Influence Of Land Use Research Articles

Study on the Influence of Salinity, TDS, GWL and Land Use in the Coastal Region of Kebumen Regency with a Statistical Approach

This study investigates the impact of salinity levels, total dissolved solids (TDS), groundwater levels (GWL), and land use patterns in the coastal region of Kebumen Regency, employing a statistical approach. Coastal areas are often vulnerable to salinity variations, which can significantly affect the surrounding ecosystems and land utilization. The research aims to discern the correlation between TDS, salinity levels, GWL and land use practices in this specific region, employing statistical analysis as a means of quantifying and understanding these relationships. Total dissolved solids (TDS) represent the concentration of inorganic salts, minerals, and ions in water bodies and play a crucial role in the overall water quality of coastal areas. Salinity levels, on the other hand, directly affect TDS and are influenced by factors such as tidal patterns and freshwater input. Groundwater levels affect salinity and TDS. Land use practices, including agricultural, residential, and industrial activities, profoundly impact coastal ecosystems and are often influenced by salinity levels. This study utilizes statistical methods to analyze the complex interplay between TDS, salinity, GWL, and land use in the Kebumen Regency coastal region. By examining data related to TDS, salinity, GWL, and land utilization, this research seeks to contribute valuable insights into the sustainable management of coastal environments. The findings of this study are expected to inform decision-making processes for the benefit of local communities and ecosystems, guiding future policies and practices for the preservation and balanced development of coastal areas in Kebumen Regency

The Land Component LM4.1 of the GFDL Earth System Model ESM4.1: Model Description and Characteristics of Land Surface Climate and Carbon Cycling in the Historical Simulation

AbstractWe describe the baseline model configuration and simulation characteristics of the Geophysical Fluid Dynamics Laboratory (GFDL)'s Land Model version 4.1 (LM4.1), which builds on component and coupled model developments over 2013–2019 for the coupled carbon‐chemistry‐climate Earth System Model Version 4.1 (ESM4.1) simulation as part of the sixth phase of the Coupled Model Intercomparison Project. Analysis of ESM4.1/LM4.1 is focused on biophysical and biogeochemical processes and interactions with climate. Key features include advanced vegetation dynamics and multi‐layer canopy energy and moisture exchanges, daily fire, land use representation, and dynamic atmospheric dust coupling. We compare LM4.1 performance in the GFDL Earth System Model (ESM) configuration ESM4.1 to the previous generation component LM3.0 in the ESM2G configuration. ESM4.1/LM4.1 provides significant improvement in the treatment of ecological processes from GFDL's previous generation models. However, ESM4.1/LM4.1 likely overestimates the influence of land use and land cover change on vegetation characteristics, particularly on pasturelands, as it overestimates the competitiveness of grasses versus trees in the tropics, and as a result, underestimates present‐day biomass and carbon uptake in comparison to observations.

Assessing heavy metal and physiochemical pollution load of Danro River and its management using floating bed remediation

River Danro in Garhwa (India) plays a vital role as a significant source of surface water and a crucial tributary of the North Koel River, ultimately joining the Ganga River Basin. Serving both urban-industrial and rural areas, the region faces challenges, including sand mining near Belchampa Ghat. This study aimed to assess physicochemical and heavy metals pollution at nine sampling locations, utilizing the Overall Index of Pollution (OIP), Nemerow Pollution Index (NPI), and Heavy Metal Pollution Index (HPI). OIP values indicated excellent surface water quality (0.71) in non-monsoon and slight pollution (6.28) in monsoon. NPI ranged from 0.10 to 1.74 in non-monsoon and from 0.22 (clean) to 27.15 (heavily polluted) in monsoon. HPI results suggested groundwater contamination, particularly by lead. Principal component analysis (PCA) and geospatial mapping showed similar outcomes, highlighting the influence of adjacent land use on water quality. Recognizing the significance of the Danro River in sustaining life, livelihoods, and economic growth, the study recommends implementing measures like floating bed remediation and regulatory actions for effective river management. The study acknowledges weaknesses in the current practical assessment methods for water contamination. These weaknesses make it difficult to put plans for cleaning up and controlling contamination into action. Because of this, future research on developing new in-place remediation techniques should focus on creating better ways to measure how effective the cleanup is.

