Transitional Road of Resources-exhausted Cities to Low-carbon Economy:Tourism Resources Development——A Case Study of Gejiu City

Tourism is of vital practical significance to low-carbon economic transition of resources-exhausted cities.By taking Gejiu City of Yunnan Province for example,the paper discussed that Gejiu City as the resources-exhausted city should positively develop tourism,particularly industrial heritage tourism,treating tourism development as the breakthrough and motive power of low-carbon economic transition of resources-exhausted cities,so as to walk out a unique road of tourism promoting low-carbon economic development.

Spatiotemporal Differences and Classification Regulation of Urbanization Impact on Agricultural Development in Shrinking Areas:A Case Study of 15 Shrinking Cities in Three Provinces of Northeast China

Studying the impact of urbanization on agricultural development in shrinking areas is important for maintaining food security and promoted agricultural development in China.Based on the measurement results of the shrinking cities in the three provinces of Northeast China,this paper selects 15 shrinking cities as the research object,and constructs a multi-dimensional index system to explore the impact of the urbanization level of the shrinking areas on the agricultural development in the region since 2007–2019,analyzes the influencing factors and their differences by using the geographically-weighted regression model and Geodetector,and proposes a targeted regulation strategy.The results show that:1)overall,there is a negative correlation between the urbanization level and the agricultural development level in the contracted areas of the three northeastern provinces.The urbanization level in these areas has a certain negative impact on the overall level of agricultural development;2)regarding the time dimension,the impact of urbanization level on the agricultural development level in the contracted areas of the three northeastern provinces gradually increases over time;3)regarding the spatial pattern,the overall impact of shrinking urbanization levels in the three provinces of Northeast China on the agricultural development shows a significant distribution pattern of high in the east and low in the west;4)the total population and natural population growth rate at the end of the year were the main factors influencing a certain level of urbanization on agricultural development in the shrinking cities while population density and the urban fixed asset investment rate were the secondary factors;and 5)the main reasons why the level of agricultural development in different cities was affected by the level of urbanization were different.However,they can be categorized into areas of population loss and spatial construction,which can be further divided into area of population loss in the northeast,areas of negative population growth in the west,and areas of urban spatial change in the south.According to the causes of the impact,this paper adopted targeted regulation strategies and formulated relevant policies and solutions that cater to local conditions.

Deep Reinforcement Learning Enabled Smart City Recycling Waste Object Classification

The Smart City concept revolves around gathering real time data from citizen,personal vehicle,public transports,building,and other urban infrastructures like power grid and waste disposal system.The understandings obtained from the data can assist municipal authorities handle assets and services effectually.At the same time,the massive increase in environmental pollution and degradation leads to ecological imbalance is a hot research topic.Besides,the progressive development of smart cities over the globe requires the design of intelligent waste management systems to properly categorize the waste depending upon the nature of biodegradability.Few of the commonly available wastes are paper,paper boxes,food,glass,etc.In order to classify the waste objects,computer vision based solutions are cost effective to separate out the waste from the huge dump of garbage and trash.Due to the recent developments of deep learning(DL)and deep reinforcement learning(DRL),waste object classification becomes possible by the identification and detection of wastes.In this aspect,this paper designs an intelligence DRL based recycling waste object detection and classification(IDRL-RWODC)model for smart cities.The goal of the IDRLRWODC technique is to detect and classify waste objects using the DL and DRL techniques.The IDRL-RWODC technique encompasses a twostage process namely Mask Regional Convolutional Neural Network(Mask RCNN)based object detection and DRL based object classification.In addition,DenseNet model is applied as a baseline model for the Mask RCNN model,and a deep Q-learning network(DQLN)is employed as a classifier.Moreover,a dragonfly algorithm(DFA)based hyperparameter optimizer is derived for improving the efficiency of the DenseNet model.In order to ensure the enhanced waste classification performance of the IDRL-RWODC technique,a series of simulations take place on benchmark dataset and the experimental results pointed out the better performance over the recent techniques with maximal accuracy of 0.993.

Computational Intelligence Driven Secure Unmanned Aerial Vehicle Image Classification in Smart City Environment

Computational intelligence(CI)is a group of nature-simulated computationalmodels and processes for addressing difficult real-life problems.The CI is useful in the UAV domain as it produces efficient,precise,and rapid solutions.Besides,unmanned aerial vehicles(UAV)developed a hot research topic in the smart city environment.Despite the benefits of UAVs,security remains a major challenging issue.In addition,deep learning(DL)enabled image classification is useful for several applications such as land cover classification,smart buildings,etc.This paper proposes novel meta-heuristics with a deep learning-driven secure UAV image classification(MDLS-UAVIC)model in a smart city environment.Themajor purpose of the MDLS-UAVIC algorithm is to securely encrypt the images and classify them into distinct class labels.The proposedMDLS-UAVIC model follows a two-stage process:encryption and image classification.The encryption technique for image encryption effectively encrypts the UAV images.Next,the image classification process involves anXception-based deep convolutional neural network for the feature extraction process.Finally,shuffled shepherd optimization(SSO)with a recurrent neural network(RNN)model is applied for UAV image classification,showing the novelty of the work.The experimental validation of the MDLS-UAVIC approach is tested utilizing a benchmark dataset,and the outcomes are examined in various measures.It achieved a high accuracy of 98%.

