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The rapid urbanization worldwide has brought various environmental problems. The urban heat island (UHI) phenomenon is one of the most concerning issues because of its strong relation with daily lives. Water bodies are generally considered a vital resource to relieve the UHI. In this context, it is critical to develop a method for measuring the cooling effect and scale of water bodies in urban areas. In this study, West Lake and Xuanwu Lake, two famous natural inner-city lakes, are selected as the measuring targets. The scatter plot and multiple linear regression model were employed to detect the relationship between the distance to the lake and land surface temperature based on Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) and Sentinel-2 data. The results show that West Lake and Xuanwu Lake massively reduced the land surface temperature within a few hundred meters (471 m for West Lake and 336 m for Xuanwu Lake) and have potential cooling effects within thousands of meters (2900 m for West Lake and 3700 m for Xuanwu Lake). The results provide insights for urban planners to manage tradeoffs between the large lake design in urban areas and the cooling effect demands.
Yaoyao Zheng; Yao Li; Hao Hou; Yuji Murayama; Ruci Wang; Tangao Hu. Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing. Remote Sensing 2021, 13, 1526 .
AMA StyleYaoyao Zheng, Yao Li, Hao Hou, Yuji Murayama, Ruci Wang, Tangao Hu. Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing. Remote Sensing. 2021; 13 (8):1526.
Chicago/Turabian StyleYaoyao Zheng; Yao Li; Hao Hou; Yuji Murayama; Ruci Wang; Tangao Hu. 2021. "Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing." Remote Sensing 13, no. 8: 1526.
This study examined neighborhood dynamics of urban expansion based on morphological spatial pattern analysis (MSPA) and geospatial techniques in the Colombo Metropolitan Area (CMA) of Sri Lanka from 1992 to 2014. Traditionally, urban expansion has been detected using absolute land use/cover (LULC) terms and landscape patterns (i.e. urban and non-urban). However, non-traditional characterization of urban expansion with neighborhood rules provides a better understanding of urban transformation which is essential to urban planners and managers. This study therefore used MSPA of Landsat images (1992, 2001 and 2014) to classify and detect the expansion of urban land uses based on neighborhood rules. Urban expansion intensity and topologies (infill, extension, and leapfrog) were also employed for further analysis. The results show that the CMA experienced rapid urban expansion, recording a 288% increase in the total urban footprint from 1992 to 2014. The annual urban expansion intensity was higher during the 2000s (1.45%) than during the 1990s (0.95%). Urban expansion topological analysis revealed that leapfrog was the most dominant pattern throughout the study’s temporal extent. An outward infill expansion from the city center was observed, while urban extension exhibited a ribbon-type development along the main transport corridors and coastal belts. The patterns and intensity of urban expansion in the CMA are directly linked to the economic, demographics, and political changes in Sri Lanka. Overall, the study provides an improved understanding of urban expansion in the CMA and offers directions that could be considered in future urban planning initiatives.
Shyamantha Subasinghe; Ruci Wang; Matamyo Simwanda; Yuji Murayama; Lidia Lazarova Vitanova. Neighborhood dynamics of urban expansion based on morphological spatial pattern analysis and geospatial techniques: a case study of the Colombo metropolitan area, Sri Lanka. Asian Geographer 2021, 1 -21.
AMA StyleShyamantha Subasinghe, Ruci Wang, Matamyo Simwanda, Yuji Murayama, Lidia Lazarova Vitanova. Neighborhood dynamics of urban expansion based on morphological spatial pattern analysis and geospatial techniques: a case study of the Colombo metropolitan area, Sri Lanka. Asian Geographer. 2021; ():1-21.
Chicago/Turabian StyleShyamantha Subasinghe; Ruci Wang; Matamyo Simwanda; Yuji Murayama; Lidia Lazarova Vitanova. 2021. "Neighborhood dynamics of urban expansion based on morphological spatial pattern analysis and geospatial techniques: a case study of the Colombo metropolitan area, Sri Lanka." Asian Geographer , no. : 1-21.
In the past two decades, urbanization has been accelerating worldwide. The rapid increase in population has negatively impacted the urban environment and the quality of life. Today, as a result of rapid economic growth and urban development, many cities suffer from numerous problems such as traffic congestion, noise, air and water pollution, etc. With such conditions worsening, various scenario simulation analyses have been conducted to predict future urbanization to aid the management of sustainable urban development. This paper examines research trends and the usefulness of urban scenario modeling by conducting an extensive survey of articles on urban land-use scenario simulations. We discuss the advantages and limitations of urban scenario analyses via a systematic and quantitative review. The focus is on global planning designs, urban planners, and politicians who should draw up suitable frameworks to implement sustainable urban development policies. We conclude that sophisticated scenario modeling could help achieve Sustainable Development Goals (SDGs).
