Research on the Development Strategy of Smart Tourism in Hainan Under the Background of Big Data

Hainan is a major tourist province.It is urgent to promote the transformation and upgrading of Hainan’s tourism industry from a traditional service industry to a modern service industry by means of informatization.Smart tourism is a brand-new tourism form and operation mode of tourism transformation and upgrading.Integrating big data technology will make smart tourism more accurate in three aspects:tourism management,tourism service,and tourism marketing,and further enhance the satisfaction of the tourism experience.This paper studies the development status of smart tourism in Hainan,deeply summarizes its existing problems and causes,and puts forward the development strategy of smart tourism in Hainan to promote the healthy development of the tourism industry in Hainan.

Study on the Urban Tourism Development in Qin-Ba Area Based on SWOT Analysis——A case study of Dazhou City

The urban tourism of Dazhou City was analyzed by SWOT analysis method,and corresponding exploration strategies were put forward.

System Design for Urban Forest Park——Based on Elimination of Externality during Development and Tourism Process

The paper had introduced researches on urban forest park and analyzed its particularity.In terms of elimination of externality during development and tourism consumption process of urban forest park,real estate agent had been introduced and two assumptions had been proposed to eliminate externality.As for elimination of externality during development of urban forest park,right to use planning land for urban forest park and surrounding land for real estate development would be sold to estate agent who would develop urban forest park and commodity house;the management of forest urban park would be undertaken by tourism development companies for which estate agent would make compensation.As for elimination of externality during tourism consumption process,it would control with policies and laws,or establish ticket system.As the study hadn't been conducted on policies about urban land and real estate,the feasibility of the first assumption needed to be further studied by environmental economists.

Spatial and Temporal Pattern of Urban Smart Development in China and Its Driving Mechanism

Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention.

Beyond skyline and borders: Unraveling the evolution and drivers of tourism green development efficiency in the Beijing-Tianjin-Hebei urban agglomeration, China

Green development is a critical component of sustainable tourism, which prioritizes a comprehensive, ecologically-friendly, and people-oriented approach to development. This study presents a case study of the Beijing–Tianjin–Hebei(BTH) urban agglomeration from 2001 to 2021 to analyze the spatio-temporal evolution characteristics and influencing factors of tourism green development efficiency(TGDE). The study defines the concept of tourism green development and constructs an evaluation system, which is used to explore the internal differences and spatial patterns of TGDE within the urban agglomeration. The methodological approach includes the SBM–Undesirable model, kernel density estimation, Markov chain, and spatial gravity model. The findings indicate that the TGDE in the BTH urban agglomeration is generally favorable, displaying a temporal phase of “rising–declining–rising.” However, the study observes lower TGDE in tourism node cities compared to tourism regional center cities and tourism core hub cities. The non-equilibrium degree of each region indicates significant spatio-temporal evolution patterns and internal differences among the three regions, with a spatially decreasing distribution of “core hub-regional center-node city.” The TGDE in the urban agglomeration experienced an evolutionary trend of “first decreasing and then increasing” with apparent endogenous evolution characteristics. The linkage pattern of green development efficiency in the tourism industry between cities is relatively stable. Furthermore,neighboring cities generally exhibit a higher spatial connectivity strength of green development efficiency in the tourism industry compared to non-neighboring cities. Economic development level, industrial structure, and science and education level are identified as key factors that affect TGDE. However, the study finds that the factors influencing TGDE in tourism core hub cities, tourism regional center cities, and tourism node cities differ somewhat. Economic development level, industrial structure, science and education level, openness, and government regulation impact TGDE in tourism core hub cities and tourism regional center cities, while economic development level, industrial structure, and tourism resource endowment are the primary factors affecting TGDE in tourism node cities. The study provides policymakers and tourism practitioners with valuable insights into enhancing the green development of the tourism industry in the BTH urban agglomeration and other similar regions.Corresponding policy recommendations based on the results are proposed to improve the TGDE of the tourism industry in these regions, promote sustainable tourism development,improve the quality of life of local residents, and protect the ecological environment.

