Integrated Land Use Research Articles

Relationship Between Historic Evolution, Urbanization and Mobility in Ibadan, Nigeria

Ibadan is said to be the biggest indigenous city in Nigeria with a population of about 4.04 million, making it the third largest city in the country after Lagos and Kano. Since its founding in 1829, Ibadan has experienced urban evolution that is mostly unguided. With its high fertility rate, population growth and rural-to-urban migration, Ibadan has experienced significant urban sprawl that has resulted in challenges in urban mobility especially to the lower-income earners. This study looks at the relationship between urban planning, urbanization and mobility in the city of Ibadan. The study found that lack of integrated land use planning that includes transport networks including a masterplan is one of the major issues facing mobility in the city. Moreover, unregulated sprawl mostly made of slums and informal settlements has ecological, economic and social effects. Upgrading of slums coupled with integrated urban planning and enforcement is proposed as part of the solution for an effective urban mobility in the city. Policies that encourage compact urban development, mixed land use, and the provision of efficient public transportation systems to reduce the dependence on private transportation and create more walkable, bikeable, and transit- friendly communities are recommended.

Mapping and assessing the future provision of lake ecosystem services in Lithuania

Lakes supply multiple ecosystem services (ES), key to supporting socio-ecologic systems and human well-being. In the context of future land use and climate changes, it is imperative to anticipate potential impacts on lake ES supply. Hence, studies that deal with future lake ES, such as mapping, are lacking. In this work, we mapped and assessed the future supply of three ES: (1) maintenance of nursery conditions (nursery ES), (2) maintenance of chemical conditions of freshwaters (nutrient regulation ES), and (3) direct and indirect cultural outputs (recreation ES) in Lithuania. Four future scenarios were utilised, integrating land use and climate changes: A0 - business as usual; A1-urbanisation; A2: land abandonment and afforestation; and A3 - agricultural intensification. The projected year was 2050, following the intermediate Representative Concentration Pathway (RCP 4.5). The future scenarios were simulated using the open-source software Dinamica EGO based on a 6-step modelling framework. Statistical differences among the scenarios and ES were analysed by applying a Kruskal-Wallis ANOVA test. Spatial analysis was done by performing a Moran's I and Getis-Ord (Gi∗) hotspot analysis. The results showed significant differences in nursery and nutrient regulation ES. The highest supply in nursery ES was observed for the A0 scenario. For nutrient regulation ES, the lowest ES supply was identified for the A1 scenario and for recreation ES, the highest was found in the A2 scenario. The eastern and northeastern regions of Lithuania showed a high ES supply. Hot spots were only identified in the eastern region. These regions are associated with a high area covered by forests and protected areas. The central region shows a low ES supply, identified as a cold spot where the agricultural landscape dominates. The results of the PCA analysis revealed an association between nursery and recreation ES. Nutrient regulation was not associated with the other two ES. Mapping and assessing the impact of future scenarios is vital to anticipating the potential dynamics of lake ES, especially in the context of climate change. This information is essential in the context of environmental management, helping decision-makers to ensure a sustainable ES supply and contributing to human wellbeing.

Prioritizing Watersheds for Intervention Design Using GIS and Remote Sensing

In many developing countries with poorly managed landscapes, soil erosion threatens the sustainability of water bodies. The main limitations of this study are the lack of daily sediment data, lithology, higher-resolution DEM data, and socioeconomic factors. Poor land use policy and resource management in the Upper Awash Sub-basin lead to soil erosion and sedimentation of hydrological infrastructure, Effective watershed prioritization requires integrating land use, hydrology, sediment load, and morphometric factors but often faces gaps, especially in the study area. This research aims to prioritise the Upper Awash Sub-Basin by its morphometric, land use and cover (LULC), and sediment yield characteristics. We used the integrated AHP-VIKOR multi-attribute decision-making method to prioritise watersheds, incorporating morphometry, LULC, and sediment load attributes in the simple matrix approach. The findings showed the following classes of erosion: exceedingly high (2722.14 km2), high (2524.46 km2), moderate (2205.48 km2), low (1611.43 km2), and extremely low (854.35 km2). Sub-watersheds WS6, WS8, WS10, WS13, and WS24 are the top priority for watershed management. The study ranked watersheds based on various attributes but encountered limitations such as the lack of daily sediment data, geological structure, and lithology. It can be concluded that this approach is very important to identify and categorize hotspots of soil erosion sub-watersheds for planners and decision-makers for conserving water and soil and for different environmental management purposes.

