研究者詳細 - 厳　網林

論文 - 厳　網林

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Developing a design-led approach for the food-energy-water nexus in cities

Yan W., Roggema R.

Urban Planning （Urban Planning） 4 （ 1 ） 123 - 138 2019年

共著, ISSN 2183-7635

© 2019 by the author; licensee Cogitatio (Lisbon, Portugal). Urban communities are particularly vulnerable to the future demand for food, energy and water, and this vulnerability is further exacerbated by the onset of climate change at local. Solutions need to be found in urban spaces. This article based around urban design practice sees urban agriculture as a key facilitator of nexus thinking, needing water and energy to be productive. Working directly with Urban Living Labs, the project team will co-design new food futures through the moveable nexus, a participatory design support platform to mobilize natural and social resources by integrating multi-disciplinary knowledge and technology. The moveable nexus is co-developed incrementally through a series of design workshops moving around living labs with the engagement of stakeholders. The methodology and the platform will be shared outside the teams so that the knowledge can be mobilized locally and globally.

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Status of Climate Change Adaptation in Northeast Asian Region

Yan W., Galloway W., Kang J.

Springer Climate （Springer Climate） 69 - 96 2019年

ISSN 23520698

© 2019, Springer Nature Switzerland AG. Differences in the political systems and the economic conditions of each country in the northeast region indeed lead to diversity in terms of climate change vulnerabilities. These differences cast strong shadows on the types and scale of adaptation plans and measures started in the region. Keeping context specificity in mind, this chapter summarizes the perspective of climate change impacts, vulnerabilities of key sectors and society, and status of adaptation measures including development of national adaptation strategy and action plans in China, Japan, Korea, and Mongolia. Further it compares commonalities and gaps amongst the countries. Apart from a separate introduction for each nation, it also gives a comprehensive discussion focusing on the eight indicators described in the framework chapter. This chapter presents a comprehensive picture of the latest adaptation measures in four countries which will deepen understanding on current adaptation efforts and gaps for enhancing adaptation actions in each country.

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Measuring Spatial Accessibility to Pick-Up Service Considering Differentiated Supply and Demand: A Case in Hangzhou, China

Lin L., Han H., Yan W., Nakayama S., Shu X.

Sustainability (Switzerland) （Sustainability (Switzerland)） 11 （ 12 ） 2019年

査読有り, ISSN 2071-1050

© 2019 by the authors. In recent years, customer pick-up at collection and delivery points has become a popular alternative to traditional home delivery, which is under great pressure. However, current service of pick-up facilities has seldom been geographically evaluated despite its general uneven distribution and diverse needs. In this paper, in order to interpret the differentiation in customers' service demands toward reception alternatives and in facilities' service excludability in different built environments, a two-step floating catchment area (2SFCA) method is improved to measure customers' spatial accessibility to pick-up facilities, providing a methodology to evaluate the match relation between the differentiated supply and demand of pick-up service. A case study of widespread automated parcel stations (APSs) is conducted in Hangzhou, China and correlative factors to residents' accessibility are discussed. From the results, residents' accessibility to pick-up service shows significant spatial unevenness and social inequity in the study area, which is found to correlate most to residences' maintenance management. As well-managed, gated communities generally hold effective access to exclusive services, most open communities and self-built, single houses are in need of improvement due to inadequate service stemming from a high aging rate, lack of property management, and low service availability of nonexclusive facilities in open areas.

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Using neighborhood association area as new spatial data infrastructure to link public administrative data with GIS in Indonesia

Arip M., Wanglin Y., Hirose K.