Research on the Countermeasures of Smart Tourism Construction in Sanya Under the Background of Free Trade Port Construction

By analyzing the current situation of smart tourism construction in combination with the actual tourism situation in Sanya,this study aims to find out the problems existing in the current smart tourism construction and understand the various factors affecting the smart tourism construction in Sanya.Then,relevant theories and practical applications were used to study the ways to carry out smart tourism construction with the help of policy,location,and other advantages to meet the needs of the development of the times.Based on the study,practical countermeasures and suggestions were given to provide reference for the construction of smart tourism,ensure the continuous improvement of smart tourism construction,and help the upgrading and transformation of tourism in Sanya.Based on the analysis of the construction and data of smart tourism and tourism informatization in Sanya,this article has formed a useful method to help Sanya build an international tourist island and a modern smart tourism city using the Hainan Free Trade Port construction policy.

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization:A Case Study of Changsha-Zhuzhou-Xiangtan City Group,China

Urban agglomeration is the main spatial organization mode used by the Chinese government to promote the policy of new urbanization strategy.Hence,a better understanding of the urban growth boundary(UGB)has profound theoretical and practical significance regarding sustainable urban development.This study devised a raster-based land use spatial optimization(LUSO)framework,and utilized ant colony optimization(ACO)algorithm to delimit the smart growth boundaries of the Changsha-Zhuzhou-Xiangtan city group(CZTCG)in China.The aim of this study is to design a LUSO model to explore an optimal pattern of urban agglomeration for sustainable growth.Multi growth scenario including a single development center,multipolar development and balanced development patterns are generated by the LUSO model for the year of 2050,and the optimum spatial pattern is chosen based on objectives comparison and the present stage of economic and social development in CZTCG.The main results are listed as the following.1)It is feasible to identify the growth boundaries of the urban agglomeration using the land use spatial optimization model,and the optimal form of the spatial pattern can be defined.2)With the growth trend of the urban agglomeration gradually spreads from a single center to multi-centers and even small towns,the total optimization target performance gradually increases,which means that the traditional pie-shaped development does not meet the maximum comprehensive benefit of the city group.3)Subject to the regional social and economic development stage,absolute fair development or simply developing the central city is not conducive to promoting the coordinated development of the urban agglomeration.Gradient equalization and gradual advancement are the best choice for UGB delineation of urban agglomeration.The findings of this study would be useful to identify the UGB in CZTCG for more sustainable urban development in the future.

A Sightseeing Spot Recommendation System for Urban Smart Tourism Based on Users’ Priority Conditions

The present study aimed to design,develop,operate and evaluate a sightseeing spot recommendation system as a smart tourism tool that gathers and accumulates sightseeing spot information and considers personal preferences as well as priority conditions to support tourism activities,especially in urban tourist areas.The system was developed by integrating web-geographic information systems(Web-GIS),the recommendation system and the evaluation system.Additionally,the system was operated for 4 weeks in the central part of Yokohama City in Kanagawa Prefecture,Japan,and the total number of users was 62.Based on the results of the web questionnaire survey,the system was highly useful for sightseeing activities,and further utilization of each function can be expected by continuing the operation.From the results of access analysis of users’log data,it is evident that the system has been used by different types of information terminals just as it was designed for,and that the system has been used according to the purpose of the present study,which is to support the sightseeing activities of users.However,the number of visits to pages related to the evaluation function of sightseeing spots and submitting function of new sightseeing spot information was low.This may improve if the system operation is conducted on a long-term basis.

TOPSIS-based Measurement and Analysis on Dynamics of Smart Lowcarbon Development for Major Chinese Cities

The smart low-carbon development of modern cities has become one of the academic hotspots.However,the dynamics is rarely involved.Therefore,TOPSIS method was used to take a quantitative study on the dynamics of smart low-carbon development for major Chinese cities.The results showed that:(1) 3 main dynamics of smart lowcarbon city development in China are institution and culture conditions,facility and function conditions and economy and industry conditions,but the overall utility is relatively low;(2) the level of dynamic operation mechanism of smart low-carbon development for major Chinese cities is distinct between regions,indicating a spatial law of diminishing from the east to the west and differing within regions;(3) the imbalance of comprehensive dynamic mechanism and operation state between major cities is prominent,showing an urban scale law of decreasing from big to small and differing within each scale and an administration hierarchy law of descending from high to low and differing within each class;(4) 7 basic development patterns can be obtained,and most of the cities take the external strong internal weak mode,which basically matches with its development realities.