Evaluating China’s urbanization trajectory: an overextension or still in progress?

China’s urbanization has undergone a transformative journey since the initiation of the reform and opening-up policy in 1978, catalyzing economic growth while profoundly impacting its ecological and demographic landscapes. This study offers a systematic evaluation of China’s urbanization trajectory over the past 4 decades through the development of an indicator system encompassing three key dimensions: population urbanization, land urbanization, and economic urbanization. Using the entropy method for weight assignment, the analysis reveals a consistent upward trend in China’s comprehensive urbanization, with occasional sharp increases. Although population urbanization influences the overall index, land urbanization has outpaced both population and economic urbanization, indicating a pronounced dependence on land resources. This trend poses a potential risk of unsustainable urban growth if left unaddressed. The findings indicate that to achieve sustainable urban development, China must prioritize balancing the interplay between population and land, moving away from land-dependent strategies, and adopting a more balanced approach to urbanization. The quantitative analysis provides key insights into this imbalance, indicating that policies should integrate land use planning with population dynamics to promote holistic urban growth. Future research should investigate the long-term socio-economic and environmental impacts of land-centric urbanization and propose innovative strategies to guide China towards a sustainable urban future.

Exploring drivers of land use/land cover transformations in Goang watershed Ethiopia: Integrating local community perceptions with remote sensing data

Land use/land cover (LULC) changes driven by human activities are major environmental challenges in many developing regions. This study assessed local community perceptions and household-level drivers of LULC change in northwest Ethiopia. The study combined remote sensing analysis of LULC change with household surveys to understand local perspectives and the socioeconomic, biophysical, and institutional factors influencing household engagement in deforestation activities. The household survey data was collected from 384 randomly selected household heads, as well as from focus group discussions and key informant participants. The remote sensing component used ERDAS IMAGINE 2014 software to classify satellite images and assess LULC changes over time. The quantitative socio-economic data was analyzed using descriptive statistics and econometric methods of the multivariate probit (MVP) model. The study revealed that population growth, poverty, and food insecurity were the major proximate driving factors, while agricultural land expansion, settlement growth, fuelwood collection, overgrazing, and forest fires were the major underlying causes of LULC change. The MVP model result indicated that gender, off-farm income, access to training, family size, educational level, and agroecology were key determinants of households’ involvement in deforestation drivers such as forestland clearing for agriculture, fuelwood collection, timber harvesting, and overgrazing. These findings highlight the need for integrated land use policies and programs that address the socioeconomic and biophysical root causes of LULC change. This study recommends supporting alternative livelihoods, promoting fuel-efficient technologies, and tailoring interventions to different agroecological contexts of sustainable land use planning and natural resource management in the study site. Future studies should compare perceptions and drivers of land use change across different regions to identify common patterns and unique challenges. This approach will enhance understanding and inform targeted interventions for sustainable land management.

