中国的信息化始于20世纪80年代，经过了工业等部门信息化、领域信息化和数字城市建设，信息技术逐渐在国民经济各领域及城市各部门中较为广泛的应用。如今，新一代信息技术加速了信息化深入应用，建设智慧城市也成为中国在新型城镇化背景下的必然选择。2010年以来，以"集约、智能、绿色、低碳"为主导理念的智慧城市建设逐渐成为推动新型城镇化和实现城市可持续发展的重要手段。聚焦于新一代信息技术、物联网、云计算等技术在国家、区域与城市不同行业与领域的应用，国家出台了多项政策措施，通过试点与示范有效地推动了智慧城市建设，取得了预期成效。

Ecological civilization system reform deepening, the regulation system of natural resources improved, the full implementation of national spatial use control, an urgent need to cloud computing, Internet of things, such as large data wisdom homeland construction under the new generation of information technology to support the improvement of the concept of innovation and thinking. In this paper, based on China's unique social and economic background, based on the analysis of China's "homeland" wisdom construction course, basic characteristics and main content, on the basis of Jiangsu province as a typical case, this paper expounds the common features of territory in China's construction of wisdom and common practices, and from the "big data" integration, sustainable land use evaluation and dynamic management, land use spatial pattern of dynamic simulation and monitoring, land and space control partition simulation, based on the "big data" risk early warning and risk linkage management five aspects based on the wisdom of the big data applications of homeland framework is constructed.

With the depth development and extensive usage of new generation information technologies, internet of things and cloud computing, new smart cities become a new urban form in the information age, which also become an important topic of urban planning, construction, and management. After analyzing the policy environment of the new smart city, the authors elaborated the progress of infrastructure construction of new smart city from the internet communication technology, the remote sensing satellite and navigation technology, big data center, and spatiotemporal information cloud platform. Meanwhile, the achievements of new smart city were discussed with the main application field of the smart government, the"Multi-plan Integration"information platform, the smart urban management, and the smart environmental protection. Then, the authors analyzed the developing trend of new smart city in the era of the artificial intelligence (AI). Finally, the authors put forward the key issues of planning and development of new smart cities, including the top design, the network security, and developing timing.

This paper analyzes a recent American report "Technology and Future of Cities" and reflects on China's smart city development. The key areas covered in the report are transportation, energy, buildings and housing, water, urban farming, and urban manufacturing. The report emphasizes smart city development as an ongoing process. In China, smart city development has taken off very rapidly in many cities. However, there have been some cases of redundant and mismanaged projects. Sharing the experience in the report, we suggest the followings. China's smart city development in the future should pay more attention to the application of technologies in focused areas which have the highest potential to improve people's quality of life; a national platform should be developed to provide big data and accelerate the formulation of regulations on common data format, data sharing and privacy protection; smart city should be understood as a continual process of experiments of uncertainty so as to allow room for testing completely new ideas;. and smart city development should be fully supported, guided and coordinated by the central government.

The rapid development of information technology not only promotes the development of smart cities at the micro-level, but also becomes the core driving force for future coordinated and efficient cooperation in macro concepts. The construction of smart cities in China has already reflected the development trend i.e., from point to face and contiguous development, in which construction of smart regions is inevitable. On the basis of in-depth research and analysis of foreign smart regions, it is shown that emphasis on information and communication technology, innovation, efficient cooperation, and personnel training are all building experiences that may guide the construction of smart regions in China in the future. Finally, this paper puts forward some suggestions to the construction of domestic smart regions.

The construction of smart city has provided multi-source data support for systematic cognition of the city operation, and also brought new opportunities for the urban development model. This paper explains the construction foundation of the smart city simulation model from the aspects of urban elements organization mechanism and the urban system operation representation. Then, a concrete organization of the simulation model is elaborated in the following four parts:model concept connotation, component elements, framework structure and main functions. Finally, specific application scenarios of the simulation model are discussed including urban planning scheme evaluation, urban design perception interaction and urban operation management decision.

Smart cities in China have recently developed rapidly and the number of smart cities is increasing. The top layer design is a guarantee of healthy and efficient construction of the smart city. In order to strengthen the smart city top layer design in terms of management, rationality, and implementation, a management process is developed in this study for all level adminstrative smart city management departments. Moreover, research on visualization of the top layer design is also carried out. To change the traditional text form, an instant, interactive information presentation for smart city top level design is proposed which can help users understand and grasp the content of the design. On the basis of previous researches, a management and visualization system is finally developed to realize the whole management cycle of top level design including filling, reviewing, evaluating, querying and displaying. The system can greatly improve the management and visualization ability of the smart city top level design.

The construction contents of smart city, including cloud computing center, basic geographic information database, and "Internet+ "government services, all can provide vital technical support for the multi-planning integration task. From the perspective of technical support of smart city, this paper discusses the contradictions and inconsistencies existing in department plannings of different cities and counties in China, and explores the relationship between smart city and multi-planning integration. Then, a technical framework of the "multi-planning integration" is constructed from the data layer to the professional layer, and to the information platform layer. Finally, the paper analyzes several realizing methods for multi-planning integration, including the unification of data classification, contents, standards and quality, the difference comparison of multiple plannings, the delineation of controlling line, and the coordination of multi-planning management, as well as function construction of information platforms. This syudy is of great significance to guiding those cities and counties undertaking multi-planning integration tasks and to the reform and innovation of the spatial planning system.

With the prevalence of smart city, big data and sharing economy, bike-sharing as a mode of transport to lessen carbon dioxide, promote public health, and solve the problem of the first/last mile connection to other transition modes has been popular in China since 2008. This paper conducts a spatiotemporal analysis of bike-sharing in areas under different land uses, especially the commercial area, in Tianhe district, Guangzhou. The data used in this project consist of over 267 thousand sharing bikes recorded on two weekdays plus one weekend in October and November, 2017. Line tracking and density analysis tools are used in the geographic information system to simulate cycling tracks and carry out a spatial visualization analysis of different time and distance distributions of cycling flows during the day. Results show that, in the time aspect, travel of bike-sharing on weekdays happens mainly in the morning rush hours, while travel at the weekend could be more dispersed. In the space distribution aspect, sharing bikes on weekdays are centrally distributed along the Guangyuan expressway while at weekends, bicycles tend to spread out in the periphery, especially the Tianhe road and Zhujiang New Town trading area. The sharing-bikes in the commercial area are characterized by low turnover rate as well as low usage. The paper suggests that the future allocation of sharing bikes should meet the spatiotemporal characteristics of cycling. The present findings could be useful for bike-sharing enterprises and the authority who want to promote the use of sharing bikes, lower marginal operating costs and further encourage the practice of human-oriented planning that addresses citizens' everyday experience and quality of life.