bluuebunny/crossref_metadata_2025 huggingface dataset:
“Holiness, War, and Peace”: Ancient Jewish Traditions Concerning the Landscape and Ecology of Jerusalem and Its Environs in the Second Temple Period
Authors: Shemesh Abraham Ofir
Published: August 2018

The Second Temple period is considered both a pinnacle and a low point in the history of Jerusalem. One manifestation of the sharp fluctuations in Jerusalem’s status is its flora and ecology. The current study aims to address the historical events and the Talmudic traditions concerning the flora and landscape of Jerusalem. In the city’s zenith, the Jewish sages introduced special ecological regulations pertaining to its overall urban landscape. One of them was a prohibition against growing plants within the city in order to prevent undesirable odors or litter and thus maintain the city’s respectable image. The prohibition against growing plants within the city did not apply to rose gardens, maybe because of ecological reasons, i.e., their contribution to aesthetics and to improving bad odors in a crowded city. In the city’s decline, its agricultural crops and natural vegetation were destroyed when the beleaguered inhabitants were defeated by Titus’ army. One Talmudic tradition voices hope for the rehabilitation of the flora (“shitim”) around the city of Jerusalem. Haggadic-Talmudic tradition tries to endow Jerusalem with a metaphysical uniqueness by describing fantastic plants that allegedly grew in it in the past but disappeared as a result of its destruction.
An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources
Authors: Cherepovitsyn Alexey , Metkin Dmitry , Gladilin Alexander
Published: August 2018

Currently, under the conditions of increasing depletion of hydrocarbon reserves in Russia, it is necessary to consider the resource potential of poorly-researched oil and gas objects as a factor for ensuring the sustainable development of the oil and gas complex, in the context of the concept formation of rational subsoil utilization and a circular economy. The methodology of this study is based on a clear sequence of geological and economic studies of poorly-researched oil and gas objects, including four stages, such as analysis of the raw material base, assessment of the raw material potential, determination of technological development parameters, and economic evaluation. The methods of the probabilistic estimation of oil resources of the forecasted objects with regard to geological risk are outlined. Software packages “EVA—Risk Analysis” and “EVA—Economic Evaluation of Oil and Gas Field Development Projects” were used for estimation. The result of the study is the determination of the geological and economic efficiency of the development of nine hydrocarbon objects with the determination of the order of their further geological exploration, and introduction into industrial development on the example of the poorly-researched region of the Timan-Pechora oil and gas province located in the Arctic zone.
Ecological Criteria for Comparing Linear and Circular Economies
Authors: Didenko Nikolay I. , Klochkov Yuri S. , Skripnuk Djamilia F.
Published: August 2018

In the present article, the main principles of the circular economy are outlined in contradistinction with the existing and traditional linear economic model. An econometric model describing the influence of the linear economy on the environment is presented. The environment is characterized by seven key processes: change in global temperature; emissions of greenhouse gases from industry to the environment; emissions of greenhouse gases from agriculture to the environment; CO2 emissions into the environment; depletion of fresh water supplies; reduction of forest cover; and economic damage from climatological disasters. The model describing the impact of the traditional linear economy on the environment consists of seven interdependent econometric equations, each comprising an autoregressive distributed lag (ADL)-model. The proposed econometric model is used to analyze the environmental effects of the present linear economy. Methodological provisions for a transformational transition of the traditional linear economic model to the closed-loop systems, which also permit the impact of the closed-loop systems on the environment to be analyzed, are set out. Seven ecological indicators are proposed as criteria for comparing the traditional linear economy and the closed-loop systems. The manuscript presents a new approach for the determination of ecological criteria for comparing linear and circular economies. The results of the study could be interesting to address circular processes, which can be used as a criterion to establish ecological management according to the status of natural resources.
Metals for Fuels? The Raw Material Shift by Energy-Efficient Transport Systems in Europe
Authors: Teubler Jens , Kiefer Sebastian , Liedtke Christa
Published: August 2018

The long-term transition towards a low-carbon transport sector is a key strategy in Europe. This includes the replacement of fossil fuels, modal shifts towards public transport as well as higher energy efficiency in the transport sector overall. While these energy savings are likely to reduce the direct greenhouse gas emissions of transport, they also require the production of new and different vehicles. This study analyses in detail whether final energy savings in the transport sector also induce savings for material resources from nature if the production of future vehicles is considered. The results for 28 member states in 2030 indicate that energy efficiency in the transport sector leads to lower carbon emissions as well as resource use savings. However, energy-efficient transport sectors can have a significant impact on the demand for metals in Europe. An additional annual demand for 28.4 Mt of metal ores was calculated from the personal transport sector in 2030 alone. The additional metal ores from semiprecious metals (e.g., copper) amount to 12.0 Mt, from precious metals (e.g., gold) to 9.1 Mt and from other metals (e.g., lithium) to 11.7 Mt, with small savings for ferrous metal ores (−4.6 Mt).
Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield
Authors: Kawamura Kensuke , Ikeura Hiroshi , Phongchanmaixay Sengthong , Khanthavong Phanthasin
Published: August 2018