Analyzing land use land cover dynamics under rapid urbanization using multi-temporal satellite imageries and geospatial technology for Jamshedpur city in India

Land use land cover (LULC) is considered as one of the most important driving factors behind the global environmental change. The rapid changes in the LULC patterns than ever before, mostly in developing countries, are frequently considered by widespread urban sprawling, land degradation, reduction of agricultural land, and alteration into other land use categories, resulting in enormous costs to the environment. Using a combined remote sensing and GIS technique, this study investigates the spatial urban expansion and its impacts on other LULC categories from 1987 to 2016 in Jamshedpur, India, based on the acquired multispectral satellite imageries, field observations, and demographic data. A visual-based image analysis technique was employed to develop a LULC map for the period of 1987, 2004, and 2016, and the precision of the maps was determined by overall accuracy and kappa statistic methods. The compact urbanization over the city was quantified using both landscape metrics and Shannon’s entropy method. The results of the change detection showed that the built-up area has experienced more than fifty percent growth during the 1987 – 2016 period. It is the main driving factor behind the reduction in the area of other land use categories: agricultural land (−87.12 %), vegetation (−67.51 %), riverbed (−46.25 %), and forest cover (−27.92 %). Although barren land and fallow land were the most dynamic land use categories, it increased by 281.84 % and 119.66 %, respectively. The change matrix between 1987 and 2016, indicated the maximum transformation (+455.23 %) of fallow land to settlement. Geographically, there is a continuous growth in the built-up area from the city center to the fringes as a result of suburbanization. The values of Shannon’s entropy during 1987, 2004, and 2016 were 1.11, 1.19, and 1.57, respectively. The demographic analysis shows that the annual population for the period of 1971–1981, 1981–1991, 1991–2001, and 2001–2011 has changed by + 3.89 %, +2.09 %, +2.91 %, and + 1.95 % per year, respectively. The population growth, aggregated settlements and land scarceness in Jamshedpur were found to be the key reasons behind the urban growth and development. This study emphasizes the critical need for sustainable urban development practices and robust land use strategies to alleviate the environmental impacts of rapid urban expansion. It will lay a valuable groundwork for future research focused on integrating land use management with urban growth frameworks to achieve balanced and resilient development in Jamshedpur.

The Nature of Environmental Degradation and Inter-Ethnic Conflict in Meru County, Kenya

Environmental degradation continues to be one of the most serious challenges in achieving Kenya's Vision 2030 sustainable development goals. For instance, parts of Meru County where this study was done experience persistent conflict from environmental degradation and depletion of the natural resources, due to farming and livestock raring. The conflict pits the agriculturist Meru and other communities who are pastoralists. This study sought to examine the nature of environmental degradation and inter-ethnic conflict in Meru County, Kenya. This study employed phenomenological study research design using qualitative approach. The research instruments used were, interview guides and Focused Group Discussion guide (FDGs). The analysis of data was done thematically and presented as narrations and quoted verbatim. The study found that environmental degradation in Meru County is primarily driven by overgrazing, deforestation, and poor land management practices. These factors have led to soil erosion, water and pasture scarcity, and reduced agricultural productivity, which in turn escalate inter-ethnic conflicts between farmers and pastoralists. The analysis revealed that environmental degradation not only strains the already limited resources but also intensifies competition and disputes over land, pasture and water. The study concluded that there is a significant relationship between environmental degradation and escalating inter-ethnic conflicts in Meru County. Effective strategies to mitigate these issues include enhancing community engagement, implementing robust environmental policies, promoting sustainable land use practices, and fostering conflict resolution mechanisms. Addressing environmental degradation is crucial for reducing inter-ethnic conflicts and promoting peace and sustainable development in the region. To address environmental degradation in Meru County, prioritize sustainable agriculture, reforestation, and waste management to combat erosion and pollution; engage the community in conservation efforts, strengthen policies against harmful activities, and integrate land use plans to balance conservation and development.; implement conflict resolution mechanisms and revive traditional practices to enhance resilience; and capacity building and advocacy are key to fostering sustainable practices and ensuring long-term environmental stewardship.