Smart City Development in China: One City One Policy

China is in a process of urbanization and is aiming at a type of people-centered urbanization. The main purpose of developing a ＂smart city＂ is to help this type urbanization and to serve the people of the city. From 2012 to 2015, China has chosen more than 300 cities or towns to be national pilot ＂smart cities.＂ These pilot smart cities are located in more than 30 provinces around China, which differ greatly in thousands ways. So we advocated ＂One City One Policy＂. In 2012, MOHURD announced 90 cities as first batch of pilot smart cities. After three years, some pilot cities achieved great progress. This paper introduces five example cities （including town, district） as five different models of China＇ s smart city development. They are- Guilin city; Yunlong demonstration zone; Panyu District; Yangling Agricultural Hi-tech Industries Demonstration Zone; Lecong town. This paper also introduces our standardization work on smart city field at present.

Japanese Ways of Developing Urban Underground Recreation Space

This paper defines the concept of urban recreation space at first, and then?focuses on the six aspects of experience in?functional orientation, joint development, business planning, environment designing,?recreational route designing, operation and management based on reviewing the development process of the underground street in urban recreation space in Japan.?The results show that the overall planning and detailed design of urban recreational space in Japan is worth learning and drawing lessons for all countries in the world.

Smart cities from low cost to expensive solutions under an optimal analysis

This scientific approach mainly aims to develop a smart city/smart community concept to objectively evaluate the progress of these organizational forms in relation to other classical/traditional forms of city organizations.The elaborated model allowed the construction of the dashboard of access actions in the smart city/smart community category on two levels of financial effort correlated with the effect on the sustainable development of smart cities.The validity of the proposed model and our approach was supported by the complex statistical analysis performed in this study.The research concluded that low-cost solutions are the most effective in supporting smart urban development.They should be followed by the other category of solutions,which implies more significant financial and managerial efforts as well as a higher rate of welfare growth for urban citizens.The main outcomes of this research include modelling solutions related to smart city development at a low-cost level and identifying the sensitivity elements that maximize the growth function.The implications of this research are to provide viable alternatives based on smart city development opportunities with medium and long-term effects on urban communities,economic sustainability,and translation into urban development rates.This study’s results are useful for all administrations ready for change that want the rapid implementation of the measures with beneficial effects on the community or which,through a strategic vision,aim to connect to the European objectives of sustainable growth and social welfare for citizens.Practically,this study is a tool for defining and implementing smart public policies at the urban level.

基于“绿色+智慧”协同的城市轨道交通发展思路研究

随着我国城市轨道交通发展逐步进入存量阶段,前期大规模、高增速的发展模式已不适应高质量发展的要求,为贯彻“双碳目标”“智慧化发展”战略部署,以《中国城市轨道交通绿色城轨发展行动方案》《中国城市轨道交通智慧城轨发展纲要》为指导,基于我国42个城市的社会经济、人口、财政收入、运营规模、客流强度、线网规模等指标,计算各指标的相关性,对比不同城市各指标发展的差异。结合现状发展及城市轨道交通高质量发展的迫切需求,构建基于“绿色+智慧”协同发展的城市轨道交通体系框架,从城市发展、综合交通、建设运营、智慧轨道、“绿色+智慧”协同等方面,提出未来城市轨道交通高质量发展的主要方向。

智慧城市试点建设的就业效应研究

智慧城市建设作为城市化发展模式的重大变革,其对就业水平的提升作用亟需来自宏观城市层面的经验证据。基于我国284个地级及以上城市面板数据,对智慧城市试点政策开展准自然实验,利用多期DID方法检验智慧城市建设对城市就业的影响及内在机制。研究发现智慧城市建设显著提升了城市就业水平,且通过一系列稳健性检验后结论仍然成立。机制分析表明,智慧城市建设运用现代信息技术推动城市发展模式创新,通过创新驱动产生消费与外资的拉动效应,进而提升城市就业水平。进一步分析发现,智慧城市建设对就业的促增效应在中部地区城市和人口密度较低、经济活动水平较高的普通城市中表现显著。研究结果为智慧城市建设在城市层面上的就业效应研究提供了经验证据。

