Urban-Rural Interrelations—A Challenge for Sustainable Land Management

Doernberg, Alexandra; Weith, Thomas

doi:10.1007/978-3-030-50841-8_6

Cited by 6 publications

(3 citation statements)

References 58 publications

(97 reference statements)

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“…Urbanization is one of the most important processes determining global environmental change in the current era. The multiple ways for sustainability outcomes to be generated by the interaction of rural and urban processes need to be understood to advance global sustainable development [14]. The World Bank classifies infrastructure as both economic and social infrastructure.…”

Section: Literature Review 21 Urit Researchmentioning

confidence: 99%

Identification and Simulation of the Influencing Factors of Private Capital Participation in Urban and Rural Infrastructure Transformation Based on System Dynamics

Chen,

Zhu,

et al. 2023

Buildings

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An important force for participation in urban and rural infrastructure transformation (URIT) is private capital (PC), which helps to emphasize the importance of government departments in effectively implementing quality urban development strategies when driving PC in order to participate in URIT in a compliant and efficient manner. This article constructs a system of factors that influence the participation of PC in URIT, which uses the analytical hierarchy process–criteria importance through inter-criteria correlation (AHP-CRITIC) combination method to quantify the comprehensive assignment of influencing factors, in order to analyze the poor effectiveness of PC participation in URIT. On this basis, combined with a logical mechanism analysis of PC participation in URIT, the evolutionary system dynamics model was constructed, and it concerned the correlation between PC’s willingness to participate in URIT and PC’s willingness to participate in each of the influencing factors. The results of the study show that (1) factors such as “return on project investment”, “tax breaks”, “level of government finance”, “project construction cost”, “mechanism for public selection of PC”, and “establishment of a special coordinating department” are the most influential factors concerning the willingness of PC to participate in URIT; (2) the “open selection of PC” and the “establishment of a coordinating department” at the level of government behavior, and “tax relief” at the level of the policy system, directly affect the willingness of PC to participate in URIT; and (3) the analysis is based on the model simulation results, combined with stakeholder theory and incentive theory. After analyzing the simulation results, it was observed that increasing the degree of implementation, regarding the “public selection of PC” and “establishment of coordination departments” among the influencing factors related to the government’s behavior, significantly enhanced the willingness of PC to participate during the final stage of the simulation. The willingness increased from 2.81 to 3.24 and 3.22, respectively. Furthermore, after doubling the “tax relief” within the policy system, the willingness of PC to participate increased from 2.81 to 3.05 during the final simulation. Finally, this article gives strategic recommendations as to how governments can incentivize PC participation in URIT, which mainly include strengthening the profitability of URIT projects, innovating the PC participation model, improving the completeness of the supporting policies, and strengthening the co-ordination of local policies. The theoretical models and research results presented in this article can provide a reference for government policy makers to encourage PC participation in URIT and provide new ideas for transformation methods concerning PC participation in URIT.

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Section: Literature Review 21 Urit Researchmentioning

confidence: 99%

Identification and Simulation of the Influencing Factors of Private Capital Participation in Urban and Rural Infrastructure Transformation Based on System Dynamics

Chen,

Zhu,

et al. 2023

Buildings

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“…Urban-rural fringes are a specific type of rural area because their spatial proximity to a city causes them to combine land uses and features that are often seen as typically rural-such as agriculture, forestry, and a village structure-with land uses that are perceived as urban, such as a high density of infrastructure and housing demand. Due to the resulting multifunctionality and complex actor constellations, urban-rural fringes have been shown to be especially prone to land use conflicts and are therefore ideal study areas for the topic [5,33,34]. The region was deemed particularly suitable because the transition from urban to rural areas occurs within a relatively compact area, intensifying multifunctionality and, thus, conflict potential.…”

Section: Study Regionmentioning

confidence: 99%

“It Is a Total Drama”: Land Use Conflicts in Local Land Use Actors’ Experience

Fienitz

Siebert

2022

Land

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As land is limited, conflicts between land uses, and, consequently, conflicts between land users about land use inevitably arise. However, how these land use conflicts affect local land use actors has remained underexplored. The objective of this paper is to provide a broad, cross-sectoral overview of land use conflicts as perceived by local land use actors and to explore the actors’ experiences with these conflicts. We conducted 32 semistructured interviews with key land use actors (mayors, local agencies, interest groups, local boards, businesses) in the urban-rural fringe region of Schwerin, Germany. We then applied a qualitative text analysis to identify the region’s most relevant conflicts across all land use sectors (agriculture, settlement, infrastructure, forestry, conservation, tourism, industry, etc.) and their impacts on local actors’ daily experiences. The results show that local actors are aware of many diverse land use conflicts, most frequently regarding land uses for housing, environmental/species conservation, and traffic. Moreover, local actors report these conflicts as relevant to their daily work, and many perceive the conflicts as a strain. Conflicts impede land management processes; they tie up resources, are often perceived as complex, and can be experienced as highly stressful—as summed up in an interviewee’s conclusion: “It is a total drama”. Thus, land use conflicts play an important and mostly negative role in the experiences of land use actors. These findings fill current gaps in the literature on land use conflicts regarding the types of conflicts about which actors are aware and the consequences of these conflicts. The results also underline the relevance of addressing conflicts in land use planning and governance, the need for appropriate conflict management, and the necessity of providing local actors with sufficient resources to deal with land use conflicts. The paper further identifies some starting points so conflicts can enhance rather than impede communal life in rural areas.

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“…Urban areas associated with built-up infrastructure have been linked to unsustainable resource extraction [13]. Moreover, many already-developed megacities have experienced ongoing land use intensification (e.g., higher-density buildings) as well as extensification (e.g., urban sprawl) [14].…”

Section: Introductionmentioning

confidence: 99%

Automated Built-Up Infrastructure Land Cover Extraction Using Index Ensembles with Machine Learning, Automated Training Data, and Red Band Texture Layers

Maloney,

Becker,

Griffin

et al. 2024

Remote Sensing

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Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to separate built-up infrastructure from spectrally similar bare ground. Our evaluation produced global thresholds by evaluating ground truth points against a range of site-specific optimal index thresholds across the 24 images. These were used to classify an ensemble, and then spectral indexes, texture, and stratified random sampling guided training data selection. The training data fit a random forest classifier to create final binary maps. Validation found an average overall accuracy of 79.95% (±4%) and an F1 score of 0.5304 (±0.07). The inclusion of the texture metric improved overall accuracy by 14–21%. A comparison to site-specific thresholds and a deep learning-derived layer is provided. This automated built-up infrastructure mapping framework requires only public imagery to support time-sensitive land management workflows.

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Urban-Rural Interrelations—A Challenge for Sustainable Land Management

Cited by 6 publications

References 58 publications

Identification and Simulation of the Influencing Factors of Private Capital Participation in Urban and Rural Infrastructure Transformation Based on System Dynamics

Identification and Simulation of the Influencing Factors of Private Capital Participation in Urban and Rural Infrastructure Transformation Based on System Dynamics

“It Is a Total Drama”: Land Use Conflicts in Local Land Use Actors’ Experience

Automated Built-Up Infrastructure Land Cover Extraction Using Index Ensembles with Machine Learning, Automated Training Data, and Red Band Texture Layers

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