Ramie Fibers from Agroforestry System as Sustainable Materials for Functional Textiles: A Review

Ramie Fibers from Agroforestry System as Sustainable Materials for Functional Textiles: A Review

Assessment of the spatial-temporal impact of the Longhai Railway transportation corridor on land cover changes and landscape patterns

IntroductionTransportation corridors, as special economic corridors, have a greater impact on land cover and landscape pattern changes.MethodsTherefore, 10 buffer zones were established at 1 km intervals on both sides of the Longhai Railway as the centerline to trace the impact of the railroad corridor on the land use change and regional landscape pattern change of the cities along the line from 1985 to 2020.ResultThe results show that: (1) The land cover changes along the railroad corridor during the 35 years are mainly characterized by the conversion between cropland, grassland, and construction land. Compared with 1985, in 2020, the construction land increased by 161.96%, the grassland area decreased by 11.83%, and the cropland area decreased by 15.83%. (2) The fragmentation of land patches and vegetation coverage is negatively and positively correlated with the buffer zone distance, respectively. In the same year, the comprehensive land-use dynamic degree is smaller as it is further away from the railway. The nighttime light index in the buffer zone is significantly correlated with the land aggregation index and average patch area, and the closer to the railroad, the higher the land aggregation index of construction land. (3) In terms of zoning, the intensity of land cover and landscape pattern changes in the eastern section is higher than that in the western section, with a higher degree of land fragmentation and more agglomeration of construction land, and the transportation corridor has a greater impact on the change of integrated land use motives in this region. The results of the study can provide a scientific basis for optimising the spatial pattern of land and improving the ecological environment in the construction of cross-regional transport corridors.

Multi-hazard assessment for flood and Landslide risk in Kalimantan and Sumatra: Implications for Nusantara, Indonesia's new capital

Situated within the Ring of Fire and characterized by a tropical climate and high seismic activity, Indonesia is uniquely vulnerable to natural disasters such as floods and landslides. These events pose significant threats to both the population and infrastructure. This study predicts areas exposed to flood and landslide risk by considering various environmental factors related to climate, topography, and land use. The predictive performance of three machine learning models—naïve Bayes, k-nearest neighbors, and random forest (RF)—was evaluated by comparing the AUC, RMSE, and R2 values of each model. Ultimately, the RF model, which demonstrated the highest accuracy, was used to prioritize disaster impact factors and generate hazard maps. The results identified the interaction of rainfall, land use, and slope aspect as the most critical determinants of hazard occurrence. The predicted hazard maps revealed that approximately 26.7 % of the study area was vulnerable to either floods or landslides, with 16.8 % of the area experiencing both. The new capital of Nusantara showed a relatively higher multi-hazard risk than did the overall study area and protected zones, with 22.1 % of the hazard area vulnerable to both flooding and landslides. In single hazard zones, areas classified as at risk for floods had a higher mean probability of experiencing both hazards (43 %), as compared to areas classified as at risk for landslides (22 %). As a result, urban planners and relevant stakeholders can now utilize the hazard maps developed in this study to prioritize infrastructure reinforcement and disaster risk areas, integrating land use planning with risk assessment to mitigate the impact of disasters. By employing these strategies, Indonesia and other countries facing similar challenges can now enhance their disaster preparedness and response capabilities in new capital regions and other areas, ultimately planning for more sustainable urban development.

Multi-Scenario Ecological Network Conservation Planning Based on Climate and Land Changes: A Multi-Species Study in the Southeast Qinghai–Tibet Plateau