Communications in Science and Technology （Communications in Science and Technology） 4 （ 1 ） 20 - 29 2019年

ISSN 25029258

Despite its potential use for earth observation and GIS-based analysis, Public Administrative Data (PAD) has been neglected in the spatial big data discussions. For instance, linking unaggregated public databases to the smallest administrative units for mining spatial data currently absents from literature. In this study, a neighborhood association base map was developed and the usability as a platform for linking PAD in Indonesia was investigated. The base map is proposed as a new feature in Indonesia-s SDI. A data model was developed, and data accuracy and reliability were assessed by a case study. Four unaggregated databases obtained from public institutions were examined using common structured query language. The results show that from 1.3 million records, more than 95% can be directly linked to the base map. Finally, it is concluded that despite the existence of challenges, linking PAD with the base map is feasible and beneficial for GIS-based analysis.

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Modeling of building energy consumption for accommodation buildings (Lodging sector) in Japan—Case study

Alkhalaf H., Yan W.

Applied System Innovation （Applied System Innovation） 1 （ 4 ） 1 - 12 2018年12月

The energy performance of residential and commercial buildings is a vital topic because of the rapid urbanization occurring throughout the world. Accommodation buildings are considered energy intensive compared to other commercial facilities. In addition, they are the main component of the tourism industry. Therefore, various actions and policies have been introduced to improve the energy performance of accommodation buildings. This research depends on a national scale database of energy consumption of commercial buildings in Japan. It is the main source of data to conduct this study. The Database for Energy Consumption of Commercial buildings (DECC) is a national survey that is provided by the Japan Sustainable Building Consortium (JSBC). Based on the DECC, the study presents a general benchmark which is developed by applying regression and artificial neural network (ANN) methods to assess the energy performance of accommodation buildings in the Kanto region, Japan. The study presents a broad benchmark to evaluate basic energy consumption of accommodation building with three variables. In addition, the study highlights the necessity of designing the ANN model through the choosing of hidden layers and training method. The outcomes of each learning method and hidden layer was examined using main indicators to verify its accuracy.

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Trust as a proxy indicator for intrinsic quality of Volunteered Geographic Information in biodiversity monitoring programs

Vahidi H., Klinkenberg B., Yan W.

GIScience and Remote Sensing （GIScience and Remote Sensing） 55 （ 4 ） 502 - 538 2018年07月

共著, ISSN 15481603

© 2017 Informa UK Limited, trading as Taylor & Francis Group. In this article, we present a fuzzy model for intrinsic quality assessment of Volunteered Geographic Information (VGI) on species occurrences obtained by Citizen Science (CS) biodiversity monitoring programs. The proposed VGI quality assurance approach evaluates the thematic and positional quality of the crowdsourced biodiversity observation in terms of the trustworthiness of the observation by combining three indicators of consistency with habitat, consistency with surroundings, and reputation of contributor, that characterize the geographical and social aspects of trust in VGI. To evaluate the performance and usability of the proposed approach for evaluating the trustworthiness of crowdsourced observations and detecting thematic and positional errors in crowdsourced observations, the developed approach was applied to the crowdsourced observations on Acer macrophyllum collected through the CS biodiversity monitoring projects of E-Flora BC and iNaturalist. The result of a conformity test at the optimal acceptance threshold (sensitivity = 0.99, specificity = 0.8, and Cohen’s kappa = 0.79), the achieved area under the curve (AUC) value (AUC = 0.98), and the results of the complementary investigation on the predictions of the proposed model indicated that the proposed fuzzy trust model exhibited promising predictive performance and was able to flag the majority of attribute and positional errors in the crowdsourced biodiversity observations.

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Mapping the individual trees in urban orchards by incorporating Volunteered Geographic Information and very high resolution optical remotely sensed data: A template matching-based approach

Vahidi H., Klinkenberg B., Johnson B., Moskal L., Yan W.

