@inbook {136,
	title = {Care for Disaster Risk Reduction and Communication: Lessons Learned and Way to Forward},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {337{\textendash}346},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {We have contributed to the mutual support of the community, not within the framework of medical care or disaster prevention to health and well-being directly contributed to SDG 3. Through the care of local nurses who can flexibly respond to any disaster, we have been visualizing the care and communication for disaster risk reduction while using new technologies. The local nurse is a knowledge base that exists continuously in the community and is most concerned with the health, safety, and security of the people in the society. It is expected to play a coordinating role in local health crises from the long-term and holistic perspective forward. {\textquoteleft}{\textquoteleft}Target 3.d strengthen the capacity of all countries, in particular developing countries.{\textquoteright}{\textquoteright} Therefore, it is critical to update the knowledge about {\textquoteleft}{\textquoteleft}early warning, risk reduction, and management of national and global health risks.{\textquoteright}{\textquoteright} Its social context and commitment to a sustainable future need to be revised and updated periodically to keep pace with new technologies and developments. Mutual support involving community-based organizations, private nonprofit organizations, private companies, educational and research institutions, and academic institutions is also essential. Broadening the space for action and allowing for more dialogue were also required to enable each institution to coordinate its response as appropriate. Thinking within a diverse global agenda frameworks allows for a multilateral and multisectoral approach to realizing the SDGs. This book would show a comprehensive {\textquoteleft}{\textquoteleft}big blueprint{\textquoteright}{\textquoteright} for global citizen to understand. {\textquoteleft}{\textquoteleft}No one{\textquoteright}s health and well-being will be left behind{\textquoteright}{\textquoteright} through disaster nursing and disaster risk reduction with emerging communication and data.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_30},
	url = {https://doi.org/10.1007/978-3-030-98297-3_30},
	author = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@inbook {139,
	title = {Case Studies of ICT/GIS Application for DRR},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {317{\textendash}325},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {This chapter introduces suitable applications for disaster risk reduction (DRR) using information technologies and geospatial information in primary health care. We assessed the practices in aspects of (1) problems addressed by the solution, (2) stakeholders of the problems, (3) user or beneficiary of the provided information and data, (4) outcomes of the solution, and (5) key technology specifications required for providing the information and data, specifically focusing spatial precision and temporal frequency. The analysis shed light on the current issues and limitations of the implemented systems while paving the way for future development addressing the rules from geospatial services.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_28},
	url = {https://doi.org/10.1007/978-3-030-98297-3_28},
	author = {Miyazaki, Hiroyuki and Miyagawa, Shoko and Joshi, Archana Shrestha and Kanbara, Sakiko},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@inbook {135,
	title = {Designing Data for DRR (Disaster Risk Reduction) Services},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {309{\textendash}316},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {This chapter provides basic methods of service design, which is a key technique for bringing benefits of ICT and GIS to end users. The methods comprise a series of user-oriented designs including defining and scoping problems, identifying and analyzing stakeholders, designing and defining specification requirements of information and data, and prototyping. These are useful for interdisciplinary fields like disaster nursing and primary health care. The approach is also applied to the framework of analyzing case studies in the next chapter, so it is encouraged to read this chapter before the next chapter. Readers will be equipped with methods of analyzing problems for designing solutions with ICT and GIS after reading this chapter.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_27},
	url = {https://doi.org/10.1007/978-3-030-98297-3_27},
	author = {Miyazaki, Hiroyuki and Miyagawa, Shoko},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@inbook {138,