The Qinghai–Tibet Plateau ecosystem is fragile, experiencing rapid changes in land cover driven by both climate change and human activities, leading to habitat fragmentation and loss and resulting in biodiversity decline. Habitat ecological networks (HA-ENs) are considered effective solutions for habitat connectivity and biodiversity conservation in response to these dual drivers. However, HA-EN studies typically rely on current or historical landscape data, which hinders the formulation of future conservation strategies. This study proposes three future scenarios—improvement, deterioration, and baseline scenarios—focused on the southeastern Qinghai–Tibet Plateau (SE-QPT). The habitats of 10 species across three classes are extracted, integrating land use and climate change data into habitat ecological network modeling to assess the long-term dynamics of HA-ENs in the SE-QPT. Finally, conservation management strategies are proposed based on regional heterogeneity. The results show the following: Climate change and human activities are expected to reduce the suitable habitat area for species, intensifying resource competition among multiple species. By 2030, under all scenarios, the forest structure will become more fragmented, and grassland degradation will be primarily concentrated in the southeastern and western parts of the study area. Compared to 1985 (71,891.3 km2), the habitat area by 2030 is projected to decrease by 12.9% (62,629.3 km2). The overlap rate of species habitats increases from 25.4% in 1985 to 30.9% by 2030. Compared to the HA-EN control in 1985, all scenarios show a decrease in connectivity and complexity, with only the improvement scenario showing some signs of recovery towards the control network, albeit limited. Finally, based on regional heterogeneity, a conservation management strategy of “two points, two cores, two corridors, and two regions” is proposed. This strategy aims to provide a framework for future conservation efforts in response to climate change and human activities.

Mangrove Ecotourism along the Coasts of the Gulf Cooperation Council Countries: A Systematic Review

Mangrove ecotourism is gaining immense popularity in the Gulf Cooperation Council (GCC) countries as a neoliberal conservation tool, and it has contributed significantly to the growth of the tourism sector in the region over the past two decades. However, there is no comprehensive review on the full extent of mangrove ecotourism activities and the contribution to mangrove conservation/restoration and economic growth in the region. A systematic literature review approach was used to examine the evolution of mangrove ecotourism in the GCC countries from 2010 to 2023. A total of 55 articles were retrieved from the Google and Google Scholar search engines, and the Scopus and Web of Science databases were incorporated. We synthesized the results and provided perspectives on the following: (1) the geographical and temporal distribution of studies in relation to mangrove extent, (2) key sites, attractions, and values for mangrove ecotourism activities, (3) the positive and negative impacts of mangrove ecotourism, and (4) existing mangrove conservation and restoration initiatives for the growth of mangrove ecotourism in the GCC countries. The findings underscore the significance of mangrove ecotourism in supporting economic development, protecting coastal ecosystems, and sustaining local livelihoods in the GCC countries. However, this study highlights the crucial need for sustainable coastal environmental management through integrated land use planning and zoning to address the negative impacts of anthropogenic pressures on mangrove ecosystems and ecotourism attractions. The use of remote sensing tools is invaluable in the monitoring of mangrove ecosystems and associated ecotourism impacts for informing evidence-based conservation and restoration management approaches. Thus, harnessing mangrove ecotourism opportunities can help the GCC countries with balancing economic growth, coastal environmental sustainability, and community well-being.

Assessing Eco-Environmental Effects and Its Impacts Mechanisms in the Mountainous City: Insights from Ecological–Production–Living Spaces Using Machine Learning Models in Chongqing

In the face of accelerating land use changes, conflicts between land use patterns and the eco-environment are increasingly pronounced. By calculating the eco-environment quality index (EQI) adopting the ecological–production–living spaces (EPLS) framework, we evaluate the eco-environment quality of land use changes within Chongqing’s central urban area from 2000 to 2020. The study employs a random forest model to elucidate the mechanisms influencing the eco-environment quality. The findings reveal the following: (1) Living spaces have expanded by 361.53 km2, while production and the ecological spaces have been experiencing a significant reduction of 331.42 km2 and 30.11 km2 over two decades. (2) The eco-environment quality has steadily declined from 0.3665 in 2000 to 0.3501 in 2020, indicating a degradation in overall quality. There is notable spatial variation in eco-environment quality, typically displaying a “low center–high periphery” pattern. (3) Pesticide usage, grain production, and the added value of the primary industry are the primary factors affecting ecological quality. The findings of this study provide valuable insights for global urban planning and environmental management. Rapidly, land use change regions worldwide face similar conflicts between economic growth and ecological sustainability. This research underscores the need for integrated land use policies that balance development with environmental preservation. The methodologies and findings can inform international efforts to optimize land use patterns, improve ecological quality, and achieving sustainable development goals, offering adaptable strategies for policymakers and urban planners globally.

