090083909
],
[
5.163528961226161,
43.70271174456914
],
[
5.163886492832115,
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],
[
5.162918423188516,
43.70208210531983
],
[
5.162229407936206,
43.701979506629364
],
[
5.161963545433694,
43.70228303792227
],
[
5.161928307272434,
43.70236338923532
],
[
5.161967889679,
43.702813397809805
],
[
5.161956411829741,
43.70295654029817
],
[
5.160604823269531,
43.703000105789734
],
[
5.160603222244969,
43.70290880119042
],
[
5.159489038368758,
43.7029480969588
],
[
5.159528380954497,
43.7036329728982
],
[
5.160114119383399,
43.70371996415395
],
[
5.160401080622928,
43.70385688237845
],
[
5.160344868818469,
43.70400287197382
],
[
5.160129550378016,
43.70395083436711
],
[
5.159860919522828,
43.703908441665966
],
[
5.159626418840987,
43.70388446156681
],
[
5.159419979893875,
43.703891197529735
],
[
5.159328642543193,
43.703918669195225
],
[
5.159395574935123,
43.70397412262019
],
[
5.159563344060691,
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],
[
5.1597293274563345,
43.70408007534542
],
[
5.159833170400468,
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],
[
5.159947292782489,
43.704198095964706
],
[
5.160022291606042,
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],
[
5.159976376943551,
43.70445848512716
],
[
5.1600911623767995,
43.70484848687617
],
[
5.160573256953441,
43.70493976324626
],
[
5.161583362455447,
43.70491486974201
],
[
5.161876063045406,
43.70505593330376
],
[
5.162277809139669,
43.70532976206818
],
[
5.162713990352358,
43.70544178218617
],
[
5.16324630356591,
43.705273751068844
],
[
5.163302126765559,
43.705172674488125
],
[
5.163220476683983,
43.70508808781334
],
[
5.1632419998988155,
43.70488582743017
]
]
]
},
"properties": {}
},
"trame_urb": "Trame sinueuse",
"typologie": "TYPE 2",
"nom_donnee": "Périmètre des centres-villes issu de l'étude Envie de Ville",
"shape_area": 74186.89023639144,
"nom_commune": "Alleins",
"geo_point_2d": {
"lat": 43.703735367505224,
"lon": 5.161727757811733
},
"shape_length": 1611.9419269980363,
"typologie_nom": "Centre de village ou noyau villageois marseillais (offre répondant aux besoins de proximité)"
}Record 3ct_amp: CT2 · source: agAM, AUPA
{
"ct_amp": "CT2",
"source": "agAM, AUPA",
"datemaj": "2019-09-01T02:00:00+00:00",
"nom_com": "VITROLLES - CENTRE URBAIN",
"codecomm": "132117",
"objectid": 55,
"codeinsee": "13117",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.250412379910907,
43.45085329516053
],
[
5.251398596225994,
43.44961430406503
],
[
5.251048621918658,
43.44943430249485
],
[
5.251734699242515,
43.448173529683636
],
[
5.252650613432628,
43.44709746101474
],
[
5.251964030657901,
43.446772827104496
],
[
5.252471719927283,
43.4461419290749
],
[
5.253495899152358,
43.44590343879965
],
[
5.2544011377068776,
43.444843728478276
],
[
5.257301744777376,
43.440457855974486
],
[
5.255364611685823,
43.439665688449615
],
[
5.253372716954575,
43.441589659048546
],
[
5.252093807574726,
43.443624772312724
],
[
5.250938940603244,
43.445375439436006
],
[
5.249329635268955,
43.446193955408155
],
[
5.247977796816715,
43.44698029972567
],
[
5.245767756963085,
43.45003106929135
],
[
5.246605746918518,
43.45027318554887
],
[
5.247252175245333,
43.44975405949575
],
[
5.250412379910907,
43.45085329516053
]
]
]
},
"properties": {}
},
"trame_urb": "Trame orthogonale",
"typologie": "TYPE 3",
"nom_donnee": "Périmètre des centres-villes issu de l'étude Envie de Ville",
"shape_area": 338675.1957333005,
"nom_commune": "Vitrolles",
"geo_point_2d": {
"lat": 43.44575434968874,
"lon": 5.2516872485826465
},
"shape_length": 3427.6767410294306,
"typologie_nom": "Centre avec des fonctions diversifiées et attractives pour les habitants des communes situées à proximité"
}Record 4ct_amp: CT2 · source: agAM, AUPA
{
"ct_amp": "CT2",
"source": "agAM, AUPA",
"datemaj": "2019-09-01T02:00:00+00:00",
"nom_com": "LES PENNES-MIRABEAU",
"codecomm": "132071",
"objectid": 56,
"codeinsee": "13071",
"geo_shape": "[large value omitted]",
"trame_urb": "Village rue",
"typologie": "TYPE 1",
"nom_donnee": "Périmètre des centres-villes issu de l'étude Envie de Ville",
"shape_area": 69570.34677831682,
"nom_commune": "Les Pennes-Mirabeau",
"geo_point_2d": {
"lat": 43.41003893787007,
"lon": 5.31018357792746
},
"shape_length": 2657.656051691541,
"typologie_nom": "Centre de village ou noyau villageois d’une commune polycentrique (faible diversité des fonctions)"
}Record 5ct_amp: CT1 · source: agAM, AUPA
{
"ct_amp": "CT1",
"source": "agAM, AUPA",
"datemaj": "2019-09-01T02:00:00+00:00",
"nom_com": "PLAN-DE-CUQUES",
"codecomm": "131075",
"objectid": 80,
"codeinsee": "13075",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.463496588790546,
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],
[
5.464608117018422,
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],
[
5.465021914444262,
43.34797159174777
],
[
5.465727836153939,
43.347444099289326
],
[
5.465450297434059,
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],
[
5.465949112834857,
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],
[
5.464880708430987,
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],
[
5.464146551721689,
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],
[
5.463609805683263,
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],
[
5.462233284494857,
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],
[
5.461254260121835,
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[
5.460813278112743,
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[
5.460298296511649,
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5.459995768548493,
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[
5.4614548709012425,
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5.460786684790076,
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[
5.462191235462552,
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[
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[
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],
[
5.463496588790546,
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]
]
]
},
"properties": {}
},
"trame_urb": "Trame mixte",
"typologie": "TYPE 3",
"nom_donnee": "Périmètre des centres-villes issu de l'étude Envie de Ville",
"shape_area": 131433.69359066567,
"nom_commune": "Plan-de-Cuques",
"geo_point_2d": {
"lat": 43.346189407734656,
"lon": 5.463158230802825
},
"shape_length": 1723.7155834435405,
"typologie_nom": "Centre avec des fonctions diversifiées et attractives pour les habitants des communes situées à proximité"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/centres-villes-etude-envie-de-ville
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/centres-villes-etude-envie-de-ville/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
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Source: opendatasoft
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