Classification of Urban Parks and their Regional Characteristics in Dhaka City, Bangladesh

Unplanned urbanization has caused serious ecological imbalances in Dhaka city. This study investigates the efficiency and utilization of urban green space especially parks of Dhaka city. The case study site covers urban parks of Dhaka metropolitan area of Bangladesh. Two aspects （physical and social） were applied for this study. For physical aspect, methods were used RS （Remote Sensing） and GIS （Geographic Information System） of three periods of images （Dhaka city）. And for social aspect, methods were used questionnaire survey, observation, photographs, sketch and previous information about parks. After calculating all data result was showed by maps using GIS. For the changing pattern of green space of periods 1972, 1989 and 2010, result showed that the variation of the green space changes rate was high and gradually green space deceased and build up area increased in Dhaka city. Again according to physical size, parks of Dhaka city were classified into four types： Small, Medium, Large and Extra Large parks. Small parks of Dhaka city were situated beside the residential area and were used as daily purpose. Medium parks were located beside commercial area and its use was for daily and weekly. Large parks were placed at city center and only one extra large park was found outer range of city area. In large parks, people mainly visited monthly or occasionally. Moreover, the spatial-temporal changes of images showed the present status of green space of the city. The consequence of the study reveals that the utilization of park was controlled by various factors in Dhaka city.

Analysis on the Application of Quality Classification of Cultivated Land Resources in Municipal Land Space Planning:A Case Study of Chongzuo City

Cultivated land is the most important strategic resource to ensure food security.The newly constructed quality classification system of cultivated land resources considers the cultivated land health index for the first time.How the new classification and grading index system and the quality classification results of cultivated land resources to effectively guide the preparation of municipal land space planning has become a key research direction.This paper expounds the overall design idea for quality classification of cultivated land resources and classification index system.Taking Chongzuo City as an example,through the analysis of the quality classification results of cultivated land resources in the study area,using GIS spatial analysis and factor pairwise comparison method,this paper explores the application ideas and methods of quality classification research results of cultivated land resources in the formulation of cultivated land retention target,the delineation of dominant areas of cultivated land protection,the delineation of three control lines,the comprehensive improvement of land,and ecological restoration zoning in the municipal land space planning.

Development path of Chinese low-carbon cities based on index evaluation

This work takes the 36 cities from China＇s low-carbon pilot project as the research object and uses the carbon emission per capita and GDP per capita to categorize the 36 cities into four types to reveal their low-carbon development status; these four types are leading cities, developing cities, latecomer cities, and exploring cities. On the basis of an index system that quantitatively describes low-carbon development, this research analyzes the characteristics, development trends, and low-carbon development pathways of the four types of cities. According to the present situation and objectives of national emissions and considering the differences in development stages, challenges, and opportunities for each type of the city, this research presents recommendations for the low-carbon roadmap and the medium- and long-term （by 2030） emission trend routes of different types of regions in China.

Exploring the effect of a low-carbon city pilot policies on carbon dioxide emission intensity:Based on the PSM-DID method

In 2010,the National Development and Reform Commission launched the low-carbon city(LCC)pilot pro‐gram.The scope of the pilot program was then gradually expanded to address the dilemma concerning eco‐nomic development and low-carbon transition.Selecting the second batch of LCCs in China,this study uses a combination of propensity score matching and difference-in-differences models to determine the effect of LCC pilot policies on CO_(2) emission intensity.We also used the mediation effect model to further investigate its in‐ternal mechanism.The findings of the study are as follows.First,the LCC pilot policy plays an important role in reducing carbon emissions.Second,LCC pilots policies reduce CO_(2) emissions through intermediary paths of output adjustment and technological innovation.Third,our heterogeneity analysis reveals that cities with higher levels of economic growth and better levels of human capital have superior carbon emission reduction effects;lastly,non-resource-based cities have better carbon emission reduction effects.

Review of Research on the Evaluation Index System of Low-carbon City in China

In order to promote the research on the evaluation index system of low-carbon city,this paper reviewed and summarized the current evaluation index systems in recent years and the concepts of lowcarbon city in China.The current evaluation index systems of low-carbon city in China could be divided into two types:two class index system and three class index system.The establishment of different index systems basically adheres to the scientific,systematic,operable and dynamic principles,and the target value and weight of evaluation index could be confirmed in multiple ways.This paper analyzed the existing problems in the evaluation index systems of low-carbon city,and came up with some suggestions and advice to promote relevant research.