Integrating spatial patterns and driving factors of cultural ecosystem services into territorial spatial governance: A case study of the Horqin Sandy Land with multi-ethnic settlements

Although the spatial patterns of cultural ecosystem services (CES) are often considered in land use management, there is a noticeable disparity in research coverage compared to biophysical ecosystem services (BES). Moreover, there is a lack of research focusing on human perceptions of CES. To address this gap, this study proposed a CES-BES framework that integrates spatial patterns, driving factors of CES, and their interactions with BES, based on the general framework of social and ecological systems. To alleviate the dual pressures of ecological degradation and cultural preservation, this study utilized the constructed CES-BES framework to offer land use recommendations aimed at promoting sustainable development in the Horqin Sandy Land. CES and BES were quantified through a combination of questionnaire surveys, SolVES model and process modeling, including aesthetic, biodiversity, cultural, economic, future, and historical values, as well as net primary productivity, crop production, wind protection, and sand fixation. The results revealed that CES in the Horqin Sandy Land exhibited a discernible pattern of "high in the west and low in the east." Notably, the factors perceived by respondents exerted a more substantial influence on CES than non-perceptual factors. Female respondents showed relatively lower sensitivity to CES overall, but higher sensitivity to biodiversity. Han respondents tended to prioritize biodiversity, while Mongolian respondents were more sensitive to cultural and historical values. Herders exhibited higher sensitivity to biodiversity, while respondents from other occupations showed higher sensitivity to cultural and future values. The influence of land use, topography, and accessibility on different CES was generally similar. All CES showed a positive correlation with elevation, slope, and distance to water, while they showed a negative correlation with distance to roads. Based on the results, the Horqin Sandy Land has been divided into five regions, with development recommendations provided for each region to ensure sustainable development. This study provides a novel perspective and methodological framework for CES supporting territorial spatial governance and land use management, contributing to a more comprehensive understanding of CES.

Spatial and Temporal Dynamics of Ecological Parameters in Various Land Use Types in China during the First 20 Years of the 21st Century

Ecological quality in China has experienced significant improvements due to the interplay of climate change and human activities. Nevertheless, previous studies exploring the trend of ecological parameters have always overlooked the effects of land use types. Therefore, in this study, we explored the spatiotemporal variation in ecological parameters in various land use types and discussed the relationship between ecological parameters and climatic factors in China during the first 20 years of the 21st century. The results show that: (1) The area of grassland and unutilized land decreased, and the area of other land use types increased. (2) Distinct variations in the average, slope, and interval distribution of ecological parameters across various land use types were evident. Particularly significant increases in ecological parameters were observed in cultivated land and forest. (3) The influence of land use and land cover change on ecological parameters was evident. The conversion of cultivated land, forest, and grassland into water bodies, constructive land, and unutilized land resulted in a significant decrease in ecological parameters. (4) The distinct climatic conditions resulted in heightened monthly variations in the ecological parameters. Significant monthly fluctuations in ecological parameters were observed for cultivated land, forest, grassland, and constructed land, while water bodies and unutilized land did not exhibit such variations. (5) The correlation between ecological parameters and climatic factors varied considerably in various land use types in different regions.

The greening of vegetation on the Loess Plateau has resulted in a northward shift of the vegetation greenness line

Vegetation greenness is crucial for assessing vegetation dynamics and evaluating the effectiveness of ecological governance on the Loess Plateau. In this study, we utilized Google Earth Engine (GEE) platform and Landsat image to investigate the spatiotemporal evolution of vegetation greenness and the shift of vegetation greenness lines (VGLs) during the growing season on the Loess Plateau from 1987 to 2020. The driving factors were analyzed using a geographic detector. The results show that the average annual growth rates of NDVI and EVI in the Loess Plateau growing season from 1987 to 2020 were 0.0042/year (P < 0.01) and 0.0023/year (P < 0.01), respectively, with the growth rate after 2000 being three to four times higher. Spatially, significant increases of 78.8% in NDVI and 69.2% in EVI were observed across the entire area of the Loess Plateau. Furthermore, the average VGL based on NDVI and EVI on the Loess Plateau from 1987 to 2020 exhibited a northwestward shift at a rate of 9.79 km/year. This shift resulted in an average movement of 271.83 km over the period. The most significant shifts occurred between 2005 and 2010. Land use and precipitation emerged as the predominant driving factors influencing both the change in vegetation greenness and the shift of the VGLs. Land use and precipitation are the primary factors influencing changes in vegetation greenness and the shift of the VGLs. Land use explains 49.7% of the variation in vegetation greenness, while precipitation accounts for 43%. The combined influence of land use and precipitation explains 68% of the variation in vegetation greenness on the Loess Plateau. Prolonged growing seasons due to climate changes and the “Grain for Green” Project significantly contributed to increased vegetation greenness and northward VGL shifts. Our study offers valuable insights into the spatiotemporal dynamics of vegetation greenness and the shift of VGLs, enhancing our understanding and providing guidance for effective vegetation restoration efforts on the Loess Plateau.

