Changes
On July 20, 2021 at 3:22:37 PM UTC, Dario Domingo:
-
Updated description of LUSzoning: Land-use simulations integrating zoning regulations in Spanish functional urban areas from
Table of Content: 1. General context of the data set "LUSzoning”; 2. Background and aims of the study using the data set LUSzoning; 3. The data set LUSzoning. ##1. __General context of the data set "LUSzoning".__ The data set "LUSzoning" stands for Land-use simulations integrating zoning regulations in Spanish functional urban areas. The data set has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2021. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, digital zoning plans) into quantitative land-change modelling approaches at the urban regional level. ##2. __Background and aims of the study using the data set “LUSzoning”.__ As part of the CONCUR project, a specific task was to integrate planning spatial policies in land-change modelling. Planning can be implemented in modelling using either hard or gradual restrictions. Different studies have addressed the inclusion of spatial planning policies in land-use change modelling. However, the integration of zoning constraints is generally established as hard or Boolean-based restrictions (e.g., whether urban development is allowed or not), while not accounting for the spatial heterogeneity or gradual characteristics within planning zones (e.g., whether planning regulations allow low, medium or high urban density), though these could improve real patterns simulations in urban areas. We assume Spanish General Zoning plans were suitable to explore the integration of planning into land-change modelling as soft constrains because they define land-use intensities in the buildable zoning areas. In light of the above considerations, the overall aim of the study was to model urban land-use changes using a multi-scenario approach that integrates digitized zoning plans for the Functional Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The following specific objectives were addressed: i) to analyse the role of planning by defining three future scenarios that integrate digitized zoning plans and one scenario that assumes almost no planning intervention; ii) to introduce zoning constraints that reflect different degrees of urban densities; iii) to generate a transferable spatially-explicit modelling framework to integrate planning into land-use change simulations. Four future land-use demands scenarios were defined for the FUAs. Storylines were created considering probable development scenarios related to zoning plans, current Spanish legislation and sustainability goals defined along two axes: a high market-oriented vs. high planning-intervention axis, and an axis of short-term economic growth vs. long-term sustainable growth. The sustainable development scenario (S1) is characterized by low gross floor area (GFA) growth that is limited to areas that are currently under development according to zoning plans. The business-as-usual scenario (S2) is characterized by medium GFA growth in the range of on-going trends. The strong development scenario (S3) is characterized by high GFA growth rates. Growth is restricted to buildable areas without urbanization project designated in zoning plans. The unrestricted development scenario (S4) prioritizes a high degree of market liberalization characterized by high GFA growth that surpasses population demands. S4 follows a rapid economic growth pattern with almost no planning intervention. ##3. __The data set “LUSzoning”.__ The dataset includes 16 .asc raster layers providing the simulated land-uses under four defined scenarios for Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) for 2030. The simulated raster layers were created using CLUMondo simulation framework and have a spatial resolution of 30m. The .asc layers name include the name of the FUA and scenario number. For example, the output from simulating the urban growth for the city of Zaragoza under Scenario 2 is named “Zaragoza_S2.tif”. Furthermore, a .txt file named “Legend.txt” includes the numeric value of the land-use and the category of land-use that represents to interpret the .asc raster layers. The name of the land-use classes is a reclassification of the Urban Atlas 2012 land-use classes within the four Spanish FUAs analyzed.