Canopy hyperspectral (HS) sensing is a promising tool for estimating rice (Oryza sativa L.) yield. However, the timing of HS measurements is crucial for assessing grain yield prior to harvest because rice growth stages strongly influence the sensitivity to different wavelengths and the evaluation performance. To clarify the optimum growth stage for HS sensing-based yield assessments, the grain yield of paddy fields during the reproductive phase to the ripening phase was evaluated from field HS data in conjunction with iterative stepwise elimination partial least squares (ISE-PLS) regression. The field experiments involved three different transplanting dates (12 July, 26 July, and 9 August) in 2017 for six cultivars with three replicates (n = 3 × 6 × 3 = 54). Field HS measurements were performed on 2 October 2017, during the panicle initiation, booting, and ripening growth stages. The predictive accuracy of ISE-PLS was compared with that of the standard full-spectrum PLS (FS-PLS) via coefficient of determination (R2) values and root mean squared errors of cross-validation (RMSECV), and the robustness was evaluated by the residual predictive deviation (RPD). Compared with the FS-PLS models, the ISE-PLS models exhibited higher R2 values and lower RMSECV values for all data sets. Overall, the highest R2 values and the lowest RMSECV values were obtained from the ISE-PLS model at the booting stage (R2 = 0.873, RMSECV = 22.903); the RPD was >2.4. Selected HS wavebands in the ISE-PLS model were identified in the red-edge (710–740 nm) and near-infrared (830 nm) regions. Overall, these results suggest that the booting stage might be the best time for in-season rice grain assessment and that rice yield could be evaluated accurately from the HS sensing data via the ISE-PLS model.
Use of the SAR Shadowing Effect for Deforestation Detection with Sentinel-1 Time Series
Authors: Bouvet Alexandre , Mermoz Stéphane , Ballère Marie , Koleck Thierry , Le Toan Thuy
Published: August 2018

To detect deforestation using Earth Observation (EO) data, widely used methods are based on the detection of temporal changes in the EO measurements within the deforested patches. In this paper, we introduce a new indicator of deforestation obtained from synthetic aperture radar (SAR) images, which relies on a geometric artifact that appears when deforestation happens, in the form of a shadow at the border of the deforested patch. The conditions for the appearance of these shadows are analyzed, as well as the methods that can be employed to exploit them to detect deforestation. The approach involves two steps: (1) detection of new shadows; (2) reconstruction of the deforested patch around the shadows. The launch of Sentinel-1 in 2014 has opened up opportunities for a potential exploitation of this approach in large-scale applications. A deforestation detection method based on this approach was tested in a 600,000 ha site in Peru. A detection rate of more than 95% is obtained for samples larger than 0.4 ha, and the method was found to perform better than the optical-based UMD-GLAD Forest Alert dataset both in terms of spatial and temporal detection. Further work needed to exploit this approach at operational levels is discussed.
Automated Cobble Mapping of a Mixed Sand-Cobble Beach Using a Mobile LiDAR System
Authors: Matsumoto Hironori , Young Adam P.
Published: August 2018

Cobbles (64–256 mm) are found on beaches throughout the world, influence beach morphology, and can provide shoreline stability. Detailed, frequent, and spatially large-scale quantitative cobble observations at beaches are vital toward a better understanding of sand-cobble beach systems. This study used a truck-mounted mobile terrestrial LiDAR system and a raster-based classification approach to map cobbles automatically. Rasters of LiDAR intensity, intensity deviation, topographic roughness, and slope were utilized for cobble classification. Four machine learning techniques including maximum likelihood, decision tree, support vector machine, and k-nearest neighbors were tested on five raster resolutions ranging from 5–50 cm. The cobble mapping capability varied depending on pixel size, classification technique, surface cobble density, and beach setting. The best performer was a maximum likelihood classification using 20 cm raster resolution. Compared to manual mapping at 15 control sites (size ranging from a few to several hundred square meters), automated mapping errors were <12% (best fit line). This method mapped the spatial location of dense cobble regions more accurately compared to sparse and moderate density cobble areas. The method was applied to a ~40 km section of coast in southern California, and successfully generated temporal and spatial cobble distributions consistent with previous observations.
Design of a Multiband Global Navigation Satellite System Radio Frequency Interference Monitoring Front-End with Synchronized Secondary Sensors
Authors: Morrison Aiden , Sokolova Nadezda , Curran James
Published: August 2018

