<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Parven, Afshana</style></author><author><style face="normal" font="default" size="100%">Pal, Indrajit</style></author><author><style face="normal" font="default" size="100%">Witayangkurn, Apichon</style></author><author><style face="normal" font="default" size="100%">Pramanik, Malay</style></author><author><style face="normal" font="default" size="100%">Nagai, Masahiko</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Wuthisakkaroon, Chanakan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Impacts of disaster and land-use change on food security and adaptation: Evidence from the delta community in Bangladesh</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Disaster Risk Reduction</style></secondary-title><short-title><style face="normal" font="default" size="100%">International Journal of Disaster Risk Reduction</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-08-2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/abs/pii/S2212420922003387</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">78</style></volume><pages><style face="normal" font="default" size="100%">103119</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ngatu, Nlandu Roger</style></author><author><style face="normal" font="default" size="100%">Muzembo, Basilua Andre</style></author><author><style face="normal" font="default" size="100%">Choomplang, Nattadech</style></author><author><style face="normal" font="default" size="100%">Kanbara, Sakiko</style></author><author><style face="normal" font="default" size="100%">Wumba, Roger</style></author><author><style face="normal" font="default" size="100%">Ikeda, Mitsunori</style></author><author><style face="normal" font="default" size="100%">Mbelambela, Etongola Papy</style></author><author><style face="normal" font="default" size="100%">Muchanga, Sifa Marie-Joelle</style></author><author><style face="normal" font="default" size="100%">Suzuki, Tomoko</style></author><author><style face="normal" font="default" size="100%">Wada, Koji</style></author><author><style face="normal" font="default" size="100%">Al Mahfuz, Hasan</style></author><author><style face="normal" font="default" size="100%">Sugishita, Tomohiko</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Ikeda, Shunya</style></author><author><style face="normal" font="default" size="100%">Hirao, Tomohiro</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">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</style></title><short-title><style face="normal" font="default" size="100%">Malaria Journal</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021/02/27</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1186/s12936-021-03647-9</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">117</style></pages><isbn><style face="normal" font="default" size="100%">1475-2875</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Peungnumsai, Apantri</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Witayangkurn, Apichon</style></author><author><style face="normal" font="default" size="100%">Kim, Sohee Minsun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Grid-Based Spatial Analysis for Detecting Supply–Demand Gaps of Public Transports: A Case Study of the Bangkok Metropolitan Region</style></title><secondary-title><style face="normal" font="default" size="100%">Sustainability</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mdpi.com/2071-1050/12/24/10382</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">10382</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Apantri Peungnumsai</style></author><author><style face="normal" font="default" size="100%">Hiroyuki Miyazaki</style></author><author><style face="normal" font="default" size="100%">Apichon Witayangkurn</style></author><author><style face="normal" font="default" size="100%">Masanobu Kii</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Review of MATSim: A Pilot Study of Chatuchak, Bangkok</style></title><secondary-title><style face="normal" font="default" size="100%">First International Conference on Smart Technology &amp; Urban Development (STUD 2019)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agent-based modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">Road transportation</style></keyword><keyword><style  face="normal" font="default" size="100%">Transportation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://jiist.aiat.or.th/assets/uploads/1588686091433SRGAmjiist.aiat.or.th-23.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Chiang Mai, Thailand</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hiroyuki Miyazaki</style></author><author><style face="normal" font="default" size="100%">Himanshu Bhushan</style></author><author><style face="normal" font="default" size="100%">Kotone Wakiya</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Urban Growth Modeling using Historical Landsat Satellite Data Archive on Google Earth Engine</style></title><secondary-title><style face="normal" font="default" size="100%">2019 First International Conference on Smart Technology &amp; Urban Development (STUD)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/9018846</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Chiang Mai, Thailand</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper presents a pilot of data analysis for urban growth modeling using historical Landsat satellite data archive on Google Earth Engine and SLEUTH cellular automata model. The systems were organized for non-expert so that it could be useful for other applications. The developed system was applied to urban growth modeling for the cities of Hue, Ha Giang, and Vinh Yen in Viet Nam. Although the results indicated that further tuning will be needed in applying SLEUTH for urban growth modeling, the system was well established enabling users to efficiently polish the quality of the modeling results.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Devkota, Bidur</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Witayangkurn, Apichon</style></author><author><style face="normal" font="default" size="100%">Kim, Sohee Minsun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest</style></title><secondary-title><style face="normal" font="default" size="100%">Sustainability</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mdpi.com/2071-1050/11/17/4718</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">4718</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Peungnumsai, Apantri</style></author><author><style face="normal" font="default" size="100%">Witayangkurn, Apichon</style></author><author><style face="normal" font="default" size="100%">Nagai, Masahiko</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Taxi Zoning Analysis Using Large-Scale Probe Data: A Case Study for Metropolitan Bangkok</style></title><secondary-title><style face="normal" font="default" size="100%">The Review of Socionetwork Strategies</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1007/s12626-018-0019-4</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">21-45</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Journal Article</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Weng, Qihao</style></author><author><style face="normal" font="default" size="100%">Zeng, Siqi</style></author><author><style face="normal" font="default" size="100%">Zhu, Jianjun</style></author><author><style face="normal" font="default" size="100%">Zhu, Chuanqu</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of High-Resolution Population Database from ASTER-Derived Urban Area Map</style></title><secondary-title><style face="normal" font="default" size="100%">The Third International Workshop on Earth Observation and Remote Sensing Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/6927879</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Changsha, China</style></pub-location><isbn><style face="normal" font="default" size="100%">978-1-4799-5757-6</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Weng, Qihao</style></author><author><style face="normal" font="default" size="100%">Gamba, Paolo</style></author><author><style face="normal" font="default" size="100%">Mountrakis, Giorgos</style></author><author><style face="normal" font="default" size="100%">Pesaresi, Martino</style></author><author><style face="normal" font="default" size="100%">Lu, Linlin</style></author><author><style face="normal" font="default" size="100%">Kemper, Thomas</style></author><author><style face="normal" font="default" size="100%">Heinzel, Johannes</style></author><author><style face="normal" font="default" size="100%">Xian, George</style></author><author><style face="normal" font="default" size="100%">Jin, Huiran</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Xu, Bing</style></author><author><style face="normal" font="default" size="100%">Quresh, Salman</style></author><author><style face="normal" font="default" size="100%">Keramitsoglou, Iphigenia</style></author><author><style face="normal" font="default" size="100%">Ban, Yifang</style></author><author><style face="normal" font="default" size="100%">Esch, Thomas</style></author><author><style face="normal" font="default" size="100%">Roth, Achim</style></author><author><style face="normal" font="default" size="100%">Elvidge, Christopher D.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Urban Observing Sensors</style></title><secondary-title><style face="normal" font="default" size="100%">Global Urban Monitoring and Assessment through Earth Observation</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Remote Sensing Applications Series</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1201/b17012-6</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">CRC Press</style></publisher><pages><style face="normal" font="default" size="100%">49-80</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4665-6449-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">doi:10.1201/b17012-6</style></notes></record></records></xml>