Mehmet ALKAN
Dr. Mehmet Alkanis an Professor in the Department ofGeomatics Yildiz Technical University, Turkey. Hefin-ished Ph.D. in March 2005. His PhD thesis topic is“Design and Develop Cadastral Temporal GIS”.Heisresearch interests are Database, Geographical Infor-mation Systems, National Spatial Data Infrastructure,EMunicipality, E-government and Cadastral Systems.He is currently works at Land Management Division ofthe Department of Geomatics at Yıldız Technical Uni-versity, Turkey.
Phone: +90213835295
Address: Yıldız Technical University Civil Engineering Faculty Geomatics Department, Istanbul / TURKEY
Phone: +90213835295
Address: Yıldız Technical University Civil Engineering Faculty Geomatics Department, Istanbul / TURKEY
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many activities from protection to construction and permit. Due
to its functions, spatial plan decisions play a key role in land
administration. Spatial planning information for integrated land
administration systems (LASs) should be associated with land
registration systems. The Land Administration Domain Model
(LADM) standard offers components to enable this structure.
Integrating spatial plan data with LASs will provide standardization
for plan data and assurance of plan decisions. Although the
spatial planning mission differs across various administrative
regions, planning activities produce land use decisions, albeit in
different ways. The study aims to establish the common points in
planning activities and design a joint spatial planning system data
model using various countries’ spatial planning systems and international
standardization studies. The spatial plans in the model
that has been proposed are depicted as a system, not merely by
the rights, restrictions, and responsibilities (RRRs) that they establish
on the land. The results point out that spatial planning systems
have some similarities but also some limitations to support
conceptual model design. Based on joint data and relationships,
the proposed spatial planning system data model can be adapted
for different country practices. The study’s results are expected to
support the LADM second version development studies.
among stakeholders arising from development. Administrations undertake Land Value Capture (LVC) to finance
infrastructure investments and implement urbanization policies by recapturing a portion (or all) of the increase
resulting from development. Through recurring and non-recurring instruments developed for this purpose,
support is provided to the urbanization burden in exchange for the value added by residents or developers. In
Türkiye, the efficiency of existing LVC instruments in capturing added value is subject to debate. This study
analyses political, economic, socio-cultural, and technological (PEST) factors to evaluate implications for
improving Türkiye’s LVC instruments from the perspective of their counterparts in European countries. The
selection of the countries examined was determined by the frequency of use of the relevant LVC instrument
compared to other instruments within the country. The study results suggest that restructuring Türkiye’s LVC
instruments based on the examined practices would reduce the financial burden of infrastructure and service
facilities on local administrations while potentially inducing changes in resident behaviour. Additionally, it indicates
the need for Turkish LVC instruments to be regulated regarding property valuation and technological
infrastructure development. The consistency of the potential outcomes of the practices considered in light of the
results and their alignment with sustainable development policies are discussed.
of urban development and land administration. While
land registration information is necessary for spatial planning
processes, it is also probable that changes in land
registration data occur in line with spatial plan decisions.
Development of the Land Administration Domain Model
(LADM) Edition II It also aimed to extend its existing conceptual
model with spatial plan data, considering the close
connection between the two systems. The study aims to
design a conceptual model for Turkey's spatial planning
system within the LADM Turkey country profile context.
This article researches the capability of the proposed conceptual
model for representing spatial planning data with
instance-level
diagrams and the implementation opportunities
of a technical model. To demonstrate the functionality
of the proposed model, the zoning status certificate,
which contains spatial plan and land registration data and
is provided to inform about the legal conditions before development,
is chosen as the mission. The results show that
the LADM Turkey country profile extended with spatial
planning system data can represent spatial plan data and
be implemented in a technical model to support land administration
applications.
planned urbanisation, environment-nature-culture protection, and safe agriculture. Land
Administration Systems (LASs) should also include spatial planning decisions as they play a
role in facilitating the implementation of land policies. In this study, the Turkish spatial planning
system’s role in the land administration is discussed. The paper presents the necessity of
designing and standardising the spatial planning system as data model. This data model
design includes not only spatial plan decisions but also documents that guide spatial planning
and land development decisions caused by planning. Therefore, this study aims to present a
standardised model of the Turkish spatial planning system and the land use rights, restrictions
and responsibilities established by spatial plans. Designing spatial planning system information
as a conceptual data model within the Land Administration Domain Model is expected to
support land administration system-based improvements.
facilities are insufficient to represent underground
assets' Rights, Restrictions, and Responsibilities
(RRRs) and their relationships with the cadastre. For this
reason, developing a 3D integrated data (underground and
above-ground)
model may be an approach to an effective
land management system. This research aims to develop
a creative data model by integrating Turkish National
Geographic Information System (TUCBS-AY
in Turkish)
with international standards (Land Administration Domain
Model (LADM) and CityGML) as a holistic approach. The
requirements determined for underground facilities using
TUCBS-AY
were used. Since the data produced in Turkey
were modeled according to the CityGML 2.0 version, the
CityGML 2.0 UtilityNetwork version was used in the study
to be compatible with the existing Turkish cadastral system.
While some classes in the model are generalized, they
are expanded using LADM's classes for legal rights and
part information. In addition, the CityGML classes have
been expanded within the model so that parcels, buildings,
and independent sections are represented separately, thus
providing the opportunity to represent the underground
utilities associated with them, their RRRs, and ownership
situations. Requirements for the proposed model were determined based on Turkey's cadastral system and underground
data. The main purpose is to manage the legal and
physical relations of underground and surface objects at
the city scale, compatible with the current Turkish cadastral
system, with a holistic approach. The proposed integrated
conceptual data model shows how legal rights and
ownership of underground structures can be logically represented
with a 3D data model.
technical criteria. Urbanization that takes place without taking into account these legal and technical bases lead
to the emergence of informal, risky and dysfunctional settlements. Over time, these settlements become
increasingly vulnerable due to their failure to meet social and technical requirements, making their sustainability
increasingly challenging, and inevitably becoming subjects of urban renewal activities. Google Earth Engine
(GEE) platform’s archive of satellite images provides temporal monitoring of urbanization on Earth for about 50
years and analysis of changes in the cloud environment. This study investigates whether the GEE platform can
use to detect the impact of the areas where settlement activities are carried out without a development plan in
the current urban transformation projects in Istanbul. Land use/cover maps classified with the Random Forest
algorithm correlate urbanization activities in urban renewal areas with the entry into force date of the spatial
plans that guide the settlement. The classification results evaluated in conjunction with statistical tests and
spatial plan decisions demonstrate that unplanned urbanization is a serious obstacle to the sustainability of
settlements. Additionally, the study results show the performance of the GEE platform in detecting the effects of
factors in the urbanization period. The GEE platform can serve as a facilitative tool for deriving lessons from
urbanization experiences to inform policymaking.