Hyper-local black carbon prediction by integrating land use variables with explainable machine learning model

This research introduces an innovative framework that effectively integrates the Land Use Regression (LUR) model with an explainable machine learning methodology, thereby enhancing the causal understanding of how land use variables impact Black Carbon (BC) concentrations in complex urban landscapes. Through the development and application of a LUR-based Bayesian Network (BN) model to detailed, mobile-based BC measurements, we have successfully decoded the causal relationships and conditional probabilities linking diverse urban land use variables to BC levels. The BN model demonstrates notable prediction accuracy on the test set, with an R2 of 0.59 and an NRMSE of 0.65. Among the varied land use variables analyzed, proximity to the port is identified as the dominant factor contributing to BC hotspots. Moreover, the synergistic effect of port proximity and truck routes emerges as a key driver of spatially clustered BC hotspots, a complex phenomenon not adequately captured by conventional machine learning and deep learning models. The insights revealed through this study are vital not just for enhancing air pollution prediction and exposure analysis but also for informing urban planning and policymaking, offering valuable, actionable insights.

Reduction potentials of chemical-synthetic pesticides – A case study using the example of an Eco-Scheme in southern Germany

Chemical-synthetic pesticides (CSPs) are associated with several negative environmental effects. The European Commission aims to reduce their use by 50% by 2030. This paper looks at the German Eco-Scheme, an agri-environmental payment scheme, for the foregoing of chemical-synthetic pesticides (CSPs) in arable crops for a one-year period. Using Baden-Württemberg in southern Germany as a case study, we investigated the suitability of the Eco-Scheme as a policy tool for CSP reduction. We used a field-based, georeferenced integrated land use model based on linear programming. Different payment levels for the Eco-Scheme were simulated. In addition, we analyzed the effect of labor availability, crop yield requirements, and market prices on Eco-Scheme implementation (uptake).The implementation potentials at €130/ha, the payment level in 2023, were limited and strongly dependent on market prices as well as potential food supply targets. The percentage decline in overall CSP use (measured in active substance mass) was even lower than the implementation in the percentage of acreage attributed to the Eco-Scheme. The implementation potentials were mainly observed on marginal sites. Higher simulated payment levels led to lower cost efficiency and dead weight losses. This trade-off between cost efficiency and effective reduction questions the suitability of the Eco-Scheme, at least for more substantial CSP reductions. To increase economic efficiency, we recommend differentiating payments based on abatement costs, for example on a crop-basis.

Application of Integrated Land Use Regression and Geographic Information Systems for Modeling the Spatial Distribution of Chromium in Agricultural Topsoil

Application of Integrated Land Use Regression and Geographic Information Systems for Modeling the Spatial Distribution of Chromium in Agricultural Topsoil

Urbanization induced changes in land use dynamics and its nexus to ecosystem service values: A spatiotemporal investigation to promote sustainable urban growth

Proper knowledge regarding the spatial dependence of ecosystem service values (ESVs) on the changes in land use dynamics is essential for environmental management as well as sustainable urban development. To investigate this complex association concerning a fast-growing secondary city, this study estimated the integrated land use dynamic degree (ILUDD), uniform annual land use transition intensity (Wtn), and entropy index of land use mix (LUM), and the ESVs for Raiganj urban agglomeration (UA). The overall association between the three indices and the ESVs is explored using the spatial lag and spatial error model. For the local level association, the geographically weighted regression (GWR) is applied. The output showed that changes in ILUDD and LUM indicate over −20 unit and −2 unit changes in the ESVs of built-up with 1 unit increase in ILUDD and LUM, respectively. However, the ILUDD coefficient score concerning vegetation ESV was observed around +25. The Wtn also represented a significant loss of natural vegetation from every administrative unit of Raiganj UA. The relation between urban growth type and landscape patches is analyzed using Getis-Ord-Gi. It is found that the promotion of compact growth can be the best possible solution to preserve the environmental quality in this region.