Remote Sensing （Remote Sensing） 10 （ 7 ） 1134 - 1134 2018年07月

共著, ISSN 2072-4292

© 2018 by the authors. This paper presents a collective sensing approach that integrates imperfect Volunteered Geographic Information (VGI) obtained through Citizen Science (CS) tree mapping projects with very high resolution (VHR) optical remotely sensed data for low-cost, fine-scale, and accurate mapping of trees in urban orchards. To this end, an individual tree crown (ITC) detection technique utilizing template matching (TM) was developed for extracting urban orchard trees from VHR optical imagery. To provide the training samples for the TM algorithm, remotely sensed VGI about trees including the crowdsourced data about ITC locations and their crown diameters was adopted in this study. A data quality assessment of the proposed approach in the study area demonstrated that the detected trees had a very high degree of completeness (92.7%), a high thematic accuracy (false discovery rate (FDR) = 0.090, false negative rate (FNR) = 0.073, and F1 score (F1) = 0.918), and a fair positional accuracy (root mean square error (RMSE) = 1.02 m). Overall, the proposed approach based on the crowdsourced training samples generally demonstrated a promising ITC detection performance in our pilot project.

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LoRa - A survey of recent research trends

Saari M., Muzaffar Bin Baharudin A., Sillberg P., Hyrynsalmi S., Yan W.

2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 - Proceedings （2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 - Proceedings） 872 - 877 2018年06月

共著, ISSN 9789532330977

© 2018 Croatian Society MIPRO. Nowadays the Internet of Things (IoT) is one of the most promising application areas in information technology for future products and services. Therefore, it is not surprising that new technologies arise, which are marketed as 'the most useful technology' for applications in IoT devices. In this study, we focus on the new communication technology called LoRaWAN. Our aim is to evaluate the usefulness of LoRaWAN technology in the field of IoT, and especially in sensor network solutions. The research methodology is a literature survey and primary articles were selected by means of a systematic literature review. More than fifty suitable research papers were identified. From these, the following research questions were formulated: 'How to categorize LoRa research papers?' and 'What are the application trends in LoRa?' This study presents a way to categorize research papers with diverse themes. In addition, this survey reveals the most recent trends in research and practical applications of LoRa. Finally, this study will give recommendations for researchers and practitioners on how the advantages of LoRa-based technologies could be fully exploited in the development of IoT systems and solutions.

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Portable fog gateways for resilient sensors data aggregation in internet-less environment

bin Baharudin A., Saari M., Sillberg P., Rantanen P., Soini J., Jaakkola H., Yan W.

Engineering Journal （Engineering Journal） 22 （ 3 ） 221 - 232 2018年06月

共著, ISSN 01258281

© 2018, Chulalongkorn University. All rights reserved. Fog computing is gaining attention due to the potential of aggregating and processing time-sensitive data at the nearby intelligent gateways. It reduces the latency of sensors data aggregation and response time therefore, improve real-time action which is beneficial in environmental monitoring and early warning systems. However, deploying edge computing in Internet-less environment seems unpractical and the mobility of gateways is less focused in current literature. In this paper, we present a practical design of a portable gateways scheme for sensors data aggregation and processing in Internet-less environment. The proposed gateways can locate their geographical locations which can be automatically converted into location names at the central gateway. The proposed portable Fog Gateways are developed by using open-source hardware and integrated with Cloud database for data storage. Data processing techniques such as data parsing and Reverse Geocoding are conducted for reliable data transmission by using GSM/GPRS technology and geographical location name detection respectively. Finally, a case study has been conducted to evaluate the feasibility of our proposed Fog Gateways scheme in real-time application.

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Monitoring the transformation of Yogyakarta's urban form using remote sensing and Geographic Information System

Rozano B., Yan W.

IOP Conference Series: Earth and Environmental Science （IOP Conference Series: Earth and Environmental Science） 148 （ 1 ） 2018年05月

査読有り, ISSN 17551307

© Published under licence by IOP Publishing Ltd. Urban form transformation can be seen as the results of urbanization spatially, where the land changed into an urbanized one. Monitoring its changes, however, require many human and financial resources. Accordingly, this research aims to identify urban form transformation using GIS/remote sensing and its spatial implications to the peri-urban area. In order to analyze the land cover changes, this research uses multispectral images from 1990-2016 for built-up extraction using New Built Up Index (NBUI) analysis and population data 1996-2015 combined with primary data from the respondents and key informants. Based on the analysis, it is seen that the compacted Yogyakarta Urban Area scattered predominantly to the Northern part of its periphery with the increase of urban area from 21.19% in 1990 to 50.91% in 2017. While this urbanization is an on-going process, the population of urban core showed a de-concentration phenomenon in 2015, spreading to its periphery causing some negative implications to the peri-urban area.

