TY - JOUR
T1 - 100 Years of Land-Use and Land-Cover Data
T2 - What Has Been the Effect of Spatial Planning in Coastal Land-Use and Land-Cover Change?
AU - Faria de Deus, Raquel
AU - Tenedório, José António
AU - Pumain, Denise
AU - Rocha, Jorge
AU - Pereira, Margarida
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04647%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04647%2F2020/PT#
info:eu-repo/grantAgreement/FCT/DL 57%2F2016/DL 57%2F2016%2FCP1453%2FCT0105/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04004%2F2020/PT#
UIDB/04647/2020
UIDP/04647/2020
DL 57/2016/CP1453/CT0105
UIDB/04004/2020
PY - 2023/5
Y1 - 2023/5
N2 - The Sustainable Development Goals require us to rethink spatial planning policies’ effectiveness. This article proposes a reproducible method for assessing the effect of past planning practices and simulating future land-use and land-cover (LULC) changes with a Cellular Automata model. The originality of our approach is to systematically compare observed changes in LULC with the planning rules in force over almost a century of evolution. A quasi-exhaustive database was constructed at a very fine spatial resolution for the municipality of Portimão (Southern Portugal), including the location and changes of LULC categories, and the planning rules of the corresponding time period on nine dates between 1947 and 2018. The quantified measurement of the actual effect of planning rules enables us to identify other determinants of the evolution. Findings reveal that the policies established by the local government—which aimed to foster well-planned comprehensive urban areas—were not as effective as intended. The quantified discrepancies between planning recommendations and observed evolution help to simulate which LULC scenarios could be designed to reach the expected result in future planning policies. Our assessment method could be applied in other urban and tourist regions where land artificialization exerts strong pressure on the environment.
AB - The Sustainable Development Goals require us to rethink spatial planning policies’ effectiveness. This article proposes a reproducible method for assessing the effect of past planning practices and simulating future land-use and land-cover (LULC) changes with a Cellular Automata model. The originality of our approach is to systematically compare observed changes in LULC with the planning rules in force over almost a century of evolution. A quasi-exhaustive database was constructed at a very fine spatial resolution for the municipality of Portimão (Southern Portugal), including the location and changes of LULC categories, and the planning rules of the corresponding time period on nine dates between 1947 and 2018. The quantified measurement of the actual effect of planning rules enables us to identify other determinants of the evolution. Findings reveal that the policies established by the local government—which aimed to foster well-planned comprehensive urban areas—were not as effective as intended. The quantified discrepancies between planning recommendations and observed evolution help to simulate which LULC scenarios could be designed to reach the expected result in future planning policies. Our assessment method could be applied in other urban and tourist regions where land artificialization exerts strong pressure on the environment.
KW - Land-use and land-cover change
KW - Land-use and land-cover change model
KW - Land-use plans
KW - Municipal Master Plan
KW - Planning permits
KW - Sustainable development
KW - Urban Sprawl
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85159355059&doi=10.3390%2fsu15097636&origin=inward&txGid=5926815d27a9ea5a05be7aba97446e03
U2 - https://doi.org/10.3390/su15097636
DO - https://doi.org/10.3390/su15097636
M3 - Article
SN - 2071-1050
VL - 15
SP - 1
EP - 20
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 9
M1 - 7636
ER -