Low-carbon city communication:Integrated strategies for urban and rural municipalities in Thailand

As an important sustainable development goal,the creation of low-carbon cities(LCCs)has become crucial to creating livable cities and environmental sustainability.Thus,we aimed to understand the factors that support the transition of traditional cities to LCCs,by analyzing and synthesizing how to promote practical LCC across 15 pilot municipalities in four regions of Thailand,covering four strategies:City of Trees,City of Waste Minimization,City of Energy Efficiency,and City of Sustainable Consumption.Literature research,in-depth interviews,and observations were employed for data collection,while the 5​W(who,says what,in which channel,to whom,and with what effect)and SMCR(sender,message,channel,and receiver)models were used to create a communication analysis framework.Results revealed that the effective activities of municipalities should increase tree planting and implement more serious regulations for the conservation of existing trees.Making compost and establishing waste recycling banks are recommended for rural municipalities,while optimization of garbage and wastewater management systems and facilities should be highlighted in urban municipalities.Moreover,recycling,low-carbon agriculture,second-hand shops/markets,green markets,and homegrown vegetables should be encouraged for sustainable consumption.Working with local municipalities,credible leaders and representatives were the key senders.Additionally,message design should compare the pros and cons of behaviors,connect with local health and tourism,and promote dialogue in easy-to-understand and thought-provoking language.Receivers that drive LCC should have an excellent understanding of LCC practice and its benefits,be public-minded,and have a desire to live in a good environment.

Can the low-carbon city pilot policy promote the upgrading of high-carbon emitting enterprises? Evidence from China

As a crucial environmental reform system to realize“carbon peaking”and“carbon neutrality”,the pilot policy of low-carbon cities(LCCs)puts pressure and challenges on high-carbon emitting enterprises(HCEEs)while providing opportunities for these firms to take the path of independent transformation.Employing the data of Chinese listed enterprises from 2006 to 2016 and adopting a difference-in-differences(DID)model,we evaluated the impact of LCC construction on the upgrading of HCEEs and its mechanisms.The results indicate that LCC construction enhances the upgrading of HCEEs in the pilot cities.The conclusions remain stable after a series of robustness tests.The mechanism analysis reveals that LCC construction triggers the upgrading of HCEEs by promoting resource allocation efficiency,R&D investment,and green technology innovation.The heterogeneity results indicate that this positive effect is more pronounced for HCEEs in regions with more stringent environmental law enforcement.This study also observes that the upgrading impact is more promi‐nent for state-owned enterprises,enterprises with higher bargaining power,and enterprises whose managers have a long-term vision.The above results provide directions for upgrading HCEEs and replicable evidence for cities in developing economies to fulfill the win-win target of environmental protection and economic transfor‐mation.

Low-carbon scenario and technologies in modern city——Case study of Shenyang

From a multi-dimensional perspective of economic development,carbon dioxide and industrial pollutant emission and resource consumption in the case study of Shenyang,this paper analyzes the resource consumption and environmental impact in the process of urban economic development and low-carbon transition and evaluates the emission reduction potential and scenario of various technologies. The results show that city plays a key role in global low-carbon economic construction,and it is pointed out that emission reduction technology in urban scale can reduce total amount of carbon emission to substantial extent. From the aspect of future development,the input of technology and economic growth pattern should be strengthened so as to realize economic development as well as the total amount reduction of pollutant emission.

Interpretation of Low-carbon City Planning and Design——A Case Study of Gaochun Zijin Science and Technology Special Community

It is an important and unique approach of achieving sustainable urban development to save and use energy intensively, reduce carbon emission, and take the low-carbon development road. Taking Gaochun Zijin Science and Technology Special Community for example, this paper introduced planning measures for building a low-carbon city, including building a green network, compound utilization of urban spaces, establishing green transportation, using renewable resources, development of green architecture, so as to provide references for the future researches on the low-carbon urban development.

Evaluation and Obstacle Diagnosis of Low-carbon Intensive Land Use in Kaifeng City

Low carbon intensive use of urban land is an important trend to achieve regional high quality development.In this study,with Kaifeng municipal district as an example,the catastrophe progression model was used to estimate and analyze the low-carbon intensive use level of urban land in Kaifeng City from 2011 to 2020,and the obstacle factors in the process of low-carbon intensive land use in Kaifeng City were revealed by using the obstacle degree model.The results showed that during the study period,the low-carbon intensive use of land in Kaifeng City showed a slow,fluctuating and declining trend,and the overall situation was in a generally intensive state.The land input level and land output level were on the rise,while the low-carbon level of land and the degree of land use were on the decline.Currently,the main obstacle factors restricting the low-carbon intensive use of land in Kaifeng City were the carbon structure coefficient of land use,energy consumption per square kilometer,carbon emissions per square kilometer,carbon emissions per capita,and non-agricultural land use efficiency.In the future,it is necessary to further improve the land use structure and promote the high-quality development of Kaifeng City.

