2022 Vol.5

Technological Progress and Urban-Rural Development in the Era of Artificial Intelligence

The Issues of Technological Progress and Urban and Rural Development in the Age of Artificial Intelligence

Abstract: Technology is evolving at an accelerated pace, creating major issues and spatial changes in this era. This paper summarizes the academic thoughts of four important scholars in the field of technological progress and urban-rural development. The existing research enlightens us that technology does not develop according to a one-way fixed logic, but interacts and evolves with society. Based on the practical needs of China's entry into the new era of ecological civilization construction, the important issues responding to the era of artificial intelligence are proposed from four aspects: the law of urban and rural space development, the improvement of the quality of human settlements and space equity, the reshaping of culture and place spirit in new era, and the resilient development of urban and rural space under the role of the new scientific and technological revolution. The paper argues that we need to understand the logic of future urban and rural civilization, take people as the center, make urban and rural space adapt to the future existence and development mode as well as people's interests and needs, and actively find new ways to solve problems.

From Eco-friendly Planning and Development Experiments to a Smart City: Some Concerns from the Practice of Smart City Initiate in Milton Keynes, the UK

Abstract: Smart cities have become an attractive topic of exploration in both professional practices and academia in the world over the past decades. However, there is still no consensus or definition to explain smart cities. Through research and a summary of the literature, six dimensions of smart cities which embodied the three components of sustainable development are identified. The six dimensions of smart cities are adopted to analyse the delivery of a smart city initiated at Milton Keynes in the UK. According to the evaluation of low-carbon and environmentally-friendly planning and development of Milton Keynes and its recent exploration of smart cities, this paper indicates that smart cities are a tool to an end instead of an end product. The technologies and innovations used in smart cities should realise people's pursuit of a better life from different dimensions such as economy, environment and society to plan and build a liveable, workable and sustainable city.

Technological Development and Rural Transformation: Practices of Taobao Villages in South Jiangsu Province

Abstract: At present, ICT has been highly involved and become the infrastructure of the whole society. Emphasizing spatiality is an indispensable way to understand urban and rural development and reform in the era of technological "flood". This paper embeds the influence of information technology in the discussion of Lefebvre space ternary dialectic, and theoretically describes the geographical history of Taobao Villages that emerged in southern Jiangsu in recent years. It is believed that Taobao Villages in southern Jiangsu, with a remarkable rise in economic organization, are spaces for grassroots innovation with practical spirits, growing into an important basis for participating in the global competition of regional economies. Finally, the paper points out that maintaining the sustainable innovation environment of Taobao Villages requires the concerted efforts of multiple actors, as well as the tasks that planners need to actively think about and respond to in this process.

Validation of the Basic Supporting Role of High-speed Traffic Network in Regional Factor Flow: A Case Study of Zhejiang Province

Abstract: Castells proposed that "flow space" has multiple layers, and transportation infrastructure is the carrier of flow space formation. However, few studies have focused on whether the infrastructure behind factor flow can provide sufficient support. In this paper, the basic supporting role of high-speed traffic networks in regional factor flow is examined by constructing fitting models of the high-speed traffic network and enterprise association network, and high-speed traffic network and inter-city trip network from two aspects of centrality and connection degree. The conclusions are as follows. Firstly, the immaterial capital flows are still affected by the connectivity of transport facilities, but less than the human flows. With the improvement of transport conditions, the capital links between cities can be enhanced correspondingly, and the ability of cities to gather capital will be significantly enhanced. Secondly, the attraction and radiation power of high-grade cities in terms of both people and capital flows are far beyond the high-speed traffic condition, and drive the neighboring cities such as Jiaxing, Shaoxing, and Huzhou to form a scale of capital and human flow connection that exceeds the average traffic conditions of the whole province. We hope this paper will help analyze the relationship between factor flow and infrastructure, identifying mismatched networks and optimizing regional infrastructure construction.

Application Scenarios for the Regeneration of Old Residential Districts Based on the CIM Foundation Platform

Abstract: The regeneration of old urban residential districts is a systematic, complex, and multi-party collaborative construction project. In the regeneration of old residential districts, the technical concept of the CIM platform is used to create application scenarios, which will effectively improve the construction level and operational efficiency of old residential districts' regeneration and lay the foundation for new urbanization. At present, there are no clear research results and applications for the CIM platform in the transformation of old residential districts at home and abroad. This paper introduces the concept, application architecture, and grading standards of the CIM foundation platform as a whole. It also explores the application scenarios of CIM-based old residential districts regeneration in management, smart property, and elderly care platform, and creates a new governance mechanism for old residential districts, to provide an important reference for the refinement, intelligence and modern governance of old residential districts regeneration in China.

Machine Learning Diagnosis of Residential Land Price and Its Planning Enlightenment

Abstract: The residential land price reflects the urban utility to a certain extent, and can be called the shadow land price when it is fully mapped. In reality, the actual land price is the result of the game of bounded rationality under incomplete information. One of the pieces of evidence is that the transfer method will affect the price. Compared with the zero premium listing, the auction method usually has a higher premium. If the residential land price has a reasonable and stable valuation, the deviation of the actual land price from the shadow land price will bring about problems in the man-land relationship, public finance, and urban form, which requires public intervention. In order to accurately judge the necessity of planning enhancement, it is necessary to extract and collect the multidimensional characteristic variables that affect the housing land price, and use the artificial intelligence method of cross-use regression and classification for diagnosis. Based on the public data on residential land transfer in the main city of Chongqing since 2020, the research adopts the LGBM model to explore the diagnostic method. From three aspects of the land transfer mechanism, urban heterogeneous development and urban utility convergence, this paper puts forward positive actions of planning enhancement strategy.

Analysis of Influencing Factors of Medical Facility Accessibility Based on Decision Tree Model: A Case Study of Suzhou City

Abstract: Accurately measuring the spatial configuration of urban medical facilities and rationally planning medical public space are important guarantees for the realization of stable and healthy urban development. Taking Suzhou City as an example, the study uses the two-step mobile search method to measure the spatial accessibility of medical facilities with streets as the smallest unit, and discusses the main factors affecting the spatial pattern of medical facilities accessibility in Suzhou City based on a decision tree model. The research shows that the accessibility of medical facilities in Suzhou gradually decreases from the central urban area to the suburbs. The population density has a significant impact on the accessibility of medical facilities, and the density of residential areas and plot ratio have a significant impact on the accessibility of medical facilities. The network density and the degree of aging have a weak effect on the accessibility of medical facilities. Based on this, the study puts forward policy recommendations to improve the distribution balance and fairness of medical facilities in Suzhou, and provides references for the construction of medical facilities in other cities.