Decision support framework to rank and prioritise the potential land areas for comprehensive land consolidation

Pašakarnis, Giedrius; Malienė, Vida; Dixon-Gough, R. W.; Malys, Naglis

doi:10.1016/j.landusepol.2020.104908

Cited by 33 publications

(13 citation statements)

References 26 publications

(33 reference statements)

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“…This research assessed the suitability of FCAM by establishing an indicator system. Based on the literature and indicator selection rules, i.e., integration, independence, diversity, and feasibility ( Zhang et al,2018 ; Pašakarnis et al., 2021 ), we selected 15 indicators from four dimensions, i.e., natural resource endowment, accessibility of agricultural machinery, socioeconomic level, and ecological limitations (see Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

Assessing farmland suitability for agricultural machinery in land consolidation schemes in hilly terrain in China: A machine learning approach

Heng

Ma²,

Liu³

et al. 2023

Front. Plant Sci.

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Identifying available farmland suitable for agricultural machinery is the most promising way of optimizing agricultural production and increasing agricultural mechanization. Farmland consolidation suitable for agricultural machinery (FCAM) is implemented as an effective tool for increasing sustainable production and mechanized agriculture. By using the machine learning approach, this study assesses the suitability of farmland for agricultural machinery in land consolidation schemes based on four parameters, i.e., natural resource endowment, accessibility of agricultural machinery, socioeconomic level, and ecological limitations. And based on “suitability” and “potential improvement in farmland productivity”, we classified land into four zones: the priority consolidation zone, the moderate consolidation zone, the comprehensive consolidation zone, and the reserve consolidation zone. The results showed that most of the farmland (76.41%) was either basically or moderately suitable for FCAM. Although slope was often an indicator that land was suitable for agricultural machinery, other factors, such as the inferior accessibility of tractor roads, continuous depopulation, and ecological fragility, contributed greatly to reducing the overall suitability of land for FCAM. Moreover, it was estimated that the potential productivity of farmland would be increased by 720.8 kg/ha if FCAM were implemented. Four zones constituted a useful basis for determining the implementation sequence and differentiating strategies for FCAM schemes. Consequently, this zoning has been an effective solution for implementing FCAM schemes. However, the successful implementation of FCAM schemes, and the achievement a modern and sustainable agriculture system, will require some additional strategies, such as strengthening farmland ecosystem protection and promoting R&D into agricultural machinery suitable for hilly terrain, as well as more financial support.

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Section: Methodsmentioning

confidence: 99%

Assessing farmland suitability for agricultural machinery in land consolidation schemes in hilly terrain in China: A machine learning approach

Heng

Ma²,

Liu³

et al. 2023

Front. Plant Sci.

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“…The CBA is used for assessing the net present value of different remediation alternatives (Soderqvist et al, 2015) and evaluating public investment projects' value for money (Volden, 2019). In addition, MCDA is also an appropriate method for project evaluation and prioritization, since it could assess multiple alternatives, while considering multiple criteria (Pa sakarnis et al, 2021). The current application of MCDA extends to prioritize the urban renewal projects (Polat et al, 2016), assess and select feasible industrial buildings alternatives (Heravi et al, 2017), identify the best project portfolio (Ma et al, 2020) and determine the most suitable scenario of smart cities (Bottero et al, 2021).…”

Section: Literature Review 21 Project Evaluation and Selection From P...mentioning

confidence: 99%

“…, 2015) and evaluating public investment projects’ value for money (Volden, 2019). In addition, MCDA is also an appropriate method for project evaluation and prioritization, since it could assess multiple alternatives, while considering multiple criteria (Pašakarnis et al. , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid approach to supporting physical-change-based renewal projects selection decisions in high-density city: a case study of Chongqing

Chen

Zhuang

Liu

2022

ECAM

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Purpose The aims of this paper is to establish an appropriate physical-change-based renewal (PCBR) projects selection mechanism capable of selecting the combination of the PCBR projects that can make up an integrated urban renewal program in high-density cities.Design/methodology/approach The research design follows a sequential integrated methodology that combines the calculation algorithms of Fuzzy Analytic Network Process (Fuzzy-ANP) with Zero-One Goal Programming (ZOGP) to support decisions for the selection of PCBR projects. In the first phase, general criteria for assessing the sustainability performance of PCBR projects were collected from relevant literature. In the second phase, the Fuzzy-ANP was used to identify the priority weights of the candidate projects through clarifying the interdependent degree between the criteria and candidate projects. Finally, ZOGP method was selected as a predetermined number of PCBR projects among candidate projects.Findings The feasibility and effectiveness of this hybrid approach is then verified in a case study of Yuzhong District, Chongqing in China. The results of this study indicate that the integrated method is capable of directing the decision maker toward the best compromising solution of PCBR program that can achieve the maximization of sustainable benefits and allocate limited resources most efficiently.Originality/value The novelty of this paper consists in combining the algorithms of the Fuzzy-ANP method with those of the ZOGP model that serves as an effective analysis tool to address practical decision problems. This is the first hybrid algorithms to make PCBR projects selection decision that reach the maximization of the sustainable benefits, both in economic and socio-environmental terms.

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“…According to Ref. [14], the growing number of land use priorities (i.e., not only agricultural improvement, but also incorporating environmental interests, for example) have influenced the debates over whether land consolidation in rural development has become too complicated and has resulted in far too long procedures. This has resulted in hesitance to opt for land consolidation.…”

Section: Theoretical Review On Land Fragmentation and Consolidationmentioning

confidence: 99%

An Experimental Study of the Social Dimension of Land Consolidation Using Trust Games and Public Goods Games

Tepnadze

Vries

Durán-Díaz

et al. 2022

Land

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Most land consolidation projects envisage reducing fragmentation and aim at increasing productivity, land use efficiency, and competitiveness of rural areas. However, recent insights suggest that social aspects are crucial as well. Hence, a critical assessment of the conditions under which land consolidation can be socially beneficial is necessary. This article aims to identify values and qualitative indicators to measure social preferences and to assess whether one can optimize decision support tools for land consolidation projects with such indicators. Based on an exploratory and concept-centric qualitative literature review, we propose game applications from experimental economics to measure empirical indicators of social capital. The games help to disclose conflicting social preferences and enable a more accurate response to public policy programs/interventions. This is achieved by assessing commonly shared norms of trust, reciprocity, and cooperation within and across social groups in a targeted area. We posit, however, the disparity among bonding, bridging, and linking dimensions of a social capital could have a differential effect on land consolidation instruments. This experimental method applied in Kakheti, Georgia reveals that 1. the farmer communities have varying combinations of bonding, bridging, and linking social capital; 2. the local farmer societies are the archetype of the collaborative model and sharing economy; 3. only a few municipalities show the highest potential for sustainably managing land consolidation projects. Hence, applying economic games that explore social scenarios helps to derive more favourable solutions for land consolidation.

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Decision support framework to rank and prioritise the potential land areas for comprehensive land consolidation

Cited by 33 publications

References 26 publications

Assessing farmland suitability for agricultural machinery in land consolidation schemes in hilly terrain in China: A machine learning approach

Assessing farmland suitability for agricultural machinery in land consolidation schemes in hilly terrain in China: A machine learning approach

A hybrid approach to supporting physical-change-based renewal projects selection decisions in high-density city: a case study of Chongqing

An Experimental Study of the Social Dimension of Land Consolidation Using Trust Games and Public Goods Games

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