This paper investigates the challenges of developing a multi-frequency radio frequency interference (RFI) monitoring and characterization system that is optimized for ease of deployment and operation as well as low per unit cost. To achieve this, we explore the design and development of a multiband global navigation satellite system (GNSS) front-end which is intrinsically capable of synchronizing side channel information from non-RF sensors, such as inertial measurement units and integrated power meters, to allow the simultaneous production of substantial amounts of sampled spectrum while also allowing low-cost, real-time monitoring and logging of detected RFI events. While the inertial measurement unit and barometer are not used in the RFI investigation discussed, the design features that provide for their precise synchronization with the RF sample stream are presented as design elements worth consideration. The designed system, referred to as Four Independent Tuners with Data-packing (FITWD), was utilized in a data collection campaign over multiple European and Scandinavian countries in support of the determination of the relative occurrence rates of L1/E1 and L5/E5a interference events and intensities where it proved itself a successful alternative to larger and more expensive commercial solutions. The dual conclusions reached were that it was possible to develop a compact low-cost, multi-channel radio frequency (RF) front-end that implicitly supported external data source synchronization, and that such monitoring systems or similar capabilities integrated within receivers are likely to be needed in the future due to the increasing occurrence rates of GNSS RFI events.
GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing
Authors: Zamora Willian , Vera Elsa , Calafate Carlos T. , Cano Juan-Carlos , Manzoni Pietro
Published: August 2018

Noise pollution is an emerging and challenging problem of all large metropolitan areas, affecting the health of citizens in multiple ways. Therefore, obtaining a detailed and real-time map of noise in cities becomes of the utmost importance for authorities to take preventive measures. Until now, these measurements were limited to occasional sampling made by specialized companies, that mainly focus on major roads. In this paper, we propose an alternative approach to this problem based on crowdsensing. Our proposed architecture empowers participating citizens by allowing them to seamlessly, and based on their context, sample the noise in their surrounding environment. This allows us to provide a global and detailed view of noise levels around the city, including places traditionally not monitored due to poor accessibility, even while using their vehicles. In the paper, we detail how the different relevant issues in our architecture, i.e., smartphone calibration, measurement adequacy, server design, and client–server interaction, were solved, and we have validated them in real scenarios to illustrate the potential of the solution achieved.
Energy-Aware Control of Error Correction Rate for Solar-Powered Wireless Sensor Networks
Authors: Kang Minjae , Noh Dong Kun , Yoon Ikjune
Published: August 2018

In a wireless sensor network (WSN) environment with frequent errors, forward error correction (FEC) is usually employed at the link layer to achieve reliable transmission. In the FEC scheme, the error correction rate varies depending on the length of parity used for the recovery of broken data. The longer the parity length, the higher the possible error correction rate. However, this also means that the energy consumption increases. Meanwhile, in a solar-powered WSN, the energy of each node can be periodically collected, but the amount of collected energy varies drastically depending on the harvesting environment, including factors such as the weather, season and time of day. Therefore, each node must control energy consumption according to the energy harvesting rate. The scheme proposed in this study executes this control by adaptively adjusting the parity length of FEC according to the given energy budget of a node for the next period. This means that the error recovery rate can be increased as much as possible without adversely affecting the blackout time. Simulation results show that the proposed scheme improves the amount of data collected from the entire network for each environment compared with previous schemes.
Reducing Humidity Response of Gas Sensors for Medical Applications: Use of Spark Discharge Synthesis of Metal Oxide Nanoparticles
Authors: Vasiliev Alexey A. , Varfolomeev Andrey E. , Volkov Ivan A. , Simonenko Nikolay P. , Arsenov Pavel V. , Vlasov Ivan S. , Ivanov Victor V. , Pislyakov Alexander V. , Lagutin Alexander S. , Jahatspanian Igor E. , Maeder Thomas
Published: August 2018

The application of gas sensors in breath analysis is an important trend in the early diagnostics of different diseases including lung cancer, ulcers, and enteric infection. However, traditional methods of synthesis of metal oxide gas-sensing materials for semiconductor sensors based on wet sol-gel processes give relatively high sensitivity of the gas sensor to changing humidity. The sol-gel process leading to the formation of superficial hydroxyl groups on oxide particles is responsible for the strong response of the sensing material to this factor. In our work, we investigated the possibility to synthesize metal oxide materials with reduced sensitivity to water vapors. Dry synthesis of SnO2 nanoparticles was implemented in gas phase by spark discharge, enabling the reduction of the hydroxyl concentration on the surface and allowing the production of tin dioxide powder with specific surface area of about 40 m2/g after annealing at 610 °C. The drop in sensor resistance does not exceed 20% when air humidity increases from 40 to 100%, whereas the response to 100 ppm of hydrogen is a factor of 8 with very short response time of about 1 s. The sensor response was tested in mixtures of air with hydrogen, which is the marker of enteric infections and the marker of early stage fire, and in a mixture of air with lactate (marker of stomach cancer) and ammonia gas (marker of Helicobacter pylori, responsible for stomach ulcers).
Surface-Plasmon-Resonance-Based Optical Fiber Curvature Sensor with Temperature Compensation by Means of Dual Modulation Method
Authors: Su Yudong , Wei Yong , Zhang Yonghui , Liu Chunlan , Nie Xiangfei , Zhu Zongda , Liu Lu
Published: August 2018