toTable of Content: 1. General context of the data set "LUSzoning”; 2. Background and aims of the study using the data set LUSzoning; 3. The data set LUSzoning. 1. __General context of the data set "LUSzoning".__ The data set "LUSzoning" stands for Land-use simulations integrating zoning regulations in Spanish functional urban areas. The data set has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2021. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, digital zoning plans) into quantitative land-change modelling approaches at the urban regional level. 2. __Background and aims of the study using the data set “LUSzoning”.__ As part of the CONCUR project, a specific task was to integrate planning spatial policies in land-change modelling. Planning can be implemented in modelling using either hard or gradual restrictions. Different studies have addressed the inclusion of spatial planning policies in land-use change modelling. However, the integration of zoning constraints is generally established as hard or Boolean-based restrictions (e.g., whether urban development is allowed or not), while not accounting for the spatial heterogeneity or gradual characteristics within planning zones (e.g., whether planning regulations allow low, medium or high urban density), though these could improve real patterns simulations in urban areas. We assume Spanish General Zoning plans were suitable to explore the integration of planning into land-change modelling as soft constrains because they define land-use intensities in the buildable zoning areas. In light of the above considerations, the overall aim of the study was to model urban land-use changes using a multi-scenario approach that integrates digitized zoning plans for the Functional Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The following specific objectives were addressed: i) to analyse the role of planning by defining three future scenarios that integrate digitized zoning plans and one scenario that assumes almost no planning intervention; ii) to introduce zoning constraints that reflect different degrees of urban densities; iii) to generate a transferable spatially-explicit modelling framework to integrate planning into land-use change simulations. Four future land-use demands scenarios were defined for the FUAs. Storylines were created considering probable development scenarios related to zoning plans, current Spanish legislation and sustainability goals defined along two axes: a high market-oriented vs. high planning-intervention axis, and an axis of short-term economic growth vs. long-term sustainable growth. The sustainable development scenario (S1) is characterized by low gross floor area (GFA) growth that is limited to areas that are currently under development according to zoning plans. The business-as-usual scenario (S2) is characterized by medium GFA growth in the range of on-going trends. The strong development scenario (S3) is characterized by high GFA growth rates. Growth is restricted to buildable areas without urbanization project designated in zoning plans. The unrestricted development scenario (S4) prioritizes a high degree of market liberalization characterized by high GFA growth that surpasses population demands. S4 follows a rapid economic growth pattern with almost no planning intervention. 3. __The data set “LUSzoning”.__ The dataset includes 16 .asc raster layers providing the simulated land-uses under four defined scenarios for Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) for 2030. The simulated raster layers were created using CLUMondo simulation framework and have a spatial resolution of 30m. The .asc layers name include the name of the FUA and scenario number. For example, the output from simulating the urban growth for the city of Zaragoza under Scenario 2 is named “Zaragoza_S2.tif”. Furthermore, a .txt file named “Legend.txt” includes the numeric value of the land-use and the category of land-use that represents to interpret the .asc raster layers. The name of the land-use classes is a reclassification of the Urban Atlas 2012 land-use classes within the four Spanish FUAs analyzed.
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n | 35 | "metadata_modified": "2021-07-20T15:20:25.289672", | n | 35 | "metadata_modified": "2021-07-20T15:22:37.027348", |
36 | "name": "luszoning", | 36 | "name": "luszoning", | ||