Assessing the influence of land use and land cover data on cyclonic winds and coastal inundation due to tropical cyclones: a case study for the east coast of India

Assessing the influence of land use and land cover data on cyclonic winds and coastal inundation due to tropical cyclones: a case study for the east coast of India

A novel approach to identify priority areas for optimal nutrient management in mixed land-use watersheds through nutrient budget assessment

Excessive nutrient supply in agricultural regions has led to various environmental issues, thereby requiring concentrated management owing to its persistent upward trend. Nutrient budgets (NBs), a vital agricultural environmental indicator, are employed for nutrient management in agricultural areas, using data surveyed by administrative agencies. However, the spatial extent of nutrient data for nutrient budgeting is limited by administrative boundaries according to the surveying organization, posing challenges in interpreting spatial patterns at the watershed level. In this study, a novel approach was developed to identify priority nutrient management areas by applying hot spot spatial analysis to watershed-level NBs, considering hydrological characteristics. This method was applied to approximately 850 subwatersheds across the Republic of Korea, where land cover characteristics are complex. Reassessing nutrient budgets at the watershed scale, accounting for overlapping administrative boundary areas and crop cultivation ratios, indicated similar levels between the two methods. Hot spot analysis revealed that watersheds with elevated NBs mirrored the spatial patterns of livestock excreta and cropland. The spatial distribution characteristics of watersheds with high nutrient levels in rivers corresponded with the concentration characteristics of industrial and commercial areas. Therefore, applying watershed-level NBs based on land cover ratios that consider nutrient input characteristics in agricultural regions is deemed appropriate for selecting priority nutrient management areas. Collectively, this study presents a method for selecting nutrient management priority areas by simultaneously considering the spatial characteristics of various environmental factors, such as land cover, livestock excreta, river water quality, and land area-based watershed-specific NBs. The proposed approach, considering mixed land cover characteristics, is anticipated to be valuable for selecting priority management areas in watersheds with diverse pollution sources. Future research is needed to explore nutrient budgets within watersheds, the influence of land use on pollution sources, and their correlation with water quality.

Environmental impact assessment of direct lithium extraction from brine resources: Global warming potential, land use, water consumption, and charting sustainable scenarios

Direct Lithium Extraction (DLE) has emerged as an alternative that bypasses lengthy evaporation processes to produce lithium from brine sources. This study scrutinizes both direct and indirect environmental impacts of DLE, specifically focusing on global warming, land use, and water consumption in Clayton Valley, Nevada. It was compared to traditional brine and hard rock extraction methods. The DLE method is closely tied to energy usage, and this study has explored various scenarios for power sources. The TRACI, ReCiPe, and AWARE methods of life cycle assessment were employed to evaluate the environmental footprint, indirect land use, and water footprint of lithium production from various sources. According to the study, producing one ton of lithium carbonate using the DLE method showed distinct emissions profiles. Specifically, when electricity was sourced from a diesel generator, the Nevada grid, or solar panels, the emissions totaled approximately 22, 17.3, and 7.6 tons of CO2eq, respectively. Switching power sources goes beyond affecting greenhouse gas emissions; it also influences land use impacts and individual water consumption, as evaluated in this study. The direct land use for DLE is as follows: 16, 493, 182, and 659 m²/ton of Lithium Carbonate Equivalent (LCE) for processing plant, processing plant, well field, processing plant, solar panel area, and all regions required with solar panels, respectively. In assessing the water footprint, the study determined varying water deprivation potentials depending on the electricity source utilized: 3.7 m³eq/kg of LCE with a diesel generator, 9.5 m³eq/kg of LCE with the Nevada grid, and 4.2 m³eq/kg of LCE with solar panels.