	title = {Geographic Information System (GIS) and Data Visualization},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {297{\textendash}307},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {This chapter is to understand the functionality of GIS focusing on disaster nursing operations, comprising (1) data acquisition, (2) data analysis, (3) data visualization, and (4) data management and sharing. The reader will understand the conceptual basics of GIS, which is useful for designing GIS-based information management systems and applications. By reading and understanding this chapter, the readers will start GIS applications in finding their projects and activities.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_26},
	url = {https://doi.org/10.1007/978-3-030-98297-3_26},
	author = {Sritart, Hiranya and Miyazaki, Hiroyuki},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@inbook {137,
	title = {Management of Health- and Disaster-Related Data},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {285{\textendash}296},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {Prolonged health emergencies and disasters greatly affect health and well-being of individuals and communities. Past experiences on extreme emergencies and disasters have taught communities the value of preparedness. Information is key in responding to health crises especially in areas where health capacity is challenged. This chapter explains the necessity of identifying appropriate health and disaster data and proposes its transformation to information needed for decision-making. It presents different examples of systems and datasets that were used for the management of response during disasters and extreme emergencies. By introducing examples from Japan and Philippines, this chapter also points out that aside from medical data, nonmedical data, such as lifestyle and hygiene information, are necessary to protect the health of disaster victims.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_25},
	url = {https://doi.org/10.1007/978-3-030-98297-3_25},
	author = {Estuar, Maria Regina and Miyagawa, Shoko and Pulmano, Christian and Victorino, John Noel and Ohta, Sachiko and Miyazaki, Hiroyuki and Kanbara, Sakiko},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@conference {142,
	title = {Spatial Equity and Healthcare Access in the COVID-19 Pandemic},
	booktitle = {Proceedings of the 6th International Conference on Medical and Health Informatics},
	year = {2022},
	publisher = {Association for Computing Machinery},
	organization = {Association for Computing Machinery},
	address = {New York, NY, USA},
	abstract = {Healthcare facilities around the world become overwhelmed by the number of infected coronavirus patients that needed to be treated during the COVID-19 outbreak, resulting in medical staff and healthcare services shortages. Regarding to understand and minimize the inequalities in healthcare services, it is crucial to evaluate the available healthcare resource, particularly the intensive care unit (ICU) beds that are critical for the COVID-19 pandemic. Therefore, this study aims to explore and determine the spatial distribution of the confirmed COVID-19 patients and the healthcare capacities in the province of Ubon Ratchathani, Thailand. Applying the GIS platform with the data analysis of 2SFCA (Two-Step Floating Catchment Area) based approach, we emphasize the spatial distribution of both patients and healthcare resources in the study area. The spatial accessibility index regarding the physicians and ICU beds was determined and highlighted in each district. Additionally, the vulnerable regions were identified by the level of healthcare accessibility. We believe this study offers valuable insight in gaining a better understanding and supporting effective response activities toward pandemic resilience.},
	isbn = {9781450396301},
	doi = {10.1145/3545729.3545782},
	url = {https://doi.org/10.1145/3545729.3545782},
	author = {Sritart, Hiranya and Taertulakarn, Somchat and Kanbara, Sakiko and Miyazaki, Hiroyuki}
}
@inbook {134,
	title = {Sustainable Development Goals SeriesDisaster Nursing, Primary Health Care and Communication in UncertaintyCare for Disaster Risk Reduction},
	year = {2022},
	pages = {31 - 39},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-030-98296-6},
	issn = {2523-3084},
	doi = {10.1007/978-3-030-98297-310.1007/978-3-030-98297-3_4},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-98297-3_4},
	author = {Kanbara, Sakiko and Joshi, Archana Shrestha and Miyagawa, Shoko and Miyazaki, Hiroyuki},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@book {133,
	title = {Sustainable Development Goals SeriesDisaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-030-98296-6},
	issn = {2523-3084},
	doi = {10.1007/978-3-030-98297-3},
	url = {https://link.springer.com/10.1007/978-3-030-98297-3https://link.springer.com/content/pdf/10.1007/978-3-030-98297-3https://link.springer.com/content/pdf/10.1007/978-3-030-98297-3.pdf},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@conference {131,
	title = {Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment},