37 | "notes": "Table of Content: 1. General context of the data set | 37 | "notes": "Table of Content: 1. General context of the data set | ||
38 | \"LUSzoning\u201d; 2. Background and aims of the study using the data | 38 | \"LUSzoning\u201d; 2. Background and aims of the study using the data | ||
n | 39 | set LUSzoning; 3. The data set LUSzoning.\r\n##1.\t __General context | n | 39 | set LUSzoning; 3. The data set LUSzoning.\r\n1. __General context of |
40 | of the data set \"LUSzoning\".__ The data set \"LUSzoning\" stands for | 40 | the data set \"LUSzoning\".__ The data set \"LUSzoning\" stands for | ||
41 | Land-use simulations integrating zoning regulations in Spanish | 41 | Land-use simulations integrating zoning regulations in Spanish | ||
42 | functional urban areas. The data set has been generated as part of the | 42 | functional urban areas. The data set has been generated as part of the | ||
43 | CONCUR research project (https://www.wsl.ch/en/projects/concur.html) | 43 | CONCUR research project (https://www.wsl.ch/en/projects/concur.html) | ||
44 | led by Dr. Anna M. Hersperger and funded by the Swiss National Science | 44 | led by Dr. Anna M. Hersperger and funded by the Swiss National Science | ||
45 | Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the | 45 | Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the | ||
46 | period 2016-2021. The CONCUR research project is interdisciplinary and | 46 | period 2016-2021. The CONCUR research project is interdisciplinary and | ||
47 | aims to develop a scientific basis for adequately integrating spatial | 47 | aims to develop a scientific basis for adequately integrating spatial | ||
48 | policies (in this case, digital zoning plans) into quantitative | 48 | policies (in this case, digital zoning plans) into quantitative | ||
49 | land-change modelling approaches at the urban regional level. | 49 | land-change modelling approaches at the urban regional level. | ||
n | 50 | \r\n##2.\t__Background and aims of the study using the data set | n | 50 | \r\n2.\t__Background and aims of the study using the data set |
51 | \u201cLUSzoning\u201d.__ As part of the CONCUR project, a specific | 51 | \u201cLUSzoning\u201d.__ As part of the CONCUR project, a specific | ||
52 | task was to integrate planning spatial policies in land-change | 52 | task was to integrate planning spatial policies in land-change | ||
53 | modelling. Planning can be implemented in modelling using either hard | 53 | modelling. Planning can be implemented in modelling using either hard | ||
54 | or gradual restrictions. Different studies have addressed the | 54 | or gradual restrictions. Different studies have addressed the | ||
55 | inclusion of spatial planning policies in land-use change modelling. | 55 | inclusion of spatial planning policies in land-use change modelling. | ||
56 | However, the integration of zoning constraints is generally | 56 | However, the integration of zoning constraints is generally | ||
57 | established as hard or Boolean-based restrictions (e.g., whether urban | 57 | established as hard or Boolean-based restrictions (e.g., whether urban | ||
58 | development is allowed or not), while not accounting for the spatial | 58 | development is allowed or not), while not accounting for the spatial | ||
59 | heterogeneity or gradual characteristics within planning zones (e.g., | 59 | heterogeneity or gradual characteristics within planning zones (e.g., | ||
60 | whether planning regulations allow low, medium or high urban density), | 60 | whether planning regulations allow low, medium or high urban density), | ||
61 | though these could improve real patterns simulations in urban areas. | 61 | though these could improve real patterns simulations in urban areas. | ||
62 | We assume Spanish General Zoning plans were suitable to explore the | 62 | We assume Spanish General Zoning plans were suitable to explore the | ||
63 | integration of planning into land-change modelling as soft constrains | 63 | integration of planning into land-change modelling as soft constrains | ||
64 | because they define land-use intensities in the buildable zoning | 64 | because they define land-use intensities in the buildable zoning | ||
65 | areas. In light of the above considerations, the overall aim of the | 65 | areas. In light of the above considerations, the overall aim of the | ||
66 | study was to model urban land-use changes using a multi-scenario | 66 | study was to model urban land-use changes using a multi-scenario | ||