Toxicity of urban stormwater on Chlorella pyrenoidosa: Implications for reuse safety

Urban stormwater is an alternative water source used to mitigate water resource shortages, and ensuring the safety of stormwater reuse is essential. An in-depth understanding of both individual pollutant concentrations/loads in stormwater and holistic stormwater quality can be used to comprehensively evaluate how safely stormwater can be reused. The toxicity test takes all pollutants present in water samples into account, and the results reflect the integrated effect of these pollutants. In this study, the influence of urban stormwater sourced from different land uses on microalgae (Chlorella pyrenoidosa) and the possible toxicity mechanisms were investigated. The results showed that urban stormwater, particularly residential road stormwater, significantly inhibited microalgal growth. The chlorophyll contents of microalgae exposed to residential road stormwater were relatively lower, while the corresponding values were relatively higher for microalgae exposed to grassland road stormwater. Additionally, the antioxidant-related metabolism of microalgae could be dysregulated due to exposure to urban stormwater. A possible toxicity mechanism is that urban stormwater influences metabolic pathways related to chlorophyll synthesis and further hinders photosynthesis and hence microalgal growth. To resist oxidative stress and maintain regular microalgal cell activities, the ribosome metabolism pathway was upregulated. The research results contribute to elucidating the toxicity effects of urban stormwater and hence provide useful insight for ensuring the safety of stormwater reuse. It is also worth noting that the study outcomes can only represent the influence of land use on stormwater toxicity, while the impacts of other factors (particularly rainfall-runoff characteristics) have not been considered. Therefore, the consideration of all influential factors of stormwater is strongly recommended to generate more robust results in the future and provide more effective guidance for real practices related to stormwater reuse safety.

Research on cultural diversity and sustainable land-use management assessment model

This study quantitatively evaluated the role of cultural diversity and psychological awareness in sustainable land-use management (SLUM). Firstly, an assessment model based on fuzzy analytic hierarchy process is established by combining fuzzy logic, expert knowledge and analytic hier-archy process. The model addresses the uncertainty of qualitative assessment and adapts to dy-namic environments and complex human behavior. The research process included a literature review and expert consultation to identify key factors influencing land use and assign weights to these factors through FAHP. Subsequently, FAHP determined that cultural diversity had the highest weight among all considerations, indicating the urgent need to respect and integrate local cultural diversity in land management. Psychological awareness follows closely, suggesting that land-use decisions are profoundly influenced not only by tangible economic and environmental conditions, but also by the psychological states, knowledge levels, value systems, and social perceptions of groups and individuals. These findings highlight the need to consider and integrate these intangible factors when developing land management strategies. This approach fosters broad social acceptance and participation, ultimately moving towards the long-term goal of sustainable land use. Finally, the study provides decision-makers with a tool for identifying subtle differences at the cultural and psychological levels that can help develop more nuanced and personalized management options for different land use strategies.

A framework to quantitatively assess the influence of land use and land cover on coastal wetland hydrological connectivity from a landscape resistance perspective

Land use and land cover (LULC) change is one of the dominant factors contributing to coastal wetland degradation and loss. Most studies focused on LULC changes or whether they influenced on ecosystems. However, few studies quantitatively assessed the impact of different LULCs on hydrological connectivity. This study aimed to understand how LULC affected hydrological connectivity in the coastal wetlands in the Yellow River Delta (YRD), China, from 1985 to 2020. A framework from a landscape resistance perspective was used to evaluate the LULC's influence. LULCs were converted into a series of resistance surfaces whose values represent the degree to which LULC facilitated or restricted hydrological connectivity. The LULC's influence was evaluated by parameterizing the resistance surfaces using observed hydrological connectivity. The results showed that human-related LULC had more influence on hydrological connectivity. The critical time of LULC's influence on hydrological connectivity was 1985–1990 and 2010–2015. The critical areas were Zone II, Zone I, and Zone VI. The LULCs of agriculture, industry, town/city, and river had the most significant impact on the hydrological connectivity of the YRD coastal wetland. The result could direct LULC planning to mitigate the negative effect on coastal wetlands and provide support for the environmental impact assessment of coastal development practices. This paper advances the study by assessing LULCs' impact on hydrological connectivity and providing a quantitative method. The framework of this study enriches the coastal wetland conservation theory and policy-making of coastal management.

Inter and transdisciplinarity strategies for evaluating and improving water quality monitoring systems: Uruguay as a study case

Developing robust systems for monitoring and evaluating water quality is crucial for assessing ecosystem integrity and the impacts of human activities on nature. It also enables the assessment of water management effectiveness, governance systems, and the design and evaluation of public policies. However, designing such monitoring programs is complex due to multiple constraints like eco-hydrological knowledge, economic resources, human capital availability, and governance dynamics. This study combines quantitative and qualitative analyses (virtual watershed methodologies, empirical modeling, and theoretical frameworks of water governance) to evaluate the robustness of water quality monitoring systems and identify strengthening alternatives (including institutional design and public policy). The inter and transdisciplinary strategy is tested in the evaluation of eutrophication processes in Uruguay. Major spatial patterns of water quality at a national scale were identified, highlighting the influence of land use, soil types, point sources of pollution, and livestock on nitrogen and phosphorus concentrations. Current monitoring efforts and spatial coverage fall short of adequately addressing water management needs, especially in Uruguay's socio-economic context. Based on the weaknesses identified, an increase in the number of stations (and their spatial distribution) is proposed to have a better representation of biogeophysical and socio-economic conditions diversity. The challenge involves an important transformation (i.e. establishing a network system of public institutional nodes at national and regional levels) due to the country's centralism, fragmented water governance system, and scarce economic assets.