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Optical-flow-based approach for the detection of shoreline changes using remote sensing data

Bouchahma M., Barhoumi W., Yan W., Wardi H.

Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA （Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA） 2017-October 184 - 189 2018年03月

共著, ISSN 9781538635810

© 2017 IEEE. This research presents an automatic method to detect and evaluate the shoreline changes from Landsat satellite images. In fact, a method, that we called Lukas-Kanade Adapted for Coastal Changes (LKA2C), has been developed to calculate and detect the changes around the study region. Mainly the proposed method is based on SURF algorithm to detect the study region from the satellite image. Then, Canny edge detector was used on NDWI images to detect the shorelines. Finally, the pyramidal Lukas-Kanade optical flow algorithm was adapted to detect and to calculate the rates of changes. Realized experiments on real satellite images of the island of Djerba in Tunisia proved the effectiveness of the proposed method.

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Comparison of regression model and artificial neural network model for energy benchmarking of accommodation buildings in kanto, Japan

Haitham Alkhalaf, Wanglin Yan

WIT Transactions on Ecology and the Environment 224 （ 1 ） 71 - 82 2017年09月

査読有り, ISSN 1746-448X

© 2017 WIT Press. Energy performance of residential and non-residential buildings is a vital topic because of fast urbanization in the world. The accommodation buildings are considered as high energy intensive comparing to other commercial building' categories. In addition, it has an important contribution in tourism industry. Therefore, variety of models and plans have been applied to reduce the energy consumption of accommodation buildings. This research depends on database of energy consumption of commercial buildings in Japan as main source of data. Data-base for Energy Consumption of Commercial building (DECC) is a national survey, it is disclosed by Japan Sustainable Building Consortium (JSBC). Base on DECC, a benchmark system is developed by applying regression and Artificial Neural Network (ANN) methods to assess the energy performance of accommodation building in Kanto region-Japan. The study investigate the primary energy model of selected samples according to consumption' trends of electricity, gas and clean water. The developed benchmarks by ANN and regression models were compared to ensure a robust benchmark system as a powerful tool for energy performance' assessment. This study points out the necessity to benchmark the energy performance of accommodation buildings and other categories in Japan. In addition, it is important to consider other variables that affect energy use of buildings.

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Conclusion, recommendations and outlook

Wanglin Yan, Rob Roggema

Tsunami and Fukushima Disaster: Design for Reconstruction 187 - 196 2017年05月

査読有り

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Visualisation of minamisoma

Rob Roggema, Luke Middleton, Wanglin Yan

Tsunami and Fukushima Disaster: Design for Reconstruction 113 - 147 2017年05月

査読有り

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Visualisation of Kesennuma

Rob Roggema, Luke Middleton, Wanglin Yan

Tsunami and Fukushima Disaster: Design for Reconstruction 149 - 185 2017年05月

査読有り

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The lessons derived from 2011 Tohoku Earthquake and the repercussion of the myopic decision-making structures

Misato Uehara, Wanglin Yan

Tsunami and Fukushima Disaster: Design for Reconstruction 19 - 37 2017年05月

査読有り

© Springer International Publishing AG 2017. The holistic land use planning process might contribute to reduce the risk of natural disaster and mitigate climate change. This also reduces huge national budget waste for reconstruction and social care after disasters. The aim of this study was to reveal the lessons derived from 2011 Tohoku Earthquake, Tsunami, and the Fukushima nuclear accident. The history of 2011 Tohoku disaster area's land use planning and actual land use change was analyzed. This found that destroyed developments by 2011 disaster have an essentially similar issue; bad repercussions of the myopic decision making structures. It suggests that holistic decision making with interactive land use planning process is important.