	booktitle = {IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},
	year = {2021},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Brussels, Belgium},
	doi = {10.1109/IGARSS47720.2021.9554416},
	url = {https://ieeexplore.ieee.org/document/9554416/http://xplorestaging.ieee.org/ielx7/9553015/9553016/09554416.pdf?arnumber=9554416},
	author = {Koga, Yohei and Miyazaki, Hiroyuki and Shibasaki, Ryosuke}
}
@article {129,
	title = {Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand},
	journal = {Sustainability},
	volume = {13},
	year = {2021},
	pages = {6777},
	abstract = {Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users{\textquoteright} circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.},
	issn = {2071-1050},
	doi = {10.3390/su13126777},
	url = {https://www.mdpi.com/2071-1050/13/12/6777},
	author = {Kii, Masanobu and Goda, Yuki and Vichiensan, Varameth and Miyazaki, Hiroyuki and Moeckel, Rolf}
}
@article {126,
	title = {Factors affecting decision-making in land valuation process using AHP: a case in the Philippines},
	journal = {International Journal of Housing Markets and Analysis},
	volume = {ahead-of-print},
	year = {2021},
	month = {2021},
	abstract = {Purpose The research aims to establish importance scheme of geospatial factors for land valuation activities that may serve as an eye-opener and aid the concerned government agencies in drafting land valuation policies and guidelines to achieve a sound land governance and administration. It specifically identifies and weighs geospatial valuation factors to establish their importance. Design/methodology/approach The research involves discussions and survey questionnaires given to land experts (i.e. appraisers, environmental planners, land economist, geodetic engineers and assessors) who indicated their opinions on influence of geospatial factors on land value. The analytic hierarchy process (AHP) is then used to weigh the factors in terms of its importance. Findings The result was then compared with the multiple regression analysis (MRA) taking into consideration the standardized regression coefficient of the 15 factors. The AHP method found out the major road accessibility and slope direction as the most and least influential factors, respectively, while surprisingly MRA found major road accessibility not significant at p < 0.05 level of significance. Research limitations/implications The research generally reflects the sub-urban type of study area; hence, inclusion of other road types such as express ways and subways and performing sensitivity analysis of AHP are suggested in future studies. Practical implications The findings of the study will provide information of concerned government agencies in improving valuation activities, as well as to update values regularly based on the geospatial factors. Originality/value To the best of the authors{\textquoteright} knowledge, this study is the first effort to rank geospatial factors with analytic hierarchy analytic process that further considered both their negative and positive influences on land value. The approach surmounts the flaw and shortcomings of empirical methods of identifying importance of factors.},
	isbn = {1753-8270},
	url = {https://doi.org/10.1108/IJHMA-11-2020-0136},
	author = {Bencure, Jannet C. and Tripathi, Nitin K. and Miyazaki, Hiroyuki and Ninsawat, Sarawut and Kim, Sohee Minsun}
}
@article {127,
	title = {Malaria rapid diagnostic test (HRP2/pLDH) positivity, incidence, care accessibility and impact of community WASH Action programme in DR Congo: mixed method study involving 625 households},
	volume = {20},
	year = {2021},
	month = {2021/02/27},
	pages = {117},
	abstract = {Malaria is one of the most prevalent and deadliest illnesses in sub-Saharan Africa. Despite recent gains made towards its control, many African countries still have endemic malaria transmission. This study aimed to assess malaria burden at household level in Kongo central province, Democratic Republic of Congo (DRC), and the impact of community participatory Water, Sanitation and Hygiene (WASH) Action programme.},
	isbn = {1475-2875},
	url = {https://doi.org/10.1186/s12936-021-03647-9},
	author = {Ngatu, Nlandu Roger and Muzembo, Basilua Andre and Choomplang, Nattadech and Kanbara, Sakiko and Wumba, Roger and Ikeda, Mitsunori and Mbelambela, Etongola Papy and Muchanga, Sifa Marie-Joelle and Suzuki, Tomoko and Wada, Koji and Al Mahfuz, Hasan and Sugishita, Tomohiko and Miyazaki, Hiroyuki and Ikeda, Shunya and Hirao, Tomohiro}
}
@inbook {121,
	title = {EpiNurse, Health Monitoring by Local Nurses on Nepal Earth Quake 2015},
	booktitle = {Public Health and Disasters: Health Emergency and Disaster Risk Management in Asia},
	year = {2020},
	pages = {229 - 244},
	publisher = {Springer Singapore},
	organization = {Springer Singapore},
	address = {Singapore},