Ruci Wang; Yuji Murayama; Takehiro Morimoto. Scenario simulation studies of urban development using remote sensing and GIS: review. Remote Sensing Applications: Society and Environment 2021, 22, 100474 .
AMA StyleRuci Wang, Yuji Murayama, Takehiro Morimoto. Scenario simulation studies of urban development using remote sensing and GIS: review. Remote Sensing Applications: Society and Environment. 2021; 22 ():100474.
Chicago/Turabian StyleRuci Wang; Yuji Murayama; Takehiro Morimoto. 2021. "Scenario simulation studies of urban development using remote sensing and GIS: review." Remote Sensing Applications: Society and Environment 22, no. : 100474.
Land surface temperature (LST) is receiving increasing attention as a measure of urban health and sustainable development. With rapid urbanization and industrialization, the urban heat island phenomenon, which causes excessive energy consumption and climatic and environmental deterioration, has become prevalent in many cities. It is well known that optimizing land use/cover (LUC) distribution can reduce the urban heat island phenomenon. Therefore, monitoring land use and land cover changes and analyzing their effects on LST is crucial for healthy urban development. In this study, an attempt is made to examine LST and LUC changes in Sapporo, Japan. Using Landsat data, we attempted to analyze the LST in each LUC category from 1985 to 2015. The results show that: (1) LUC types and spatial distribution have great influences on LST, (2) expanding development has been the most significant factor affecting urban heat island phenomenon over the past 30 years, and (3) green space and water areas have helped cool the city. This study revealed a strong relationship between LUC distribution and LST, opening research avenues for future LUC simulation. Our analysis not only contributes to urban health and sustainable development but also provides significant insights into the promotion of city competence.
Ruci Wang; Yuji Murayama. Geo-simulation of land use/cover scenarios and impacts on land surface temperature in Sapporo, Japan. Sustainable Cities and Society 2020, 63, 102432 .
AMA StyleRuci Wang, Yuji Murayama. Geo-simulation of land use/cover scenarios and impacts on land surface temperature in Sapporo, Japan. Sustainable Cities and Society. 2020; 63 ():102432.
Chicago/Turabian StyleRuci Wang; Yuji Murayama. 2020. "Geo-simulation of land use/cover scenarios and impacts on land surface temperature in Sapporo, Japan." Sustainable Cities and Society 63, no. : 102432.
Rapid urbanization is one of the most concerning issues in the 21st century because of its significant impacts on various fields, including agriculture, forestry, ecology, and climate. The urban heat island (UHI) phenomenon, highly related to the rapid urbanization, has attracted considerable attention from both academic scholars and governmental policymakers because of its direct influence on citizens’ daily life. Land surface temperature (LST) is a widely used indicator to assess the intensity of UHI significantly affected by the local land use/cover (LULC). In this study, we used the Landsat time-series data to derive the LULC composition and LST distribution maps of Nanjing in 2000, 2014, and 2018. A correlation analysis was carried out to check the relationship between LST and the density of each class of LULC. We found out that cropland and forest in Nanjing are helping to cool the city with different degrees of cooling effects depending on the location and LULC composition. Then, a Cellar Automata (CA)-Markov model was applied to predict the LULC conditions of Nanjing in 2030 and 2050. Based on the simulated LULC maps and the relationship between LST and LULC, we delineated high- and moderate-LST related risk areas in the city of Nanjing. Our findings are valuable for the local government to reorganize the future development zones in a way to control the urban climate environment and to keep a healthy social life within the city.
Ruci Wang; Hao Hou; Yuji Murayama; Ahmed Derdouri. Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China. Remote Sensing 2020, 12, 440 .
AMA StyleRuci Wang, Hao Hou, Yuji Murayama, Ahmed Derdouri. Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China. Remote Sensing. 2020; 12 (3):440.
Chicago/Turabian StyleRuci Wang; Hao Hou; Yuji Murayama; Ahmed Derdouri. 2020. "Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China." Remote Sensing 12, no. 3: 440.