Will you ride the train? A combined home-work spatial segmentation approach

While the influence of land use and transport networks on travel behavior is known, few studies have jointly examined the effects of home and work location characteristics when modelling travel behavior. In this study, a two-step approach is proposed to investigate the combined effect of home and work location characteristics on the intent to use a new public transport service. Using data from the 2019 Montreal Mobility Survey (n=1698), this study examines the intent to use the Réseau Express Métropolitain (REM), a light rail under construction in Montreal, for commuting. A segmentation analysis is first conducted to characterize commuters based on their home and work location characteristics, resulting in six distinct home-work clusters. The clusters are then included in an ordered logistic regression modelling the intent to use the REM, along with socio-economic and attitudinal characteristics. Results from a dominance analysis reveal that the clusters are the third most important determinants of the intent to use the REM, even when controlling for individual characteristics. The addition of the clusters leads to a significant improvement of the model (likelihood of -2388.9 improved from -2400.7, p-value &lt; 0,05). All other clusters have a significantly lower probability (between 32 and 51% less likely) of intent to use the REM than the typical commuters (who commute from the suburbs to downtown, often by transit), at a 95% confidence interval. These findings underscore the implications of pursuing radial public-transport networks, illustrating the ability of the proposed approach to identify which groups are likely to benefit from a public-transport project and to propose recommendations anchored in joint home and work location patterns.

Assessing the Influence of Land Use and Land Cover (LULC) Changes on Hydrological Response of the Timah-Tasoh Reservoir

Changing patterns in land use and land cover (LULC) is potentially due to development pressure. Due to the increase in LULC change, it alters natural ecosystems and changing the composition of the natural ecosystem services. This study provides evidence to support the hypothesis that LULC can influence both inflow and discharge. The objectives of the study were to measure the impact of LULC change on inflow of the Timah-Tasoh reservoir. The study area land cover was reclassified into five categories which included agriculture, built-up areas, forest, vacant land, and water bodies. Based on the effect of LULC on hydrological response, it is observed that the catchment is not sensitive to changes in LULC. Two mains of LULC scenarios were used including deforestation and afforestation. With an increase in CN to 89.26 (deforestation), the inflow rate increases by 2% (342.20 m3/s) compared to the present inflow rate. Meanwhile, the inflow rate will decrease to 0.21% (334.80 m3/s) if the CN value is 80.02 (afforestation). Thus, by using this study’s results, a better method and parameters compatible with another hydrological modelling can be developed for future study.

THEORETICAL ASPECTS OF AGRICULTURAL SPECIALIZATION AND ITS IMPACT ON LAND USE EFFICIENCY

Agricultural specialization is a key strategyemployed by farmers to increase production efficiency and optimize resources. By focusing on a specific crop or livestock, farmers can benefit from economies of scale, specialized knowledge, and increased productivity. However, the impact of specialization on land use efficiency is a topic of interest and debate in the field of agriculture. This research aims to explore the relationship between agricultural specialization and land use efficiency, examining the advantages and challenges associated with thispractice. By analyzing data and studies on the subject, this study seeks to provide insights into how specialization can influence land use efficiency and offer recommendations for improving sustainable land management practices in agriculture.

The Influence of Agricultural Land Use on the Drivers of Peri-Urban Settlement Formation in Highland Landscapes: a Case Study in the Kayumas Village

