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This report assesses the effectiveness of China's industrial policies, using China's commercial aviation manufacturing industry as a case study. It evaluates China's efforts to create a national champion in this industry, and analyzes foreign manufacturers' efforts to protect key technologies when setting up production facilities there. It also offers policy options for foreign governments responding to Chinese policies.

China -- Economic policy -- 1976-. --- Fiscal policy -- China. --- Industrial policy -- China. --- Industrial policy. --- Business & Economics --- Transportation Economics --- Aeronautics, Commercial --- Aircraft industry --- Government policy. --- Government policy --- Airplane industry --- Aviation industry --- Air service --- Air transport --- Air transportation industry --- Air transportation system --- Civil aeronautics --- Civil aviation --- Commercial aeronautics --- Commercial aviation --- Aerospace industries --- Airplanes --- Aeronautics --- E-books

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An assessment of China's aerospace manufacturing capabilities and how China's participation in commercial markets and supply chains contributes to their improvement. It examines China's aviation and space manufacturing capabilities, government efforts to encourage foreign participation, transfers of foreign technology to China, the extent to which U.S. and foreign aerospace firms depend on supplies from China, and their implications for U.S. security interests.

Aeronautics, Commercial -- China. --- Aeronautics, Commercial -- Government policy -- China. --- Aerospace industries -- China. --- Aerospace industries -- Government policy -- China. --- Artificial satellites -- China. --- Aerospace industries --- Aeronautics, Commercial --- Artificial satellites --- Business & Economics --- Industries --- Government policy --- China --- United States --- Foreign economic relations --- Earth satellites --- Orbiting vehicles --- Satellite vehicles --- Satellites, Artificial --- Air service --- Air transport --- Air transportation industry --- Air transportation system --- Civil aeronautics --- Civil aviation --- Commercial aeronautics --- Commercial aviation --- Space vehicles --- Anti-satellite weapons --- Aeronautics --- E-books

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In a rapidly changing world, it is necessary to increase the engagement of local authorities and stakeholders to make urban mobility cleaner and more sustainable. The best way is to combine great ideas and innovative measures with political support. This Special Issue consists of six articles analyzing the impact of SUMPs. Innovative measures have been proposed to change urban transport systems towards sustainability: Chinese research has analyzed the tourist flow of Tibet using innovative technologies: mobile phone data, visualizations using GIS, and social networks. Lithuanian authors proposed three autonomous car travel development concepts that should become a conceptual tool in the development of ITS and C-ITS. An English scientific paper is based on a review of local transport policy documents from 13 cities in four countries. Most cities seek to reduce car travel as a proportion of trips. Experience from Slovenia shows that the comprehensive traffic calming approach has positive effects and contributes to achieving sustainable mobility. Korean researchers used the GINI coefficient to evaluate the bus system to identify bus nodes in order of importance. The last article described that multicriteria decision-making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and a universal evaluation model was proposed.

sustainable urban mobility --- SUMP --- mobility measures --- multicriteria decision making methods --- MCDM --- bus transportation system --- urban infrastructure --- network growth --- Gini coefficient --- complex systems --- comprehensive traffic calming --- active mobility --- travel behaviour --- quality of life --- traffic safety --- sustainable urban mobility planning --- sustainable urban mobility plan --- policy --- problematisation --- local transport --- mobility plan --- Sweden --- Great Britain --- Netherlands --- Germany --- development --- autonomous cars --- ITS and C-ITS --- public infrastructure --- Kendall method --- pattern --- social network analysis --- tourist flow --- visualization --- Tibet

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This book introduces the Special Issue entitled “Applications of Internet of Things”, of ISPRS International Journal of Geo-Information. Topics covered in this issue include three main parts: (I) intelligent transportation systems (ITSs), (II) location-based services (LBSs), and (III) sensing techniques and applications. Three papers on ITSs are as follows: (1) “Vehicle positioning and speed estimation based on cellular network signals for urban roads,” by Lai and Kuo; (2) “A method for traffic congestion clustering judgment based on grey relational analysis,” by Zhang et al.; and (3) “Smartphone-based pedestrian’s avoidance behavior recognition towards opportunistic road anomaly detection,” by Ishikawa and Fujinami. Three papers on LBSs are as follows: (1) “A high-efficiency method of mobile positioning based on commercial vehicle operation data,” by Chen et al.; (2) “Efficient location privacy-preserving k-anonymity method based on the credible chain,” by Wang et al.; and (3) “Proximity-based asynchronous messaging platform for location-based Internet of things service,” by Gon Jo et al. Two papers on sensing techniques and applications are as follows: (1) “Detection of electronic anklet wearers’ groupings throughout telematics monitoring,” by Machado et al.; and (2) “Camera coverage estimation based on multistage grid subdivision,” by Wang et al.

urban traffic --- grey relational membership degree --- traffic congestion judgment --- mobile positioning --- commercial vehicle operation data --- cellular network --- cloud computing --- location-based service --- Internet of Things --- distributed system architecture --- intelligent transportation system --- cellular networks --- vehicle positioning --- speed estimation --- machine learning --- road anomaly --- avoidance --- behavior recognition --- smartphone --- opportunistic sensing --- anklet monitoring and tracking --- detection algorithms --- geoprocessing --- Law Enforcement Telecommunications Systems (LETS) --- sensor data fusion --- camera coverage estimation --- multistage grid subdivision --- line of sight --- viewshed analysis --- obstacle --- k-anonymity --- location-based services --- location privacy --- the credible chain

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Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.

spatio-temporal --- residual networks --- bus traffic flow prediction --- advance rate --- shield performance --- principal component analysis --- ANFIS-GA --- tunnel --- online learning --- extreme learning machine --- cyclic dynamics --- transfer learning --- knowledge preservation --- Feature Adaptive --- optimization --- Bacterial Foraging algorithm --- Swarm Intelligence algorithm --- Isolated Microgrid --- traffic surveillance video --- state analysis --- Grassmann manifold --- neural network --- machine-learning --- quality of life --- Better Life Index --- bagging --- ensemble learning --- pedestrian attributes --- surveillance image --- semantic attributes recognition --- multi-label learning --- large-scale database --- traffic congestion detection --- minimizing traffic congestion --- traffic prediction --- deep learning --- urban mobility --- ITS --- Vehicle-to-Infrastructure --- neural networks --- LSTM --- embeddings --- trajectories --- motion behavior --- smart tourism --- driver’s behavior detection --- texting and driving --- convolutional neural network --- smart car --- smart cities --- smart infotainment --- driver distraction --- cameras --- convolution --- detection --- image recognition --- DSS --- diabetes prediction --- homecare assistance information system --- muti-attribute analysis --- artificial training dataset --- machine learning --- big data --- data analysis --- sensors --- Internet of Things --- vehicular networks --- VDTN --- routing --- message scheduling --- traffic flow prediction --- wavenet --- TrafficWave --- RNN --- GRU --- SAEs --- risk assessment --- neural architecture search --- recurrent neural network --- automated driving vehicle --- decision support system --- artificial intelligence --- disaster management --- Smart city --- program management --- integrated model --- smart city --- intelligence transportation system --- computer vision --- potential pedestrian safety --- data mining --- healthcare --- Apache Spark --- disease detection --- symptoms detection --- Arabic language --- Saudi dialect --- Twitter --- high performance computing (HPC) --- spatial-temporal dependencies --- traffic periodicity --- graph convolutional network --- traffic speed prediction --- vehicular traffic --- surveillance video --- big data analysis --- autonomous driving --- life quality --- pattern recognition