Curvature measurement plays an important role in many fields. Aiming to overcome shortcomings of the existing optical fiber curvature sensors, such as complicated structure and difficulty in eliminating temperature noise, we proposed and demonstrated a simple optical fiber curvature sensor based on surface plasmon resonance. By etching cladding of the step-index multimode fiber and plating gold film on the bare core, the typical Kretschmann configuration is implemented on fiber, which is used as the bending-sensitive region. With increases in the curvature of the optical fiber, the resonance wavelength of the SPR (Surface Plasmon Resonance) dip linear red-shifts while the transmittance decreases linearly. In the curvature range between 0 and 9.17 m−1, the wavelength sensitivity reached 1.50 nm/m−1 and the intensity sensitivity reached −3.66%/m−1. In addition, with increases in the ambient temperature, the resonance wavelength of the SPR dips linearly blueshifts while the transmittance increases linearly. In the temperature range between 20 and 60 °C, the wavelength sensitivity is −0.255 nm/°C and the intensity sensitivity is 0.099%/°C. The sensing matrix is built up by combining the aforementioned four sensitivities. By means of the dual modulation method, the cross-interference caused by temperature change is eliminated. Additionally, simultaneous measurement of curvature and temperature is realized.
Energy-Aware Control of Data Compression and Sensing Rate for Wireless Rechargeable Sensor Networks
Authors: Yoon Ikjune , Noh Dong Kun
Published: August 2018

Wireless rechargeable sensor nodes can collect additional data, which leads to an increase in the precision of data analysis, when enough harvested energy is acquired. However, because such nodes increase the amount of sensory data, some nodes (especially near the sink) may blackout because more transmitted data can make relaying nodes expend more energy. In this paper, we propose an energy-aware control scheme of data compression and sensing rate to maximize the amount of data collected at the sink, while minimizing the blackout time. In this scheme, each dominant node determines the data quota that all its descendant nodes can transmit during the next period, which operates with an efficient energy allocation scheme. Then, the node receiving the quota selects an appropriate data compression algorithm and sensing rate according to both its quota and allocated energy during the next period, so as not to exhaust the energy of nodes near the sink. Experimental results verify that the proposed scheme collects more data than other schemes, while suppressing the blackout of nodes. We also found that it adapts better to changes in node density and harvesting environments.
Design, Fabrication and Testing of a High-Sensitive Fibre Sensor for Tip Clearance Measurements
Authors: Durana Gaizka , Amorebieta Josu , Fernandez Ruben , Beloki Josu , Arrospide Eneko , Garcia Iker , Zubia Joseba
Published: August 2018

A highly sensitive fibre bundle-based reflective optical sensor has been designed and fabricated for Tip Clearance measurements in a turbine rig. The sensor offers high spatial and temporal resolution. The sensor probe consists of a single-mode transmitting fibre and two concentric rings of receiving multimode fibres that collect reflected light in a differential detection gain configuration, yielding a highly linear calibration curve for distance measurements. The clearance measurement range is approximately 2 mm around the central point fixed at 3.2 mm from the probe tip, and the sensitivity of the probe is 61.73 mm−1. The fibre bundle has been designed to ensure that the distance security specifications required for the experimental program of the turbine are met. The optical sensor has operated under demanding conditions set by the blade and casing design. The experimental results obtained so far are promising and lead us to think that the optical sensor has great potential for online clearance measurements with high precision.
Economically Incentivising Smart Urban Regeneration. Case Study of Port Louis, Mauritius
Authors: Allam Zaheer , Newman Peter
Published: August 2018

Port Louis, the capital city of Mauritius, has been the preferred city for hosting the judicial, political and business activities of the country for the past two centuries. However, new policies have created nine new smart cities in greenfield locations within 10 km from Port Louis, so the capital city is facing economic decline as it is losing businesses, as well as administrative functions. This loss equates to an erosion in municipal revenue along with a reduced interest in contributing to the development of the city; all of which takes a toll on its urban economic landscape, as well as on the broader Mauritian economy. This paper builds from the findings of a focus group study to propose a smart urban regeneration model for the City of Port Louis, which could enable the old city to be restored and regenerated rather than redeveloped in modernist architecture, as has happened in the new smart cities model. A smart urban regeneration model is proposed backed by the pillars of smart infrastructure, culture, metabolism and governance. The proposed model is applied to the context of Port Louis to generate an urban regeneration scheme. The potential benefits in terms of financial outcomes, investment attraction and job creation are explored through a combined application of econometric forecasting models. The results support positive figures of both investment and job creation, and the findings of this study aim at informing and providing the governing bodies of Port Louis with a tangible solution for revamping the centuries-old capital city, as well as demonstrating to the world that smart cities can mean sensitive urban regeneration.
What Meritocracy Means to its Winners: Admissions, Race, and Inequality at Elite Universities in The United States and Britain
Authors: Warikoo Natasha
Published: August 2018

