Showing papers in "Sustainable Cities and Society in 2019"

TL;DR: A review of studies developing data-driven models for building scale applications with a focus on the input data characteristics and data pre-processing methods, the building typologies considered, the targeted energy end-uses and forecasting horizons, and accuracy assessment.

TL;DR: In this article, a systematic review of the smart and sustainable cities literature is presented, which highlights the need for a post-anthropocentric approach in practice and policymaking for the development of truly smart cities.

TL;DR: In this paper, the authors examined the relationship between economic growth and the ecological footprint as it relates to biocapacity and human capital and found that economic growth increases ecological footprint that contributes to environmental degradation.

TL;DR: In this paper, the authors explored the impact of urbanization on carbon dioxide emissions in Pakistan and found that there was cointegation among the variables and that urbanization was found enhancing carbon emissions both in the long run and short run.

TL;DR: In this paper, the authors reviewed the scientific and technical literature about urban resilience highlighting its definitions, dimensions, application areas, characteristics and challenges and opportunities, and concluded that urban resilience is based on four basic pillars: resisting, recovering, adapting and transforming.

TL;DR: Wang et al. as mentioned in this paper applied performance-based planning to assess the impact of urban building morphology on local climate surface temperatures under different wind conditions during 2017 in Shanghai, China using multi-source data, such as frontal area density (FAD), local climatic zone classification, land surface temperature (LST) data, and geographic information.

TL;DR: In this article, the authors used hierarchical clustering and principal component analysis (PCA) to rank 28 European capital cities based on how smart and sustainable they are, and found that Berlin and other Nordic capital cities lead the ranking, while Sofia and Bucharest obtained the lowest rank scores.

TL;DR: In this article, the authors investigated the causal relationship between PM2.5 and economic growth, Foreign Direct Investment (FDI), and industrial structure in the long-term, while there is bilateral causality between the Air Quality Index and the other variables.

TL;DR: This paper classifies the smart parking systems while considering soft and hard design factors, and overviews the enabling technologies and sensors which have been commonly used in the literature.

TL;DR: In this article, a multi-objective design of a hybrid system composed of photovoltaic (PV), fuel cell (FC) and diesel generator (DG) to supply electric power of an off-grid community in Kerman, south of Iran in the presence of operating reserve (OR) and uncertainties of load and solar power is presented.

TL;DR: In this article, the boundary of the green building-based UHIM system is defined and the potentials to establish the GB-based system are further analyzed in aspects of the UHI impacts on the GB benefits and the principle for heat mitigation.

TL;DR: In this paper, the authors investigated the impact of energy consumption, urbanization and economic growth on emerging economies' ecological footprints over the period from 1971 to 2014, and found that urbanization increases the ecological footprint, but the moderating effects of economic growth and urbanization reduce the ecological footprints, reducing environmental degradation in Next-11 countries.

TL;DR: A survey of the theoretical and practical challenges and opportunities of CPSs in smart cities are enumerated not only in terms of their technical aspects, but also in Terms of policy and governance issues of concern.

TL;DR: The concept of nature-based solutions (NBS) as mentioned in this paper is proposed to address social, economic and environmental sustainability issues simultaneously, thereby presenting a multifunctional, solution-oriented approach to increasing urban sustainability.

TL;DR: Wang et al. as discussed by the authors investigated how background temperature affects performances of cool/hot sources in either enhancing or mitigating land surface temperature (LST) in Shenyang, China based on Landsat 8 image.

TL;DR: Wang et al. as discussed by the authors explored the relationship between those variables and 30 national electric vehicle market shares for the year 2015, and found that chargers' density, fuel price and road priority are significantly positive factors correlated with a country`s EV market share.

TL;DR: In this article, the authors developed a protocol for the precinct ventilation characterization based on the pluridisciplinary method and derived a precinct ventilation zone system according to the compactness + building height + street structure.

TL;DR: Geothermal heat is an energy source that is local, reliable, resilient, environmentally-friendly, and sustainable as mentioned in this paper, and has different applications, such as heating and cooling of buildings, generating electricity, providing warm/cold water for agricultural products in greenhouses, and balneological use.

TL;DR: In this paper, a stakeholder-driven structured methodology is presented which identifies and ranks context-relevant indicators and assigns weights for aggregating indicator scores by applying analytic hierarchy process (AHP).

TL;DR: In this article, a systematic and exhaustive literature review, coupled with critical content analysis, was conducted to identify the potential role of Information and Communications Technology (ICT) in citizen participation as a major contributor towards smart sustainable cities.

TL;DR: This paper introduces an integrated simulation environment that combines CitySim, a fast building energy simulator, and TensorFlow, a platform for efficient implementation of advanced machine learning algorithms, and presents two case studies for energy savings and demand response.

TL;DR: This study proposes a hybrid AQI forecasting model that had a high rate of correct AQI class forecasting, which existing single models cannot achieve, while other hybrid models can only reflect AQI series trends with limited prediction accuracy.

TL;DR: In this paper, a subjective questionnaire survey with field measurements was carried out on a university campus in Guangzhou in southern China, and the results revealed strong linear relationships between operative temperature and mean radiant temperature (Tmrt), WBGT, PET, SET*, UTCI, as well as PMV.

TL;DR: This study investigated the accuracy of most popular ML models in the prediction of buildings heating and cooling loads carrying out specific tuning for each ML model and using two simulated building energy data generated in EnergyPlus and Ecotect and compared the results.

TL;DR: Wang et al. as mentioned in this paper investigated the effects of urbanization and industrialization on China's carbon emissions and found that urbanization level is the main driving force to promote decoupling elasticity, contributing to a significant increase in carbon emissions.

TL;DR: A conceptual framework for understanding street visual walkability is proposed and deep learning technologies are employed to segment and extract physical features from Baidu Map Street View (BMSV) imagery using the case of Shenzhen City in China.

TL;DR: Li et al. as discussed by the authors measured the efficiency of urban land use in different typical cities and estimate the effects of key driving factors using 35 large and medium-sized cities data during 2007-2015.

TL;DR: Wang et al. as discussed by the authors provided a MCDM approach to assess and rank the resilience of 187 smart cities in China and found that the overall resilience of smart cities is at a relatively low level.

TL;DR: It is demonstrated that energy storage systems are a potential remedy for high demand charges from fast-charging, by explicitly considering the electricity demand charges in the optimal deployment problem of fast- charging stations for battery electric bus systems.

TL;DR: In this paper, a hybrid Best Worst Method (BWM) and Interpretive Structural Modelling (ISM) approach is employed to identify key enablers influencing smart city development.