浅析智慧旅游背景下的乡村康养旅游开发对策

随着互联网技术的不断进步,智慧旅游发展很快,智慧康养旅游理念逐渐兴起。在乡村康养旅游开发过程中,为满足人们个性化及多样化的旅游需求,可依托当地现有的康养资源,以智慧康养旅游为切入点,聚焦于特色康养资源开发,从智慧农业、信息服务及智慧医疗等方面入手,采取具有一定可行性的对策,从而树立智慧康养旅游理念,开发智慧康养旅游项目,突出智慧康养旅游品牌,完善智慧康养服务体系,建设智慧乡村。

基于物联网大数据的智慧城市可持续建设研究

文中针对智慧城市建设可持续发展与规划的重要意义和重大影响,利用物联网和大数据分析技术,提出了一种以物联网和大数据分析为基础的智慧城市可持续发展规划与建设框架。首先,设计了一种基于物联网的异构聚合智慧城市架构;然后,对框架进行了大数据分析与探讨;最后,利用HadoopEco系统,对数据吞吐率曲线与数据量大小进行了评估,验证了所提框架的实用性和先进性。

双碳目标下河北省新型智慧城市建设研究

面对当今碳达峰与碳中和“双碳”工作新要求,作为京津冀生态协同圈的腹地,河北省尤为注重新型智慧城市建设。鉴于此,文章分析了在双碳目标下河北省新型智慧城市建设在城市治理、城市化过程和信息科技发展的条件下,向新型智慧城市过渡的必要性,并对智慧城市建设的政策体系、技术成果和应用领域的发展现状进行了分析研究。

智慧国土赋能城市高质量发展的路径研究--以重庆为例

随着新一代信息技术的深度应用及数字中国建设的推进,智慧国土逐渐成为赋能我国自然资源管理、国土空间规划与治理,以及城市社会经济发展的新手段。但从实施层面来看,智慧国土如何赋能城市高质量发展,还需进一步探索其具体的实践路径。本文在厘清城市高质量发展和智慧国土建设之间内在关系的基础上,提出了智慧国土赋能城市高质量发展的总体设计思路,具体将通过数据赋能、技术赋能及场景赋能三种模式,推动实现对城市的高质量全程智治。在此基础上,以重庆市为例,结合其发展现状和实际需求,从自然资源管理与社会经济发展两个方面,探索智慧国土赋能城市高质量发展的实践路径,以期为我国城市数字化治理和高质量发展提供理论参考与实践指导。

数字经济促进城市绿色发展的碳排放效应与影响因素研究

本文基于2010~2021年我国284个地级市面板数据,采用超效率SBM模型等方法,研究数字经济对城市绿色发展的碳排放效率及其影响机制。研究结果显示,数字经济发展有助于提升城市的碳排放效率。其中,财政支出绩效和环境规制强度起到中介作用;数字经济在经济发展速度和人力资本水平的调节下,更显著地促进城市的碳排放效率;同时,数字经济对城市碳排放效率的影响存在明显的异质性。因此,本文提出了加强数字经济发展与碳排放效率协同增长、优化政府财政支出、加快数字城市建设等建议。

文旅商联动视角下城市夜间经济高质量发展策略——以盐城市为例

文旅商联动是以文塑旅、以旅兴商、以商彰文的过程,而基于文旅商联动促进城市夜间经济高质量发展,可进一步增强城市文旅发展动能、拓展文旅消费空间、推进文旅品牌升级。以盐城市为例,针对其夜间经济发展存在的问题,从文化、旅游、商业与城市深度融合的视角,探索文旅商联动背景下城市夜间经济高质量发展的模式,并提出以文化为主线的重规划、延业态、铸品牌、强营销、优营商等策略。