China is undergoing rapid urbanization, which has brought great pressure on croplands throughout the country, especially in fast developing cities, such as Hangzhou. In this study, an attempt was made to monitor and model the cropland dynamics of Hangzhou from 1990 to 2035. The spatial-temporal changes in the cropland were discussed based on the land cover maps along with urban-rural gradient analysis. After understanding the spatial-temporal patterns of cropland changes, the cellular automata-Markov model was employed using the historical land cover maps and other explanatory data to perform a scenario-based simulation. Accordingly, three scenarios, namely spontaneous scenario (SS), protected area ensuring scenario (PAES), and optimal agriculture developing scenario (OADS), were designed for simulating the cropland distribution in 2035. The monitoring results showed that during 1990–2015, the cropland area decreased 1512.46 km2 under rapid urbanization. Areas at a distance of 12 km from the city center experienced maximum cropland loss. Among all the spatial metrics, aggregation index of the cropland exhibited the highest correlation with the distance to the city center (r = 0.77 in 2015), thereby suggesting an obvious trend in aggregation along the urban-rural gradient. The modelling results reported that under PAES and OADS, the study area could gain 81.76 km2 and 255.14 km2 more cropland, respectively, than that under SS in 2035. Thus, policies applied in PAES and OADS would be effective for cropland protection.
Hao Hou; Ruci Wang; Yuji Murayama. Scenario-based modelling for urban sustainability focusing on changes in cropland under rapid urbanization: A case study of Hangzhou from 1990 to 2035. Science of The Total Environment 2019, 661, 422 -431.
AMA StyleHao Hou, Ruci Wang, Yuji Murayama. Scenario-based modelling for urban sustainability focusing on changes in cropland under rapid urbanization: A case study of Hangzhou from 1990 to 2035. Science of The Total Environment. 2019; 661 ():422-431.
Chicago/Turabian StyleHao Hou; Ruci Wang; Yuji Murayama. 2019. "Scenario-based modelling for urban sustainability focusing on changes in cropland under rapid urbanization: A case study of Hangzhou from 1990 to 2035." Science of The Total Environment 661, no. : 422-431.
Rapid urbanization is occurring throughout China, especially in megacities. Using a land use model to obtain future land use/cover conditions is an essential method to prevent chaotic urban sprawl and imbalanced development. This study utilized historical Landsat images to create land use/cover maps to predict the land use/cover changes of Tianjin city in 2025 and 2035. The cellular automata–Markov (CA–Markov) model was applied in the simulation under three scenarios: the environmental protection scenario (EPS), crop protection scenario (CPS), and spontaneous scenario (SS). The model achieved a kappa value of 86.6% with a figure of merit (FoM) of 12.18% when compared to the empirical land use/cover map in 2015. The results showed that the occupation of built-up areas increased from 29.13% in 2015 to 38.68% (EPS), 36.18% (CPS), and 47.94% (SS) in 2035. In this context, current urbanization would bring unprecedented stress on agricultural resources and forest ecosystems, which could be attenuated by implementing protection policies along with decelerating urban expansion. The findings provide valuable information for urban planners to achieve sustainable development goals.
Ruci Wang; Hao Hou; Yuji Murayama. Scenario-Based Simulation of Tianjin City Using a Cellular Automata–Markov Model. Sustainability 2018, 10, 2633 .
AMA StyleRuci Wang, Hao Hou, Yuji Murayama. Scenario-Based Simulation of Tianjin City Using a Cellular Automata–Markov Model. Sustainability. 2018; 10 (8):2633.
Chicago/Turabian StyleRuci Wang; Hao Hou; Yuji Murayama. 2018. "Scenario-Based Simulation of Tianjin City Using a Cellular Automata–Markov Model." Sustainability 10, no. 8: 2633.
Simulating future land use/cover changes is of great importance for urban planners and decision-makers, especially in metropolitan areas, to maintain a sustainable environment. This study examines the changes in land use/cover in the Tokyo metropolitan area (TMA) from 2007 to 2017 as a first step in using supervised classification. Second, based on the map results, we predicted the expected patterns of change in 2027 and 2037 by employing a hybrid model composed of cellular automata and the Markov model. The next step was to decide the model inputs consisting of the modeling variables affecting the distribution of land use/cover in the study area, for instance distance to central business district (CBD) and distance to railways, in addition to the classified maps of 2007 and 2017. Finally, we considered three scenarios for simulating land use/cover changes: spontaneous, sub-region development, and green space improvement. Simulation results show varied patterns of change according to the different scenarios. The sub-region development scenario is the most promising because it balances between urban areas, resources, and green spaces. This study provides significant insight for planners about change trends in the TMA and future challenges that might be encountered to maintain a sustainable region.
Ruci Wang; Ahmed Derdouri; Yuji Murayama. Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area. Sustainability 2018, 10, 2056 .
AMA StyleRuci Wang, Ahmed Derdouri, Yuji Murayama. Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area. Sustainability. 2018; 10 (6):2056.
Chicago/Turabian StyleRuci Wang; Ahmed Derdouri; Yuji Murayama. 2018. "Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area." Sustainability 10, no. 6: 2056.