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When Japan's asset bubble burst, the office vacancy rate soared sharply. This study seeks to target the office market in Tokyo's 23 special wards during Japan's bubble burst period. It aims to define economic conditions for the redevelopment/conversion of offices into housing and estimate the redevelopment/conversion probability under the conditions.

The precondition for land‐use conversion is that subsequent profit excluding destruction and reconstruction costs is estimated to increase from the present level for existing buildings. Regarding hedonic functions for offices and housing and computed profit gaps for approximately 40,000 buildings used for offices in 1991, it was projected how the profit gaps would influence the land‐use conversion probability. Specifically, panel data for two time points in the 1990s were used to examine the significance of redevelopment/conversion conditions.

It was found that, if random effects are used to control for individual characteristics of buildings, the redevelopment probability rises significantly when profit from land after redevelopment is expected to exceed that from present land uses. This increase is larger in the central part of a city.

Limitations stem from the nature of Japanese data limited to the conversion of offices into housing. In the future, a model may be developed to generalize land‐use conversion conditions.

This is the first study to specify the process of land‐use adjustments that emerged during the bubble burst. This is also the first empirical study using panel data to analyze conditions for redevelopment.

This paper aims to assess the rate and land category contributing to the changes in seven land-uses in the Kintampo North Municipality of Ghana and the effect of the decisions of land users on future landscapes.

LANDSAT images were classified to generate land use/cover maps to detect changes that had occurred between 1986 and 2014. In total, 120 farmers were also interviewed to determine their perceptions on land use changes. Interval, category and transition levels of changes were determined. Savanna woodland, settlement and forest were mostly converted to farmland in both intervals (1986-2001 and 2001-2014).

Results showed that rock outcrop, plantation, cropland and savanna woodland increased at an annual rate of 13.86, 1.57, 0.82 and 0.33 per cent, respectively, whilst forest, settlement and water body decreased at 4.90, 1.84 and 1.17 per cent annual rate of change, respectively. Approximately, 74 per cent of farmers will not change land use in the future, while 84.2 per cent plan to increase farm sizes.

The study shows that more land cover will be targeted for conversion as farmers expand their farmlands. There is the need for strict implementation of appropriate land use/cover policies to sustain food production in the region in this era of changing climate and population increase.

This research assessed the land use changes in the Kintampo North Municipality and its impacts on agriculture and carbon stocks release via land use changes. It identified how the decisions of the local farmers on land management will affect future landscape.

Varanasi, an ancient city has witnessed the conversion of forest into agricultural lands. The high urbanization rate along with affluent lifestyle is adding another category of land use, i.e. landfill. Such land use changes significantly affect the fluxes of greenhouse gases (GHGs) from soil thus contributing to global warming. The purpose of this paper is to quantify the global warming potential (GWP) of the three land uses in Varanasi city taking into consideration CH₄ and CO₂.The paper also highlights the land use pattern of Varanasi.

Sites representing land uses under forest, agriculture and landfill were identified in and around the city and measurements of GHG fluxes were conducted periodically using closed static chambers. The GWP from each land use was calculated using the standard formula of IPCC (2007).

Landfill was found to be the land use with the highest GWP followed by agriculture. GWP from forest was negative. The study indicated that conversion of natural ecosystems into man made ecosystems contributed significantly to GHGs emissions.

The present research is a seasonal study with inherent uncertainties. To reduce the uncertainties long-term monitoring covering wider spatial area is required.

The sustainable use of land along with the increment of forest cover will not only reduce the contribution in GHGs emission, but will also increase the carbon sequestrations thus limiting the implication of climate change.

This study is the first of its kind comparing the soil borne emissions from three different land uses in a rapidly urbanizing ancient city, suggesting if there is rapid conversion of forested land into other two land uses there will be considerable increase in global warming. No similar studies could be found in the literature.

There are some environmentally critical areas (ECAs) in cities such as flood flow areas, agricultural land, canals, rivers, water bodies, forests and hills that need to be conserved from land transformation. The purpose of this paper is to review the compliance, challenges and significance of urban planning, and to develop a contextual framework of urban planning for environmental area conservation to improve the urban environment in case study city Dhaka, the capital of Bangladesh.

This research is based on a qualitative thematic analysis of the available relevant literature.

This research identified non-compliance of the contemporary urban plans such as indiscriminate land conversion activities in the ECAs. Conflicting interests between the urban plans concerning protection of the conservation areas and business interests of the community people and the real estate development companies are identified as the major challenges. Dhaka faces several environmental problems such as loss of biodiversity and ecosystem, waterlogging, flooding, pollution, reduction of vegetation, groundwater depletion, temperature increase and a reduction in agriculture and fishing because of land conversion in the ECAs.

Urban planning with effective conservation area management, conflict resolution through communication and participation, creation of economic opportunity to generate income from the ECAs and assessment of the conservation strategies and interventions might ensure environmental conservation in Dhaka.

The conceptual framework of urban planning for environmental conservation is innovative as this could be a basis for other cities in Bangladesh and in other developing countries.

The purpose of the study is to analyze changes in land use, specifically residential area expansion, in South Tangerang City and identify the factors that influence land use change.

The study used remote sensing methods in ArcGIS 10.8 for data analysis and processing, including spatial analysis and identification of land use changes. The study analyzed satellite images from 2010 and 2020 to identify changes in land use in South Tangerang City over the ten-year period.

The study found that the most significant land use changes in South Tangerang City between 2010 and 2020 were the reduction of mixed plantation area and the expansion of residential areas. The study identified the development of small townships by private developers as the main factor that influenced land use change in South Tangerang City.

The study has several limitations, including a focus on only one aspect of land use change (i.e. residential area expansion), limited scope of the study area (South Tangerang City) and a reliance on remote sensing methods for data analysis.