How do winners of processes of meritocracy make sense of those processes, especially in the face of forceful public critiques of their unequal outcomes? In this paper I analyze the meaning-making with respect to merit in university admissions of White, native-born undergraduates attending elite American and British universities. I find that United States students support the “calibration” of evaluations of merit, and emphasize evaluations of applicants’ contributions to the “collective merit” of their university cohorts. British students espouse a universalist, individualist understanding of merit. While conceptions of merit differed across national contexts, students in both reproduced the notions of merit espoused by their universities. I conclude that in spite of a long history of student protest on college campuses, rather than engagement with symbolic politics on liberal-identified campuses, self-interest in status legitimation dominates student perspectives, ultimately reproducing understandings of merit that will reproduce inequality. The paper draws upon 98 one-on-one in-depth interviews with White, native-born undergraduates attending Harvard University, Brown University, and University of Oxford.
The Personal is Political: Assessing Feminist Fundamentals in the Digital Age
Authors: Rogan Frances , Budgeon Shelley
Published: August 2018

The ‘personal is political’ has long been recognised as the definitive slogan of second-wave feminism but can it still inform our understanding of the contemporary practice of feminism? Questioning the importance of this claim now invites us to critically reflect upon the trajectory Western feminism has followed in light of the efforts made by the Women’s Liberation movement to politicise formerly unquestioned aspects of social relations. In this paper, the significance of this feminist slogan will be assessed by locating it within two broadly defined historical periods. Firstly we identify the critical work performed by the ideas expressed in the slogan in the early years of the 1970s and then assess their continued relevance within the context of the early 21st century. Drawing upon the empirical analysis of young women’s experience of and relationship to feminism via their engagement with social media in Britain, this research critically assesses digital spaces as places where young women explore their personal experiences. We aim to understand how this may constitute a contemporary form of feminist practice consistent with the claim that ‘the personal is political’.
Prescribing Target Running Intensities for High-School Athletes: Can Forward and Backward Running Performance Be Autoregulated?
Authors: Uthoff Aaron , Oliver Jon , Cronin John , Winwood Paul , Harrison Craig
Published: August 2018

Target running intensities are prescribed to enhance sprint-running performance and progress injured athletes back into competition, yet is unknown whether running speed can be achieved using autoregulation. This study investigated the consistency of running intensities in adolescent athletes using autoregulation to self-select velocity. Thirty-four boys performed 20 m forward running (FR) and backward running (BR) trials at slow, moderate and fast intensities (40–55%, 60–75% and +90% maximum effort, respectively) on three occasions. Absolute and relative consistency was assessed using the coefficient of variation (CV) and intraclass correlation coefficients (ICC). Systematic changes in 10 and 20 m performance were identified between trials 1–2 for moderate and fast BR (p ≤ 0.01) and during moderate BR over 20 m across trials 2–3 (p ≤ 0.05). However, comparisons between trials 2–3 resulted in low typical percentage error (CV ≤ 4.3%) and very good to excellent relative consistency (ICC ≥ 0.87) for all running speeds and directions. Despite FR being significantly (p ≤ 0.01) faster than BR at slow (26%), moderate (28%) and fast intensities (26%), consistency was similar in both running directions and strongest at the fastest speeds. Following appropriate familiarization, youth athletes may use autoregulation to self-select prescribed FR and BR target running intensities.
Construction of a Self-Powered System for Simultaneous In Situ Remediation of Nitrate and Cr(VI) Contaminated Synthetic Groundwater and River Sediment
Authors: Han Limei , Liu Rui , Li Miao , Zhang Ning , Zhang Fang , Liu Xiang
Published: August 2018

A novel self-powered system was constructed to in situ remove nitrate and Cr(VI) from synthetic groundwater and achieve river sediment remediation simultaneously. The sediment organic matter in an anodic chamber was used as a carbon source to provide self-powered energy to reduce the cathode’s contaminants. With the acceptance of protons and electrons, nitrate and Cr(VI) were transformed into nitrite and Cr(III), respectively. In a 72 h test with both nitrate and Cr(VI) present, nitrate was removed at a rate of 70.96 mg/m3·h and Cr(VI) at a rate of 8.95 mg/m3·h. When a phosphate buffer was used in the test, their removal rates were changed to 140.83 mg/m3·h and 8.33 mg/m3·h, respectively. The results showed that the self-powered system could achieve the simultaneous reduction of nitrate and Cr(VI), although the presence of Cr(VI) hindered nitrate reduction. This system could realize simultaneous in situ groundwater and sediment remediation, with no need for additional energy or materials.
Exploring Technological Trends in Logistics: Topic Modeling-Based Patent Analysis
Authors: Choi Donghyun , Song Bomi
Published: August 2018