67 | approach that integrates digitized zoning plans for the Functional | 67 | approach that integrates digitized zoning plans for the Functional | ||
68 | Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The | 68 | Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The | ||
69 | following specific objectives were addressed: i) to analyse the role | 69 | following specific objectives were addressed: i) to analyse the role | ||
70 | of planning by defining three future scenarios that integrate | 70 | of planning by defining three future scenarios that integrate | ||
71 | digitized zoning plans and one scenario that assumes almost no | 71 | digitized zoning plans and one scenario that assumes almost no | ||
72 | planning intervention; ii) to introduce zoning constraints that | 72 | planning intervention; ii) to introduce zoning constraints that | ||
73 | reflect different degrees of urban densities; iii) to generate a | 73 | reflect different degrees of urban densities; iii) to generate a | ||
74 | transferable spatially-explicit modelling framework to integrate | 74 | transferable spatially-explicit modelling framework to integrate | ||
75 | planning into land-use change simulations. \r\nFour future land-use | 75 | planning into land-use change simulations. \r\nFour future land-use | ||
76 | demands scenarios were defined for the FUAs. Storylines were created | 76 | demands scenarios were defined for the FUAs. Storylines were created | ||
77 | considering probable development scenarios related to zoning plans, | 77 | considering probable development scenarios related to zoning plans, | ||
78 | current Spanish legislation and sustainability goals defined along two | 78 | current Spanish legislation and sustainability goals defined along two | ||
79 | axes: a high market-oriented vs. high planning-intervention axis, and | 79 | axes: a high market-oriented vs. high planning-intervention axis, and | ||
80 | an axis of short-term economic growth vs. long-term sustainable | 80 | an axis of short-term economic growth vs. long-term sustainable | ||
81 | growth. The sustainable development scenario (S1) is characterized by | 81 | growth. The sustainable development scenario (S1) is characterized by | ||
82 | low gross floor area (GFA) growth that is limited to areas that are | 82 | low gross floor area (GFA) growth that is limited to areas that are | ||
83 | currently under development according to zoning plans. The | 83 | currently under development according to zoning plans. The | ||
84 | business-as-usual scenario (S2) is characterized by medium GFA growth | 84 | business-as-usual scenario (S2) is characterized by medium GFA growth | ||
85 | in the range of on-going trends. The strong development scenario (S3) | 85 | in the range of on-going trends. The strong development scenario (S3) | ||
86 | is characterized by high GFA growth rates. Growth is restricted to | 86 | is characterized by high GFA growth rates. Growth is restricted to | ||
87 | buildable areas without urbanization project designated in zoning | 87 | buildable areas without urbanization project designated in zoning | ||
88 | plans. The unrestricted development scenario (S4) prioritizes a high | 88 | plans. The unrestricted development scenario (S4) prioritizes a high | ||
89 | degree of market liberalization characterized by high GFA growth that | 89 | degree of market liberalization characterized by high GFA growth that | ||
90 | surpasses population demands. S4 follows a rapid economic growth | 90 | surpasses population demands. S4 follows a rapid economic growth | ||
t | 91 | pattern with almost no planning intervention.\r\n##3.\t __The data set | t | 91 | pattern with almost no planning intervention.\r\n3.\t __The data set |
92 | \u201cLUSzoning\u201d.__ The dataset includes 16 .asc raster layers | 92 | \u201cLUSzoning\u201d.__ The dataset includes 16 .asc raster layers | ||
93 | providing the simulated land-uses under four defined scenarios for | 93 | providing the simulated land-uses under four defined scenarios for | ||
94 | Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) | 94 | Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) | ||
95 | for 2030. The simulated raster layers were created using CLUMondo | 95 | for 2030. The simulated raster layers were created using CLUMondo | ||