The findings of the study can be used by policymakers and city planners to develop sustainable land use planning strategies that balance the need for urban development with environmental and social concerns. By understanding the factors that drive land use changes in South Tangerang City, policymakers can develop policies that encourage sustainable urban growth and development while preserving natural resources and protecting the environment.

The study has social implications as the expansion of residential areas in South Tangerang City indicates a growing demand for housing in the area. The study highlights the importance of developing affordable and sustainable housing solutions to meet the needs of the growing population in South Tangerang City. Additionally, the study emphasizes the importance of understanding the social and economic factors that drive land use change and their implications for the well-being of local communities.

The residential area development in South Tangerang City is driven by private developers who make small independent cities that have all facilities in one area. These small cities attract people to reside and also drive high population growth in South Tangerang City, considering it is a buffer city of Jakarta that has good infrastructure development.

The purpose of this paper is to construct option pricing models for real estate development by considering and incorporating institutional arrangements, direct interactions and financial constraints in the model. It extends the application of real option theory from the framework borrowed from financial option pricing, and considers the case where a development company has restrictions from outside environment and financial constraint. It explores the effects of these additional practical factors on real asset project value and development timing. This paper makes contributions to bridge the theoretical models and practical applications.

Real estate development is modelled in the binomial option pricing framework with the considerations of time‐to‐build, foregone rent if delaying, institutional environment and capital budgeting. The investment timings are derived from the models and sensitivity analysis is conducted to explore the effects of these factors.

Apart from the factors in traditional option pricing theory, this paper confirms that the contractual covenants, positive synergies between properties and financial status of the firm, which enhance or restrict real flexibility embedded in the development land, influence project value and investment timing. Numerical examples illustrate the effects of these factors. It is argued that the valuation of real options should place emphasis on industry‐specific characteristics and start from the perspective of the firm rather than individual options.

The models constructed in this paper and the results can be directly used in the practical real estate development.

This paper incorporates many practical factors in real estate development which are not investigated in previous studies. It values the option project from the firm perspective rather than project perspective as previous studies. It also shows the effects of institutional arrangement and firm factors on project value and development timing.

The comparative study between urban regions gathered by the 2010 National Project of Relevant Interest financed by the Italian Ministry of Education, University and Research (MIUR – PRIN 2010) re-opened, in Italy, the debate on regional comparison of data, especially the ones of land use monitoring, which are difficult to collect, and to compare. The purpose of this paper is to illustrate some results of comparative studies based on regional and national data sets of land use indicators. Further considerations of land use change (LUC) assessment and its effect on environmental policies extended to the whole metropolitan area of Milan are outlined.

The adopted methodology collects different types of information from the existent databases on land uses/land covers (national/regional) and presents an assessment between the selected case of studies (urban regions), leading a shift from a quantitative evaluation to a qualitative one. A comparative study was conducted applying a geographical and statistical difference of land uses among different time thresholds. Subsequently, a cross-tabulation analysis allows an in-depth LUC analysis for the Milan urban region.

The results of the study display an autonomous pattern for the Milan urban region, which is the most densely populated area in Italy and seems to be the only comparable to other international cases of studies due to its extension and characteristics. Nevertheless, it is not the urban region that is affected by the highest rate of land take, which takes place in the Italian context where densities of settlements are lower and sprawled. According to Soja’s (2011) interpretation, the post-metropolitan condition of Milan seems to be proved.

The study was aimed at creating the first online National Atlas which has been used to overcome traditional problems of homogenization of LUC data in Italy. The quantification and qualification of LUC patterns allow us to understand if, and where, post-metropolis condition occurs. This research gives a clear indication of the kind of ongoing phenomena for policy orientation to planners and administrators, especially the one of the green infrastructure approach at the city-region level to solving the emerging environmental challenges.

The purpose of this paper is to provide the extensive review on dynamic monitoring of forestry area in China.

Countermeasure and suggestions were proposed for three aspects including the establishment of data sets with unified standards, top-level design of monitoring and assessment and analysis models, and establishment of the decision support platform with multiple scenario simulation.

Finally, the authors proposed key research area in this field, i.e., improving the systematic and optimal forest management through integrating and improving the data, models and simulation platforms and coupling the data integration system, assessment system and decision support system.

The authors explored the limitation of dynamic monitoring and state of the art research on data accumulation, professional model development and the analytical platform.

The purpose of this study is to analyze the horizontal expansion of Burayu Town between 1990 and 2020. The study typically acts as a baseline for integrated spatial planning in small- and medium-sized towns, which will help to plan sustainable utilization of land.

Landsat5-TM, Landsat7 ETM+, Landsat5 TM and Landsat8 OLI were used in the study, along with other auxiliary data. The LULC map classifications were generated using the Random Forest Package from the Comprehensive R Archive Network. Post-classification, spatial metrics, and per capita land consumption rate were used to understand the manner and rate of expansion of Burayu Town. Focus group discussions and key informant interviews were also used to validate land use classes through triangulation.

The study found that the built-up area was the most dynamic LULC category (85.1%) as it increased by over 4,000 ha between 1990 and 2020. Furthermore, population increase did not result in density increase as per capita land consumption increased from 0.024 to 0.040 during the same period.

As a result of financial limitations, there were no high-resolution satellite images available, making it challenging to pinpoint the truth as it is on the ground. Including senior citizens in the study region allowed this study to overcome these restrictions and detect every type of land use and cover.

Data on urban growth are useful for planning land uses, estimating growth rates and advising the government on how best to use land. This can be achieved by monitoring and reviewing development plans using satellite imaging data and GIS tools.

The use of Random Forest for image classification and the employment of local knowledge to validate the accuracy of land cover classification is a novel approach to properly customize remote sensing applications.