	abstract = {The name, EpiNurse, refers to local nurses who perform epidemiological surveillance and care to ensure human security in and communicate with health authorities on the health status of communities. They collect and report epidemiological information by using easy-to-use technology in communities in which access to health information of the populace is hindered by catastrophic accidents or other geo-/socio-political reasons. EpiNurse Nepal Project (August 2015{\textendash}April 2016) carried out epidemiological surveillances at 24 camps in 9 districts after the 2015 Nepal earthquake. By applying ICT and questionnaire, EpiNurse member nurses collected shelter-related data and information, such as location and timestamps, and geo-tagged photos. Identification of typical health behavior patterns and comparative information about differences between community and temporary shelters provided insights into the health security assessment. This initiative experiments how nurse should collect and deliver the health emergency information on their own local culture, lifestyle, and perceptions. The potential of EpiNurse concept lies not only in producing innovative research outcomes by improving or optimizing existing ICT application in health sector, but also in promoting research knowledge and exchange of ideas regarding social issues and challenges in the field of health emergency and community resilience. The most critical challenge in practice relates to collecting and storing data, which later would have been generated into reasonable health security index information to be used for predicting the likelihood of occurrence of health emergency events. It is necessary to apply human behavior modeling using geospatial technology in order to create data transferring modules for first responders and civilian populations regarding DRR and behaviors.},
	isbn = {978-981-15-0924-7},
	url = {https://doi.org/10.1007/978-981-15-0924-7_15},
	author = {Kanbara, Sakiko and Pandey, Apsara and Estuar, Maria Regina E. and Lee, Hyeon Ju and Miyazaki, Hiroyuki},
	editor = {Chan, Emily Ying Yang and Shaw, Rajib}
}
@article {125,
	title = {A Grid-Based Spatial Analysis for Detecting Supply{\textendash}Demand Gaps of Public Transports: A Case Study of the Bangkok Metropolitan Region},
	journal = {Sustainability},
	volume = {12},
	year = {2020},
	pages = {10382},
	abstract = {Public transport service has been promoted to reduce the problems of traffic congestion and environmental impacts due to car dependency. Several public transportation modes are available in Bangkok Metropolitan Region (BMR) such as buses, heavy rails, vans, boats, taxis, and trains while in some areas have fewer modes of public transport available. The disparity of public transport service negatively impacts social equity. This study aims to identify the gaps between public transport supply and demand and to demonstrate introduced indicators to assess the public transport performance incorporating transport capacity and equilibrium access aspects. Supply index was used to evaluate the level of service, and the demand index was applied to estimate travel needs. Furthermore, the Lorenz curves and the Gini coefficients were used to measure the equity of public transport. The results highlight that more than half of the BMR population is living in low-supply high-demand areas for public transportation. Moreover, the equitable access analysis has identified that the high-income population has better access to public transport than the low-income population. The results suggest that public transport gaps and equity indicate the inclusiveness of public transportation, as well as to the areas where to improve the public transport service. Thus, the methodology used in this study can be applied to another city or region similar to BMR.},
	issn = {2071-1050},
	doi = {10.3390/su122410382},
	url = {https://www.mdpi.com/2071-1050/12/24/10382},
	author = {Peungnumsai, Apantri and Miyazaki, Hiroyuki and Witayangkurn, Apichon and Kim, Sohee Minsun}
}
@article {120,
	title = {A Method for Vehicle Detection in High-Resolution Satellite Images that Uses a Region-Based Object Detector and Unsupervised Domain Adaptation},
	journal = {Remote Sensing},
	volume = {12},
	year = {2020},
	pages = {575},
	abstract = {Recently, object detectors based on deep learning have become widely used for vehicle detection and contributed to drastic improvement in performance measures. However, deep learning requires much training data, and detection performance notably degrades when the target area of vehicle detection (the target domain) is different from the training data (the source domain). To address this problem, we propose an unsupervised domain adaptation (DA) method that does not require labeled training data, and thus can maintain detection performance in the target domain at a low cost. We applied Correlation alignment (CORAL) DA and adversarial DA to our region-based vehicle detector and improved the detection accuracy by over 10\% in the target domain. We further improved adversarial DA by utilizing the reconstruction loss to facilitate learning semantic features. Our proposed method achieved slightly better performance than the accuracy achieved with the labeled training data of the target domain. We demonstrated that our improved DA method could achieve almost the same level of accuracy at a lower cost than non-DA methods with a sufficient amount of labeled training data of the target domain.},