The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US

Projections for deep decarbonization require large amounts of solar energy, which may compete with other land uses such as agriculture, urbanization, and conservation of natural lands. Existing capacity expansion models do not integrate land use land cover change (LULC) dynamics into projections. We explored the interaction between projected LULC, solar photovoltaic (PV) deployment, and solar impacts on natural lands and croplands by integrating projections of LULC with a model that can project future deployment of solar PV with high spatial resolution for the conterminous United States. We used scenarios of LULC projections from the Intergovernmental Panel on Climate Change Special Report on Emission Scenarios from 2010 to 2050 and two electricity grid scenarios to model future PV deployment and compared those results against a baseline that held 2010 land cover constant through 2050. Though solar PV's overall technical potential was minimally impacted by LULC scenarios, deployed PV varied by −16.5 to 11.6 % in 2050 from the baseline scenario. Total land requirements for projected PV were similar to other studies, but measures of PV impacts on natural systems depended on the underlying land change dynamics occurring in a scenario. The solar PV deployed through 2050 resulted in 1.1 %–2.4 % of croplands and 0.3 %–0.7 % of natural lands being converted to PV. However, the deepest understanding of PV impacts and interactions with land cover emerged when the complete net gains and losses from all land cover change dynamics, including PV, were integrated. For example, one of the four LULC projections allows for high solar development and a net gain in natural lands, even though PV drives a larger percentage of natural land conversion. This paper shows that integrating land cover change dynamics with energy expansion models generates new insights into trade offs between decarbonization, impacts of renewables, and ongoing land cover change.

Optimizing shared bike systems for economic gain: Integrating land use and retail

This study explores the optimization of shared-bike station locations, emphasizing the cycling role in low-carbon mobility and local economic revitalization. A unique aspect of this research is the incorporation of the retail activity index in determining station locations, land-use mix, transit proximity, and population and employment densities. A novel weighting method, combining the multi-criteria decision method “Criteria Importance Through Inter-criteria Correlation (CRITIC)” with Ensemble-based predictive algorithms (Random Forest, XGBoost, Gradient Boosting), was developed to evaluate these factors. Using a geographic information system-based spatial model, this study conducted a suitability analysis by applying these weights to assess and propose bike station sites. The findings from the Seoul case indicate a balanced land-use mix, a low number of transactions linked to cyclists, and a significant gap in multimodal transport integration. The weighting results revealed a high priority for transit proximity and retail activity in station placement. Suitability scores across districts revealed significant variability, suggesting the need for greater integration of cycling policies into urban planning. High-scoring districts, such as Gangnam-gu and Seocho-gu, offer insights for improvements in less suitable areas. This study advocates expanded cycling planning, focusing on enhancing access to public transit and retail areas.

Mitigation of land-related impacts of solar deployment in the European Union through land planning policies

Solar power is space-intensive and will contribute to intensify land competition, a factor typically not captured by models. This study uses the Integrated Assessment Model WILIAM which explicitly represents the land use changes driven by solar energy expansion through a hard link of its energy and land modules including net energy restrictions. A Green Growth type transition is simulated for the European Union with a high renewable energy share target in electricity mix by 2050, testing different land use planning policies.The results show that a rapid deployment of solar power in land without land policies can intensify land use conflicts and increase associated land use change emissions. Land-use requirements for solar would be 1–1.4 % of total land (corresponding to 55–75 % of urban land), which could be problematic locally. The implementation of land-use protection and land siting policies could reduce 23 % of total land occupied bv solar photovoltaics panels (with respect to forest and cropland the area occupied could be reduced up to 88 %), and 23–47 % of the land use change associated emissions with respect to a scenario where not policies are applied. These results show the importance of integrating land use and energy planning policies to alleviate the undesired impacts.