96 | simulation framework and have a spatial resolution of 30m. The .asc | 96 | simulation framework and have a spatial resolution of 30m. The .asc | ||
97 | layers name include the name of the FUA and scenario number. For | 97 | layers name include the name of the FUA and scenario number. For | ||
98 | example, the output from simulating the urban growth for the city of | 98 | example, the output from simulating the urban growth for the city of | ||
99 | Zaragoza under Scenario 2 is named \u201cZaragoza_S2.tif\u201d. | 99 | Zaragoza under Scenario 2 is named \u201cZaragoza_S2.tif\u201d. | ||
100 | Furthermore, a .txt file named \u201cLegend.txt\u201d includes the | 100 | Furthermore, a .txt file named \u201cLegend.txt\u201d includes the | ||
101 | numeric value of the land-use and the category of land-use that | 101 | numeric value of the land-use and the category of land-use that | ||
102 | represents to interpret the .asc raster layers. The name of the | 102 | represents to interpret the .asc raster layers. The name of the | ||
103 | land-use classes is a reclassification of the Urban Atlas 2012 | 103 | land-use classes is a reclassification of the Urban Atlas 2012 | ||
104 | land-use classes within the four Spanish FUAs analyzed.\r\n", | 104 | land-use classes within the four Spanish FUAs analyzed.\r\n", | ||
105 | "num_resources": 19, | 105 | "num_resources": 19, | ||
106 | "num_tags": 5, | 106 | "num_tags": 5, | ||
107 | "organization": { | 107 | "organization": { | ||
108 | "approval_status": "approved", | 108 | "approval_status": "approved", | ||
109 | "created": "2019-01-16T10:05:56.219606", | 109 | "created": "2019-01-16T10:05:56.219606", | ||
110 | "description": "The land-use systems group studies landscape | 110 | "description": "The land-use systems group studies landscape | ||
111 | patterns and processes and their changes over time. We focus on | 111 | patterns and processes and their changes over time. We focus on | ||
112 | cultural landscapes and their multifunctionality while conducting | 112 | cultural landscapes and their multifunctionality while conducting | ||
113 | research in the following topics:\r\n\r\n- Development of models for | 113 | research in the following topics:\r\n\r\n- Development of models for | ||
114 | simulating future landscape dynamics and for estimating the resulting | 114 | simulating future landscape dynamics and for estimating the resulting | ||
115 | landscape services;\r\n- Application and further development of | 115 | landscape services;\r\n- Application and further development of | ||
116 | landscape genetic methods and theories;\r\n- Analysis of historical | 116 | landscape genetic methods and theories;\r\n- Analysis of historical | ||
117 | changes in ecosystems and landscapes (focus on the past 100 to 250 | 117 | changes in ecosystems and landscapes (focus on the past 100 to 250 | ||
118 | years);\r\n- Analysis of ecological implications of landscape and | 118 | years);\r\n- Analysis of ecological implications of landscape and | ||
119 | ecosystem changes in the context of the field of historical | 119 | ecosystem changes in the context of the field of historical | ||
120 | ecology;\r\n- Analysis of actors, driving forces, and land change and | 120 | ecology;\r\n- Analysis of actors, driving forces, and land change and | ||
121 | their interaction to understand the causes of landscape change\r\n- | 121 | their interaction to understand the causes of landscape change\r\n- | ||
122 | Contributing to the further development of landscape planning, based, | 122 | Contributing to the further development of landscape planning, based, | ||
123 | for example, on conflict analysis and the evaluation of planning | 123 | for example, on conflict analysis and the evaluation of planning | ||
124 | instruments. \r\n\r\nThe landscape ecology group combines methods and | 124 | instruments. \r\n\r\nThe landscape ecology group combines methods and | ||
125 | theories from natural sciences and social sciences on spatial scales | 125 | theories from natural sciences and social sciences on spatial scales | ||
126 | from single ecosystems to continents. We are equally committed to | 126 | from single ecosystems to continents. We are equally committed to | ||
127 | theory development and innovative applications.", | 127 | theory development and innovative applications.", | ||
128 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 128 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