	issn = {2072-4292},
	doi = {10.3390/rs12030575},
	url = {https://www.mdpi.com/2072-4292/12/3/575},
	author = {Koga, Yohei and Miyazaki, Hiroyuki and Shibasaki, Ryosuke}
}
@article {124,
	title = {Methodology and Application of Spatial Vulnerability Assessment for Evacuation Shelters in Disaster Planning},
	journal = {Sustainability},
	volume = {12},
	year = {2020},
	pages = {7355},
	abstract = {Evacuation shelters are the most important means for safeguarding people in hazardous areas and situations, and thus minimizing losses, particularly those due to a disaster. Therefore, evacuation shelter assignment and evacuation planning are some of the critical factors for reducing vulnerability and increasing resilience in disaster risk reduction. However, an imbalance of shelter distribution and spatial heterogeneity of a population are the critical issues limiting the accessibility of evacuation shelters in real situations. In this study, we propose a methodology for spatial assessment to reduce vulnerability and evaluate the spatial distribution of both shelter demand and resources, considering spatial accessibility. The method was applied to the case study of Mabi, in the context of a disaster caused by the 2018 flooding. We applied this approach to evaluate the area and identified the vulnerability of the evacuation shelters and the residents. The proposed method revealed that 54.55\% of the designated evacuation shelters and 59\% of the total population were physically vulnerable to the flood. The results highlight, using GIS maps, that the total shelter capacity was significantly decreased to 43.86\%. The outcome assessment addressed specific vulnerable shelters and the imbalance between the demand for and resources of each shelter. Accordingly, this study provides practical information and a valuable reference for supporting local governments and stakeholders to improve future disaster planning, prevention, and preparedness.},
	issn = {2071-1050},
	doi = {10.3390/su12187355},
	url = {https://www.mdpi.com/2071-1050/12/18/7355},
	author = {Sritart, Hiranya and Miyazaki, Hiroyuki and Kanbara, Sakiko and Hara, Takashi}
}
@conference {122,
	title = {Development of an Automated Settlement Mapping System using High-Resolution Satellite Images and Deep Learning},
	booktitle = {The 60th Annual Meeting for the Japanese Society of Tropical Medicine},
	year = {2019},
	month = {11/2019},
	address = {Okinawa, Japan},
	abstract = {We developed an automated system of building with the use of high-resolution satellite images and deep learning, comprising a geospatial data management system, an image data processing system, and a quality control system. The system development has achieved the component of the geospatial data management and image data processing, and performed building mapping of some large extents, while the development of quality control systems is ongoing. Because we developed the system with open-source and web-based software, anyone can participate in the preparation of training data just only with a computer and the Internet. The system is expected to be a platform for the large-scale mapping of buildings and other ground objects with international collaborations of local partners. The building maps developed by this system are expected to be a basis of analyzing demography with possible risks and impacts of communicable diseases.},
	author = {Hiroyuki Miyazaki and Wataru Ohira and Satoshi Kaneko and Ryosuke Shibasaki}
}
@article {107,
	title = {Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches},
	journal = {Sustainability},
	volume = {11},
	year = {2019},
	abstract = {Land development in sub-urban areas is more frequent than in highly urbanized cities, causing land prices to increase abruptly and making it harder for valuers to update land values in timely manner. Apart from this, the non-availability of sufficient reliable market values forces valuers to use alternatives and subjective judgement. Land value is critical not only for private individuals but also for government agencies in their day-to-day land dealings. Thus, mass appraisal is necessary. In other words, despite the importance of reliable land value in all aspects of land administration, valuation remains disorganized, with unregulated undertakings that lack concrete scientific, legal, and practical foundations. A holistic and objective way of weighing geospatial factors through expert consultation, legal reviews, and evidence (i.e., news) will provide more realistic results than a regression-based method that does not comprehend valuation factors (i.e., physical, social, economic, environmental, and legal aspects). The analytic hierarchy process (AHP) enables these factors to be included in the model, hence providing a realistic result. The innovative land valuation model (iLVM), developed in this study, is an inclusive approach wherein experts are involved in the selection and weighing of 15 factors through the AHP. The model was validated using root mean squared error (RMSE) and compared with multiple regression analysis (MRA) through a case study in Baybay City, Philippines. Based on the results, the iLVM (RMSE = 0.526) outperformed MRA (RMSE = 1.953).},
