The description of parcel geometry and its application in terms of land consolidation planning

Kwinta, Andrzej; Gniadek, Jacek

doi:10.1016/j.compag.2017.03.006

Cited by 37 publications

(13 citation statements)

References 11 publications

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“…However, most of single effect evaluation usually include the comprehensive effect evaluation such as economy, society and environment [66,85]. Overseas, a few scholars have estimated the effects of land consolidation (projects) including economic, social and environmental impacts [86][87][88][89] with the help of econometric models and methods. In the present study, an empirical analysis at the micro-scale based on land use patch data rather than land ledger data was conducted.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Comprehensive Value Discovery of Land Consolidation Projects: An Empirical Analysis of Shanghai, China

Shi

Cao

Fu³

et al. 2018

Sustainability

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The purpose of land consolidation is to promote moderately sized agricultural operations, intensive land use, concentrated population living and agglomerated industrial development. Previous research has primarily been macro-or mesoscale studies based on land ledger data, and analyzed only the effect of land consolidation on landscape ecological changes, only the resource and economic effects, or social effects or environmental effects of land consolidation. Aimed at addressing these shortcomings, an empirical analysis on the micro-scale based on land use patch data rather than land ledger data was conducted. Then, comprehensive research on land consolidation projects by integrating landscape pattern analysis with production, living, and ecological benefit assessments was performed. Furthermore, the relationship between land consolidation projects and the "Three Concentrations" policy was considered. The results show that: (1) land consolidation has directly or indirectly improved landscape ecological patterns of the project area; and (2) land consolidation has clearly improved the balanced distribution of cultivated land and the concentrated distribution of construction land in the project area. These changes not only improve the living conditions of farmers but also meet the construction requirements of the "Three Concentrations" in the Shanghai metropolitan suburbs.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Comprehensive Value Discovery of Land Consolidation Projects: An Empirical Analysis of Shanghai, China

Shi

Cao

Fu³

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…Land consolidation (LC) as a tool for land management plays a vital role in sustainable rural development and the agricultural economy (Stręk & Noga, 2019; Tongur, Ertunc, & Uyan, 2020). The starting point for agricultural LC operations could be considered to be the improper geometric shape of the fields and irregular parcels (Kwinta & Gniadek, 2017). In LC projects, the amalgamation of fragmented parcels and redistributing processes often leads to a shift of land ownership towards large holdings (Sonnenberg, 2002).…”

Section: Introductionmentioning

confidence: 99%

Reallocation model in land consolidation using multi‐objective particle swarm optimization dealing with landowners' rights

Bijandi

Karimi

Bansouleh

et al. 2021

Transactions in GIS

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In conventional reallocation, farmers' preferences are used to determine the location of their new parcels in predetermined blocks. The most common conflict that can arise during this process is that demand may be high for some blocks. The manner of resolving such disputes, which deal directly with landowners' rights, can affect the success or failure of land consolidation projects. In this study, a novel model for land reallocation is proposed which is based on the principle that the initial situation of the landowner's parcels before land consolidation will be comparable with the new situation that includes all of his/her rights. For this, a spatial similarity‐based approach was proposed, taking into account geometric, ownership, physical, and locational criteria. Then, the agricultural land reallocation model (LR‐MOPSO) was developed using the multi‐objective particle swarm algorithm. Three objectives were defined: (1) simultaneous consideration of farmers' priority and spatial similarity criteria; (2) pooling of farmers' fragmented parcels; and (3) optimal placement of parcels within the block. The LR‐MOPSO model was applied to an Iranian case study and results were compared with a conventional approach. With this model decision‐makers in land consolidation projects will be able to redistribute parcels in a more transparent way, while dealing with landowners' rights.

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“…Parcel size has one of the most significant effects on production (Değirmenci et al 2017). The complexity of shapes can be measured with various shape indices used commonly by researchers (Aslan et al 2007;Jiao et al 2012;Demetriou et al 2013;Kwinta & Gniadek 2017). Unshaped parcels and parcel sizes should be taken into consideration together due to the connection they have on the effect on production.…”

Section: Introductionmentioning

confidence: 99%

Kernel Density Analysis of Parcel Size and Shapes Before and After Land Consolidation: A Case Study from Aşağısümenli Village in Malatya, Turkey

Arslan¹,

Değirmenci²,

Kartal³

2020

Tarım Bilimleri Dergisi

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Land consolidation (LC) projects are a set of applications that improve the economics of enterprises by assembling fragmented, dispersed, and irregular parcels. As the parcel densities coalesce around the village centre, the operation becomes easier, and fuel costs are reduced. Besides, the size of the parcel is one of the most important factors that increase the income of the enterprises, as well as the plant pattern, agricultural production form, soil quality, talents, labour force and technology features. The aim of the current study conducted within Aşağısümenli LC project in Malatya, Turkey, was to assess the density of small parcels around the village centre by using kernel density analysis as one of the geospatial analyses and to investigate the spatial distribution of irregular parcels with shape index. To identify the smallest parcels spatial distribution, 50%, 75% and 90% bandwidths were determined. Before LC, the average parcel area within 50%, 75% and 90% bandwidth was 0.69, 0.93 and 1.07 ha; after LC was 0.89, 1.45 and 1.63 ha, respectively. The area averages of parcels between 50% and 75% bandwidths before LC were 1.79 between 75% and 90% bandwidths and 4.77 ha out of 90% bandwidth; after LC, 1.60, 2.47 and 3.13 ha, respectively. As a result, the small parcels after LC were more concentrated around the village centre than before LC. Moreover, it can be said that the density of the small rectangular shaped parcels around the centre of the village is a positive result in terms of reducing the operation cost.

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The description of parcel geometry and its application in terms of land consolidation planning

Cited by 37 publications

References 11 publications

Comprehensive Value Discovery of Land Consolidation Projects: An Empirical Analysis of Shanghai, China

Comprehensive Value Discovery of Land Consolidation Projects: An Empirical Analysis of Shanghai, China

Reallocation model in land consolidation using multi‐objective particle swarm optimization dealing with landowners' rights

Kernel Density Analysis of Parcel Size and Shapes Before and After Land Consolidation: A Case Study from Aşağısümenli Village in Malatya, Turkey

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