129 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | 129 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | ||
130 | "is_organization": true, | 130 | "is_organization": true, | ||
131 | "name": "land-use-systems", | 131 | "name": "land-use-systems", | ||
132 | "state": "active", | 132 | "state": "active", | ||
133 | "title": "Land-use systems", | 133 | "title": "Land-use systems", | ||
134 | "type": "organization" | 134 | "type": "organization" | ||
135 | }, | 135 | }, | ||
136 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 136 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
137 | "private": false, | 137 | "private": false, | ||
138 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 138 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
139 | \"EnviDat\"}", | 139 | \"EnviDat\"}", | ||
140 | "publication_state": "", | 140 | "publication_state": "", | ||
141 | "related_datasets": | 141 | "related_datasets": | ||
142 | ata/large-scale-urban-development-projects-in-european-urban-regions", | 142 | ata/large-scale-urban-development-projects-in-european-urban-regions", | ||
143 | "related_publications": "Domingo, D., Palka, G., Hersperger, A.M. | 143 | "related_publications": "Domingo, D., Palka, G., Hersperger, A.M. | ||
144 | 2021. Effect of zoning plans on urban land-use change: A | 144 | 2021. Effect of zoning plans on urban land-use change: A | ||
145 | multi-scenario simulation for supporting sustainable urban growth. | 145 | multi-scenario simulation for supporting sustainable urban growth. | ||
146 | Sustainable Cities and Society, 69, 2021, 102833, | 146 | Sustainable Cities and Society, 69, 2021, 102833, | ||
147 | https://doi.org/10.1016/j.scs.2021.102833. ", | 147 | https://doi.org/10.1016/j.scs.2021.102833. ", | ||
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151 | "resource_type_general": "datapaper", | 151 | "resource_type_general": "datapaper", | ||
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694 | "state": "active", | 694 | "state": "active", | ||
695 | "vocabulary_id": null | 695 | "vocabulary_id": null | ||
696 | }, | 696 | }, | ||
697 | { | 697 | { | ||
698 | "display_name": "LAND USE CHANGE", | 698 | "display_name": "LAND USE CHANGE", | ||
699 | "id": "81b567b8-cb93-4510-b11a-ebb0d4143af7", | 699 | "id": "81b567b8-cb93-4510-b11a-ebb0d4143af7", | ||
700 | "name": "LAND USE CHANGE", | 700 | "name": "LAND USE CHANGE", | ||
701 | "state": "active", | 701 | "state": "active", | ||
702 | "vocabulary_id": null | 702 | "vocabulary_id": null | ||
703 | }, | 703 | }, | ||
704 | { | 704 | { | ||
705 | "display_name": "LAND USE SIMULATIONS", | 705 | "display_name": "LAND USE SIMULATIONS", | ||
706 | "id": "537a4e77-fa58-4831-bbb2-a5548d89cd55", | 706 | "id": "537a4e77-fa58-4831-bbb2-a5548d89cd55", | ||
707 | "name": "LAND USE SIMULATIONS", | 707 | "name": "LAND USE SIMULATIONS", | ||
708 | "state": "active", | 708 | "state": "active", | ||
709 | "vocabulary_id": null | 709 | "vocabulary_id": null | ||
710 | }, | 710 | }, | ||
711 | { | 711 | { | ||
712 | "display_name": "LAND USE TRANSFORMATIONS", | 712 | "display_name": "LAND USE TRANSFORMATIONS", | ||
713 | "id": "3cd8b3d9-81cb-4b2b-8d79-45fd1c302198", | 713 | "id": "3cd8b3d9-81cb-4b2b-8d79-45fd1c302198", | ||
714 | "name": "LAND USE TRANSFORMATIONS", | 714 | "name": "LAND USE TRANSFORMATIONS", | ||
715 | "state": "active", | 715 | "state": "active", | ||
716 | "vocabulary_id": null | 716 | "vocabulary_id": null | ||
717 | }, | 717 | }, | ||
718 | { | 718 | { | ||
719 | "display_name": "SPATIAL PLANNING", | 719 | "display_name": "SPATIAL PLANNING", | ||
720 | "id": "945f75bb-8697-4688-93db-e3ee2bd17f60", | 720 | "id": "945f75bb-8697-4688-93db-e3ee2bd17f60", | ||
721 | "name": "SPATIAL PLANNING", | 721 | "name": "SPATIAL PLANNING", | ||
722 | "state": "active", | 722 | "state": "active", | ||
723 | "vocabulary_id": null | 723 | "vocabulary_id": null | ||
724 | } | 724 | } | ||
725 | ], | 725 | ], | ||
726 | "title": "LUSzoning: Land-use simulations integrating zoning | 726 | "title": "LUSzoning: Land-use simulations integrating zoning | ||
727 | regulations in Spanish functional urban areas", | 727 | regulations in Spanish functional urban areas", | ||
728 | "type": "dataset", | 728 | "type": "dataset", | ||
729 | "url": null, | 729 | "url": null, | ||
730 | "version": "1.0" | 730 | "version": "1.0" | ||
731 | } | 731 | } |