	issn = {2071-1050},
	doi = {10.3390/su11133731},
	url = {https://www.mdpi.com/2071-1050/11/13/3731},
	author = {Bencure, Jannet C. and Tripathi, Nitin K. and Miyazaki, Hiroyuki and Ninsawat, Sarawut and Kim, Sohee Minsun}
}
@proceedings {104,
	title = {Disaggregate Hotel Evaluation by Using Diverse Aspects from User Reviews},
	year = {2019},
	month = {Feb},
	abstract = {Experienced opinions about products and services can guide a potential user for a better purchase decision. Fine-grained aspect level opinions embedded within reviews must be explored to discover experienced users{\textquoteright} latent opinion about the aspects (i.e. features of products like cost, value for money, etc.) and their relative importance. In this paper, we present an unsupervised approach for discovering coherent hotel aspects based on the user attention. This model effectively integrates techniques like topic modeling and word embeddings along with the frequent noun-adjective co-occurrence statistics to automatically discover coherent hotel aspects. Further supervised methods are used to understand the user{\textquoteright}s relative emphasis on the aspects and finally rank the hotels. This method does not assume any predefined seed words and discovers coherent level aspects by directly using user attention and word co-occurrence statistics in addition to topic modeling and word embeddings. The performance evaluation of this method was done by collecting various hotel reviews from multiple travel websites. Results show that the proposed methods improved the baseline performance up to 90\%. Hence, the results thus obtained are very promising and indicate that the system is simple, scalable and most of all accurate in ranking hotels based on the latent aspects expressed in the user reviews.},
	keywords = {Adaptation models, aspects, Coherence, coherent hotel aspects, customer satisfaction, data mining, Data models, disaggregate hotel evaluation, diverse aspects, Estimation, Feature extraction, fine-grained aspect level opinions, frequent noun-adjective co-occurrence statistics, hotel industry, hotel ranking, hotel reviews, latent aspects, Predictive models, purchase decision, statistical analysis, supervised methods, topic modeling, unsupervised learning, user attention, user reviews, word co-occurrence statistics, word embeddings},
	doi = {10.1109/BIGCOMP.2019.8679332},
	author = {B. Devkota and K. Kim and C. Zhuang and H. Miyazaki}
}
@proceedings {117,
	title = {Effect of Public Transport Network on Urban Core and the Future Perspective in Bangkok, Thailand},
	year = {2019},
	month = {12/2019},
	address = {Chiang Mai, Thailand},
	abstract = { City  center  is  an  essential  components  of  urban  structure   that   rules   urban   activities   including   economy,   transport,  and  social  interactions.  In  Bangkok,  Thailand,  the  railway network is expanding and the expansion is expected to  affect  the  city  center  locations.  In  this  study  we  attempt  to  capture   the   effect   of   public   transport   network   on   the   accumulation of three types of urban core facilities based on the spatial statistical approach, and estimate the future perspective of locations of those facilities. As a result we found that expected number of facilities in current urban core in Bangkok decreases and  the  number  of  facilities  at  stations  on  planned  railways  increases under certain conditions. The results can be utilized to estimate the future travel pattern and residential locations. },
	keywords = {location probability, network  centrality, point of interest, railway  network, urban  core},
	url = {https://ieeexplore.ieee.org/document/9018769},
	author = {Masanobu Kii and Apantri Peungnumsai and Varameth Vichiensan and Hiroyuki Miyazaki}
}
@proceedings {114,
	title = {A Review of MATSim: A Pilot Study of Chatuchak, Bangkok},
	year = {2019},
	month = {12/2019},
	address = {Chiang Mai, Thailand},