The Peri-Urban as part of the urban spatial structure, plays a crucial role in creating urban space. In Situbondo, the characteristics of the Peri-Urban consist of mixed urban and peri-urban land use areas, with agriculture dominating the land use. One of the livelihoods in the Peri-Urban is agriculture. Variables in this study involve elements of settlement morphology, factors influencing the formation of morphology and agriculture, and various other indicators related to these variables. This paper aims to examine the characteristics of agriculture areas and identify factors influencing the formation of peri-urban settlements. This research can provide references to optimize land use in peri-urban settlements. In this study, the researcher employs both qualitative and quantitative methods. Data collection involves recording events that occur in the field during interviews and observations to obtain accurate and reliable research results. The data will be processed using SPSS and ArcGIS 10.8.2 to obtain relevant, supportive accurate, and comprehensive results. From the findings of this research, it is expected that peri-urban settlements require more attention to enhance the environment and public services. In response to the consumption-oriented needs of urban communities, Peri-Urban farmers have intensified the use of multifunctional land activities. However, not all multifunctional opportunities are fully developed, considering the farming activities conducted near the city. This can be an innovative characteristic of land use in the Situbondo Peri-Urban area, indicating that agriculture is a priority land use in the region by improving the quality of harmonious relationships between urban and peri-urban areas through agriculture activities

Saltwater Intrusion and Agricultural Land Use Change in Nga Nam, Soc Trang, Vietnam

Under the effects of saltwater intrusion from rising sea water levels, climate change, and socioeconomic issues, the Nga Nam district in Vietnam has suffered damage to its agriculture and changes in agricultural land use. This study aimed to investigate the factors that influenced land use changes and to propose approaches to limit the changes in agricultural land use. The damage caused by saltwater intrusion on agricultural production was evaluated via the use of secondary data collected from the Department of Infrastructure Economics of the Nga Nam district in the period of 2010–2021. The results show that during the 2010–2015 period, agricultural production areas were affected in 2010, 2012, and 2015. In the period of 2015–2021, the trend of saltwater intrusion along the damaged area remarkably decreased due to the work of saltwater-preventing structures. In this period, the area of annual plants increased, while that of fruit trees decreased. In the area comprising annual plants, the area using the triple rice land use type converted into an area using the double rice and double rice–fish ones. Lands for fruit trees transitioned from mixed farming to specialized farming to raise the economic efficiency for farmers. These changes were affected by four main factors: the physical factor, the economy, society, and the environment. The environmental and economic factors were seen to play the most important role as drivers of changes in land use. The factors of saltwater intrusion and acid-sulfate-contaminated soil, consumer markets, floods, drought, profit, and investments were noted to be significant drivers in agricultural land use change. Thus, both structural and non-structural approaches are suggested to inhibit the safeguard changes in the future.

Influence of Land use and Traffic on Road Safety Along Jimeta Bypass

Many roads in some urban areas in developing countries, such as Nigeria, are characterized by a high level of traffic and, because of limited resources, receive inadequate forms of protection and inappropriate maintenance strategies. Some of the roads have become part of a landfill dump embankment, which cause defects that contribute to road accidents. The study sought to investigate the effect of land use and traffic on road safety along the Jimeta Bypass Road. Vehicle enumeration was carried out by manual counting. Road traffic accident data for the analysis was obtained from the Federal Road Safety Commission in Yola. Physical inspection of the pavement section revealed that it was in an unsuitable condition for riding and safety. The findings also revealed that the road pavement had an annual average daily traffic volume of about 1470 vehicles per day, with tricycles having the highest traffic volume and luxurious buses having the lowest traffic volume. Analysis of variance showed that there was no significant variation in traffic volume between periods (morning, afternoon, and evening); traffic only differs between vehicle types. Accident data collected was found to highly correlate with traffic volume, an indicator that the high traffic volume along the Jimeta Bypass Road could be responsible for the occurrence of road traffic crashes along the road. The study findings also indicate there is need to adopt the maintenance culture by Road Authorities and relevant stakeholders so as to address the failure condition at the onset.

Analyzing housing supply location choice: a comparative study of the modelling frameworks.

The purpose of this study is to predict the location of new housing supply and compare two different modelling frameworks. Housing supply significantly influences land use simulations in urban microsimulation systems, closely linked with demographic, transportation, and environmental modules. The supply of new dwellings in urban simulation models have evolved from static, exogenous inputs to dynamic, agent-based determinations. This study follows this trend to examine two approaches to modelling the spatial distribution of new housing supply: the first approach models the development choice of each location; the second approach models the location choice of each residential project. Multinomial logit and nested logit models are applied to a Toronto empirical dataset. The results show that although the first approach achieves higher goodness-of-fit and prediction accuracy, the second approach performs better in explaining the locational preference of individual projects. Project characteristics such as structure type and construction cost, as well as location characteristics such as housing price, number of sales, and population density affect the spatial distribution of new housing supply. Both approaches are evaluated regarding estimation, prediction, and microsimulation system integration. The findings enhance housing modelling literature and inform urban microsimulation's housing supply model configuration.