With the strategic importance of discerning opportunities and threats from technological development to achieve sustainable competitiveness, exploring technological trends becomes critical for a successful technology strategy in logistics. Given the rapid pace of development and varying technological options, logistics also increasingly requires methodological support and appropriate data to reduce the complexity and burden of exploring technology trends. While previous research has largely relied on experts’ insights, the value of patent-based approaches for exploring technological trends has been underestimated in logistics. To address this gap, this study proposes a topic modeling-based approach using logistics-related patents registered at the United States Patents and Trademark Office (USPTO). The core of the suggested approach is latent Dirichlet allocation (LDA), allowing the identification of logistics-related technological topics behind patents. The topics identified by LDA are further investigated regarding both filed-level and firm-level trends. The suggested approach is expected to offer implications of the use of patents for the purpose of exploring the trends of technology development outside the organization in logistics. In addition, we believe that the information on the technological topics and their trends generated by the suggested approach can offer an enhanced understanding of the technological landscape in logistics.
Modeling the Social Factors That Determine Sustainable Consumption Behavior in the Community of Madrid
Authors: Figueroa-García Edna C. , García-Machado Juan J. , Pérez-Bustamante Yábar Diana C.
Published: August 2018

This paper defines the social factors that determine sustainable behavior and identifies the elements that promote such behavior. These factors are external from the individual and causal regarding sustainable behavior, an area that receives little attention in literature. It uses a theoretical model, based on existing research, which is tested through a questionnaire with 26 indicators adapted to the Spanish context. In an initial analysis, this model proposed, as determining social factors in the CCS, aspects such as government action, social pressure, influence of the social environment, demographic variables (age, gender, education level), education and information, and market conditions. Finally, it was concluded that 43.4% of the variance of the endogenous latent variable (SCC) can be explained only by three exogenous latent constructions: environmental influences (in particular the influence of family and friends, as well as that generated by cultural factors such as traditions), education and information (specifically related to information on sustainability and the effects of personal consumption on the environment), and market conditions (referring to the positive perception of sustainable products by consumers, including their willingness to pay higher prices than those of conventional products). The rest of the exogenous variables did not have a significant relationship with the endogenous variable. These results are very useful for government institutions, companies that operate in the sector and pro-environmental and pro-social groups, that knowing what motivates people to adopt this form of behavior can design relevant strategies to get positive answers about the environment, the economy and the society.
Paris Agreement, Precautionary Principle and Human Rights: Zero Emissions in Two Decades?
Authors: Ekardt Felix , Wieding Jutta , Zorn Anika
Published: August 2018

The Paris Agreement of December 2015 is subject to much criticism of being inadequate. This however neglects its very ambitious objective, which limits legally-binding global warming to 1.5 to 1.8 degrees in comparison to pre-industrial levels. This article shows, based on the overlap of unanswered questions for prognoses in natural science and the legal precautionary principle, that this objective indicates a legal imperative towards zero emissions globally within a short timeframe. Furthermore, it becomes apparent that policies need to be focused on achieving the 1.5-degree temperature limit. From a legal standpoint with regard to existential matters, only those policies are justified that are fit to contribute to reaching the temperature limit with high certainty, without overshoot, without leaving the 1.5 limit aside and without geoengineering measures, in contrast to the tendencies of the IPCC. This creates a big challenge even for the alleged forerunners of climate policies, Germany and the EU; because, according to the objective, the EU and Germany have to raise the level of ambition in their climate policies rapidly and drastically.
Why the Uncertain Term Occurs in the Farmland Lease Market: Evidence from Rural China
Authors: Zou Baoling , Luo Biliang
Published: August 2018

Urbanization and aging of the agricultural population lead to the insufficient supply of agricultural labor and land being idle in rural China, calling for the farmland lease market to maintain sustainable and efficient use of farmland. However, rural households tend to agree on an uncertain term for farmland leasing in/out, which leads to low efficiency and land loss in agriculture. Therefore, using the survey data collected from 2704 rural households and a logistic regression model, we examine the effects of risk faced by the rural households on the likelihood of the uncertain term for farmland leasing. Results reveal that a large share of labor with low education and high income increase the likelihood of an uncertain term for farmland leasing out activities, while a high disaster frequency, a high education of household and a high share of agricultural income increase the probability of an uncertain term for farmland leasing in activities. Additionally, leasing farmland to/from relatives or neighbors, informal contracts, low rent and the lack of pension insurance also increase the likelihood of the uncertain term for farmland leasing out/in activities. Findings suggest that more attention should be paid to education, agricultural insurance and social security system in rural areas.
Costs and Benefits of Implementing Green Building Economic Incentives: Case Study of a Gross Floor Area Concession Scheme in Hong Kong
Authors: Fan Ke , Chan Edwin H. W. , Chau C. K.
Published: August 2018