	abstract = {Transportation is one of the basic infrastructures that has become an important factor for urban planning and development. In order to develop a better transportation system can lead to better infrastructure, studying the traffic system, current situation and its behavior, is necessary. However, to reveal every object and its dynamic that happens in the traffic system is impossible without a tool and techniques. MATSim is a simulation model software used to assign the traffic between origins and destinations. Most of MATSim applications have been used for developed countries. Nevertheless, Bangkok is one of several cities challenging on the over-saturated situation on road traffic. To check the situation, the simulation can be used to explore highly concentrated traffic flow. Thus, the objective of this study is to examine the applicability of the Multi-Agents Transportation Simulation (MATSim) framework to Bangkok situation. For the travel demand forecasting, it commonly referred to as the four step model. And MATSim framework is one model for the fourth step of the model which is traffic assignment or route assignment. Therefore, this study explored MATSim by experimenting with two plans of agents represented by people travelling from home to work and work to home over Chatuchak district, Bangkok. The sample size of agents using in the simulation are 10, 100, and 500 agents. The results show the traffic flow differently because of the volume of agent effect on the traffic flow.},
	keywords = {Agent-based modeling, Road transportation, Transportation},
	url = {https://jiist.aiat.or.th/assets/uploads/1588686091433SRGAmjiist.aiat.or.th-23.pdf},
	author = {Apantri Peungnumsai and Hiroyuki Miyazaki and Apichon Witayangkurn and Masanobu Kii}
}
@article {109,
	title = {Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest},
	journal = {Sustainability},
	volume = {11},
	year = {2019},
	pages = {4718},
	abstract = {Easy, economical, and near-real-time identification of tourism areas of interest is useful for tourism planning and management. Numerous studies have been accomplished to analyze and evaluate the tourism conditions of a place using free and near-real-time data sources such as social media. This study demonstrates the potential of volunteered geographic information, mainly Twitter and OpenStreetMap, for discovering tourism areas of interest. Active tweet clusters generated using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm and building footprint information are used to identify touristic places that ensure the availability of basic essential facilities for travelers. Furthermore, an investigation is made to examine the usefulness of nighttime light remotely sensed data to recognize such tourism areas. The study successfully discovered important tourism areas in urban and remote regions in Nepal which have relatively low social media penetration. The effectiveness of the proposed framework is examined using the F1 measure. The accuracy assessment showed F1 score of 0.72 and 0.74 in the selected regions. Hence, the outcomes of this study can provide a valuable reference for various stakeholders such as tourism planners, urban planners, and so on.},
	issn = {2071-1050},
	doi = {10.3390/su11174718},
	url = {https://www.mdpi.com/2071-1050/11/17/4718},
	author = {Devkota, Bidur and Miyazaki, Hiroyuki and Witayangkurn, Apichon and Kim, Sohee Minsun}
}
@article {93,
	title = {The 2015 Nepal Earthquake Disaster: Is the Threat of Occurrence of Communicable Disease Epidemic Over?},
	journal = {International Journal of Indonesian National Nurses Association (IJINNA)},
	volume = {1},
	year = {2018},
	pages = {105-110},
	type = {Journal Article},
	issn = {2614-4794},
	url = {http://ijinna-ppni.org/ijinna2/index.php/IJINNA/article/view/32},
	author = {Kanbara, Sakiko and Ngatu, Nlandu Roger and Pokhrel, Tara and Pandey, Apsara and Sharma, Chandrakara and Lee, Hyeon J and Miyagawa, Shoko and Miyazaki, Hiroyuki and Nojima, Sayumi}
}
@article {94,
	title = {A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining},
	journal = {Remote Sensing},
	volume = {10},
	year = {2018},
	pages = {124},
	type = {Journal Article},
	issn = {2072-4292},
	url = {http://www.mdpi.com/2072-4292/10/1/124},
	author = {Koga, Yohei and Miyazaki, Hiroyuki and Shibasaki, Ryosuke}
}
@proceedings {100,
	title = {Deep Domain Adaptation for Single-Shot Vehicle Detector in Satellite Images},
	year = {2018},
	doi = {10.1109/IGARSS.2018.8519129},
	url = {https://ieeexplore.ieee.org/abstract/document/8519129},
	author = {Yohei Koga and Hiroyuki Miyazaki and Ryosuke Shibasaki}
}
@proceedings {92,
	title = {Innovative Technological Approaches for Community Resilience},
	volume = {32},
	year = {2017},
	pages = {S191-S191},
	issn = {1049-023X},
	doi = {10.1017/S1049023X17005039},
	url = {https://www.cambridge.org/core/article/innovative-technological-approaches-for-community-resilience/2CDC3530F65C3A6625D58C1E6E9EAE79},
	author = {Kanbara, Sakiko and Aharonson-Daniel, Limor and Miyazaki, Hiroyuki and Cohen, Odeya and Benin-Goren, Odeda and Yifrah, Dror and Arai, Ayumi}
}
@proceedings {88,
	title = {Counting Vehicles By Deep Neural Network In High Resolution Satellite Images},
	year = {2016},