Economic incentives are widely used to promote green buildings (GB) and consume social resources. However, few studies evaluate the costs and benefits of implementing economic incentives, including hidden costs and benefits. This paper applies cost–benefits analysis (CBA) and transaction cost (TC) theory to systematically evaluate the costs and benefits of implementing the green building economic incentives, with focused study on the Gross Floor Area (GFA) Concession Scheme in Hong Kong. The data of costs and benefits indicate how the GFA Concession Scheme motivates stakeholders and how much it benefits the built environment, which provides a solid foundation for the improvement of the GFA Concession Scheme. Expert interviews were conducted to verify and compliment the new CBA framework and provide empirical evidence for policy-makers and researchers to better understand the allocation of costs and benefits. The results show that the effectiveness of the GFA Concession Scheme is readily justified even if it has caused a lot of extra transaction costs and actual costs. A 10% GFA concession attracts developers to enter the GB market but discourages them to go for a higher level of GB. It is the right time to differentiate the GFA concession to promote a higher level of GB.
Logistics Space: A Literature Review from the Sustainability Perspective
Authors: He Meiling , Shen Jiaren , Wu Xiaohui , Luo Jianqiang
Published: August 2018

The acceleration of economic globalization and integration has led to a dramatic increase in the flow of goods worldwide and changes in the spatial location of logistics facilities. The location of logistics facilities affects not only the cost and efficiency of cargo transportation activities, but also the rational allocation of logistics resources. Recently, the two major perspectives of logistics space research—cluster (the concentration of logistics facilities and functions in geography) and sprawl (movement of facilities from the urban core to peripheral places) have received extensive attention from academia and policy makers. The evolution of logistics space is influenced by land prices, traffic accessibility, market demand, agglomeration advantages and government policies. The purpose of this study is to present a literature review of logistics space, including data sources, research methods as well as research theories, and to study the impact of logistics space from the perspective of sustainable development. The research results provide some reference for logistics space researchers and logistics facility planners, and play a role in formulating new logistics development strategies and promoting the sustainable development of logistics.
The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator
Authors: Stević Željko , Pamučar Dragan , Subotić Marko , Antuchevičiene Jurgita , Zavadskas Edmundas Kazimieras
Published: August 2018

An adequately functionally located traffic infrastructure is an important factor in the mobility of people because it affects the quality of traffic, safety and efficiency of carrying out transportation activities. Locating a roundabout on an urban network is an imperative for road engineering to address traffic problems such as reduction of traffic congestion, enhancement of security and sustainability, etc. Therefore, this paper evaluates potential locations for roundabout construction using Rough BWM (Best Worst Method) and Rough WASPAS (Weighted Aggregated Sum Product Assessment) models. Determination of relative criterion weights on the basis of which the potential locations were evaluated was carried out using the Rough BWM method. In this paper, in order to enable the most precise consensus for group decision-making, a Rough Hamy aggregator has been developed. The main advantage of the Hamy mean (HM) operator is that it can capture the interrelationships among multi-input arguments and can provide DMs more options. Until now, there is no research based on HM operator for aggregating imprecise and uncertain information. The obtained indicators are described through eight alternatives. The results show that the fifth and sixth alternatives are the locations that should have a priority in the construction of roundabouts from the perspective of sustainable development, which is confirmed throughout changes of parameter k and with comparing to other methods in the sensitivity analysis.
A Comparison of Markov Chain Random Field and Ordinary Kriging Methods for Calculating Soil Texture in a Mountainous Watershed, Northwest China
Authors: Li Jinlin , Zhang Lanhui , He Chansheng , Zhao Chen
Published: August 2018

Accurate mapping the spatial distribution of different soil textures is important for eco-hydrological studies and water resource management. However, it is quite a challenge to map the soil texture in data scarce, hard to access mountainous watersheds. This paper compares a nonlinear method, the Markov chain random field (MCRF) with a classical linear method, ordinary kriging (OK) for calculating the soil texture at different search radiuses in the upstream region of the Heihe River Watershed. Results show that soil texture values that were calculated by the OK method tends to predict soil texture values within a certain range (sand (12.098~40.317), silt (47.847~71.231), and clay (12.781~19.420)) because of the smoothing effect, thus leading to greater accuracy in predicting the major soil texture type (silt loam). Nonetheless, the MCRF method considers the interclass relationships between sampling points, leading to greater accuracy in predicting minor types (loam and sandy loam). Meanwhile, the OK method performed best for all the types at the radius of 65 km influenced by the densities of all the sampling points, while the best performance of the MCRF method differs with radiuses as the largest densities varying for different soil types. For loam and sandy loam, the OK method ignored them, thus the MCRF method is more suitable in mountainous areas with high soil heterogeneity.
Blue and Green Water Footprint Assessment for China—A Multi-Region Input–Output Approach
Authors: Hou Siyu , Liu Yu , Zhao Xu , Tillotson Martin R. , Guo Wei , Li Yiping
Published: August 2018

Research on blue and green water footprints (WF) for China has typically been carried out based on bottom-up and top-down approach using a single-region input–output table. However, this research typically lacks detail on the sectoral interrelationships which exist between China and its trading partners in other countries/regions of the world. Here, a multi-region input–output approach using the WIOD database was applied to quantify the blue and green WF for China in 2009. The quantification was conducted from both production (WFP) and consumption (WFC) perspectives. The results show that the total WFP for China in 2009 was 1152.2 km3, second only to India. At 1070.9 km3, China had the largest WFC volume in the world. The internal WF was 953.5 km3, taking the substantial share for both the WFC and WFP. Overall, China’s trade resulted in a net export of 53.5 km3 virtual water. In contrast, the agricultural sector resulted in a net import of 70.6 km3 virtual water to China, with United States, Brazil, and Canada acting as major suppliers. This study suggests that quantifying the WF of China at global level through a MRIO framework is a necessary step towards achieving sustainability for China’s water management.
Does Institutional Context Affect CSR Disclosure? A Study on Eurostoxx 50
Authors: Coluccia Daniela , Fontana Stefano , Solimene Silvia
Published: August 2018

We propose to investigate the relationship between corporate social responsibility disclosure and institutional/environmental factors among a sample of European listed companies. We find that, by using several traditional explicative variables, institutional factors affect the level of CSR disclosure, in a context where the EU Commission has been paying growing attention to social and environmental accountability of listed companies (see the EU Dir. 95/2014). Our findings are further supported by multivariate regression, where ESG score (measure of CSR disclosure) is regressed on nine variables which represent the expression of institutional factors. By looking at the institutional determinants of CSR disclosure, we are seeking to pose a challenge for future research agenda, in order to understand whether CSR does actually reflect an effective commitment of firms to accounting practices and rules, as a form of social behavior, or whether it is just a tool to manage stakeholders’ perception and to comply with regulation.
Niche Evolution of China’s Provincial Social–Economic–Natural Complex Ecosystems, 2005–2015
Authors: Jiang Yuantong , Sun Shoukai , Wang Yening , Zheng Shuanning
Published: August 2018

The ecological niche of a complex regional ecosystem reflects the fit of various human activities and the advantages and disadvantages of the environment in the region. This study examined China’s comprehensive niches of the compound social–economic–natural ecological system during the “11th Five-Year” and “12th Five-Year” periods using a Full Permutation Polygon Synthetic Indicator method. The results showed that before the 11th Five-Year period, the levels of comprehensive niches in the country were generally low, and, by the end of the 11th Five-Year period, the comprehensive niche levels in Beijing, Tianjin, and the eastern coastal regions each exceeded 0.40. During the 12th Five-Year period, after the ecological civilization construction plans were implemented, the average national comprehensive ecological level reached 0.57, the comprehensive ecological niche levels in eastern coastal areas reached more than 0.84, those in southern regions and some developed middle and western regions were greater than 0.72, and, in central regions, the levels were between 0.50–0.70. This shows that the concept of compound sustainable natural–societal–economic ecosystem development was incorporated into planning and used to guide local policies and assessment criteria for regional development. This paper compares the advantages and disadvantages of regional development plans through time, and can be used to promote coordinated and sustainable regional development.
Social Integration Measurement of Inhabitants in Historic Blocks: The Case of Harbin, China
Authors: Cai Zihan , Lu Ming
Published: August 2018

The inhabitants of historic blocks require more social and planning consideration. A basic means to achieve inclusive planning and social sustainability in such areas is to quantitatively study the social integration of their inhabitants. Based on social survey data for the inhabitants of Harbin’s Central Street and DaoWai historic block in China, this paper establishes the measurement factors that affect inhabitant social integration to construct a measurement model. Statistical analysis is performed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The analysis results reveal five dimensions of inhabitant social integration: behavioral integration, cultural integration, industrial integration, spatial integration, and management integration. Subsequently, the statistical scores for social integration and related factors are calculated. The empirical results indicate that the level of the inhabitant social integration has an impact on the vitality and sustainable development of the blocks. The social integration score of the inhabitants of Central Street is higher than that of the inhabitants of the DaoWai historic block. Among the five dimensions, the industrial integration level of Central Street is the highest, whereas the spatial integration level of DaoWai historic block is the highest. The level of management integration is the lowest for both blocks. The difference in the levels of industrial integration between the two blocks is the highest, and cultural integration is the lowest. Comparing the status quo of the two blocks, the paper concludes that the promotion of inhabitant social integration requires enhancing the dimensions with lower measurement scores according to the specific conditions of the block. In this manner, a fundamental theory for a socially inclusive revitalization of historic blocks is established, thus to enhance social sustainability.