	author = {Koga, Yohei and Miyazaki, Hiroyuki and Shibasaki, Ryosuke}
}
@proceedings {89,
	title = {Development of an automated system for building detection from high-resolution satellite images},
	year = {2016},
	doi = {10.1109/EORSA.2016.7552806},
	author = {Miyazaki, H. and Kuwata, K. and Ohira, W. and Guo, Z. and Shao, X. and Xu, Y. and Shibasaki, R.}
}
@proceedings {86,
	title = {Latest Developments of the Isprs Student Consortium},
	year = {2016},
	abstract = {The International Society for Photogrammetry and Remote Sensing (ISPRS) Student Consortium (SC) is a network for young professionals studying or working within the fields of photogrammetry, remote sensing, Geographical Information Systems (GIS), and other related geo-spatial sciences. The main goal of the network is to provide means for information exchange for its young members and thus help promote and integrate youth into the ISPRS. Over the past four years the Student Consortium has successfully continued to fulfil its mission in both formal and informal ways. The formal means of communication of the SC are its website, newsletter, e-mail announcements and summer schools, while its informal ones are multiple social media outlets and various social activities during student related events. The newsletter is published every three to four months and provides both technical and experiential content relevant for the young people in the ISPRS. The SC has been in charge or at least has helped with organizing one or more summer schools every year. The organization{\textquoteright}s e-mail list has over 1,100 subscribers, its website hosts over 1,300 members from 100 countries across the entire globe, and its public Facebook group currently has over 4,500 joined visitors, who connect among one another and share information relevant for their professional careers. These numbers show that the Student Consortium has grown into a significant online-united community. The paper will present the organization{\textquoteright}s on-going and past activities for the last four years, its current priorities and a strategic plan and aspirations for the future four-year period. },
	url = {http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B6/79/2016/isprs-archives-XLI-B6-79-2016.pdf},
	author = {Detchev, I. and Kanjir, U. and Reyes, S.R. and Miyazaki, H. and Aktas, A.F.}
}
@inbook {64,
	title = {Urban Observing Sensors},
	booktitle = {Global Urban Monitoring and Assessment through Earth Observation},
	series = {Remote Sensing Applications Series},
	year = {2014},
	note = {doi:10.1201/b17012-6},
	month = {2014},
	pages = {49-80},
	publisher = {CRC Press},
	organization = {CRC Press},
	isbn = {978-1-4665-6449-7},
	url = {http://dx.doi.org/10.1201/b17012-6},
	author = {Weng, Qihao and Gamba, Paolo and Mountrakis, Giorgos and Pesaresi, Martino and Lu, Linlin and Kemper, Thomas and Heinzel, Johannes and Xian, George and Jin, Huiran and Miyazaki, Hiroyuki and Xu, Bing and Quresh, Salman and Keramitsoglou, Iphigenia and Ban, Yifang and Esch, Thomas and Roth, Achim and Elvidge, Christopher D.}
}
@booklet {66,
	title = {Crowdsourcing for urban area mapping},
	howpublished = {Asia Geospatial Digest},
	year = {2013},
	month = {2013},
	url = {http://geospatialworld.net/Paper/Application/ArticleView.aspx?aid=30462},
	author = {Kimijima, Satomi and Nagai, Masahiko and Miyazaki, Hiroyuki and Shibasaki, Ryosuke and Iwao, Koki}
}
@proceedings {78,
	title = {Crowd-Sourcing GIS for Global Urban Area Mapping},
	year = {2012},
	month = {2012},
	pages = {A4-2},
	address = {Pattaya, Thailand},
	abstract = {We present an internet-based data development, called crowd sourcing, for global urban area mapping. Crowd sourcing is an approach in which non-expert people, called crowds, join a project of producing data with simple procedures. To introducing crowd sourcing for our global urban area mapping, we constructed a crowd sourcing platform with open source GIS software and developed a ground truth data development system the platform. The data development system was for producing ground truth data by digitizing boundaries of urban area with visual interpretation of satellite images. By using the system, we successfully developed over 160,000 records of boundary data in five month. We had an experiment with operation of the system to measure working time by several sizes of work unit: 80 km {\texttimes} 80 km, 20 km {\texttimes} 20 km, and 10 km {\texttimes} 10 km. Medians of working time were 87.2, 6.2, and 1.4 hours, respectively. Our result would be helpful for estimate total working time of crowd sourcing of ground truth data by visual interpretation and would contribute to progress of data-intensive studies of geospatial information, remote sensing, and photogrammetry.},
	keywords = {ASTER, crowd sourcing, urban area mapping, Web-GIS},
	author = {Miyazaki, Hiroyuki and Kimijima, Satomi and Nagai, Masahiko and Iwao, Koki and Shibasaki, Ryosuke}
}