A review of low-carbon city construction research in China

Based on the analysis on the global warming and environmental deterioration,low-carbon concept has received more and more attention from governments,experts and scholars at home and abroad.The British government first put forward the concept of low-carbon economy,and after that the Japanese government proposed the construction of low-carbon society.In our country,experts and scholars began to research on low-carbon city from 2007.This paper looks through the practical and theoretical studies on low-carbon city construction of the domestic experts and scholars.The current background of lowcarbon city construction is first introduced.To clarify fundamental connotation,characteristics and target of China's low-carbon city is very important.Therefore,this paper summarizes the research progress of the low-carbon city construction from the necessity,the connotation and characteristics of target.Then,we should pay attention to choosing the right index,combining the region characteristics with the current development model and evaluation indexes system,to reflect and improve carbon emissions.Finally,the paper gives an overview of suggestions by experts and scholars on the construction of low carbon city.

Approach and Strategy of Constructing Low-carbon Communities

The developing focus of low-carbon society is constructing low-carbon cities which are based on the construction of low-carbon communities.The main ways of constructing low-carbon communities conclude low carbonization of planning and designing,low carbonization of construction materials,low carbonization of community environment,low carbonization of energy system,low carbonization of energy use and low carbonization of life style.The basic strategies of constructing low-carbon communities contain enhancing propaganda and education,strengthening technical innovation,cultivating low-carbon culture,advocating public participation and consolidating leadership in organizations.

Development of APEC Low-Carbon Town Indicator（LCT-I） System

The APEC （Asia-Pacific Economic Cooperation） LCMT （Low-Carbon Model Town） project was initiated in 2011 as apart of APEC＇s energy cooperation scheme in response to the rapid urbanization and growing fossil energy use in the developingeconomies of the APEC region. The LCMT project has conducted feasibility studies and policy reviews for a case town eachyear and developed and refined the ＂Concept of Low-Carbon Town in the APEC region （Concept）＂. The Concept is a guidebookfor city planners and developers who wish to implement low-carbon town design. In tandem with the Concept, the ＂APECLow-Carbon Town Indicator （LCT-I） System＂ has been developed since 2013. The LCT-I System is a self-assessment tool to assessand monitor the progress of each low-carbon town development project in the APEC region. The first edition of the LCT-I SystemGuideline and its evaluation sheet were published together with the final edition of the Concept in 2016. The LCMT project ismoving into the dissemination stage beginning in 2017 through the utilization of the LCT-I System. This paper explains the processof the development of the LCT-I System, provides a brief summary and discusses its expected role in the spread of low-carbontowns.

Qualitative Research Methods in Spatial Urban Development： A Methodological Investigation of Approaches into Urban Development Based on Centralities in the Context of a Medium-Sized European City

Dispersed and peripheral spaces in the urban core are influenced both by the trend towards constant growth as well as social ways of life which are constantly evolving. Following a connotation, these two factors therefore play a crucial role in defining the alternation of urban space--in particular, that of the centers. The main focus of this research article is on the methodology used in the survey and evaluation of ＂centralities＂ as well as their developments over the past four decades （1974-2014） in approaches to urban development that has been developed in Graz.~ The analysis has drawn on the four editions （＂evolution＂） of approaches to urban development as conceived by the city of Graz in order to examine their verbal characteristics in regard to centralities. At the same time, the analysis does not examine presentations of plans which exist in supplementary forms （e.g., explanatory reports and supplemented plans）--it restricts itself solely to the various plans set out in the STEKs.2 The highest degree of accuracy has been applied to the notion of ＂centralis＂ in approaches to urban development. The goal of the research project was to depict the modulation of the notion of ＂centrality＂ in the urban context as a space-forming dimension. Furthermore, it clearly shows the extent to which the notion of the ＂centre＂ （in the widest sense of the word） has become distanced from qualitative, spatial development and at the current time of urban development is experiencing a sort of Renaissance. In the field of ＂urban development＂, architectural references in the context of＂centrality＂ have scarcely been researched. This has led to the opening-up of a complex interdisciplinary research field. In order to make the complex architectural determinants of ＂centrality＂ more accessible to the participating disciplines, approaches to urban development have been explored in the form of a social and spatial analysis.

消费中心城市项目布局研究:分类、属性及途径

消费中心城市项目是消费中心聚集消费资源的重要载体,是服务消费者、引领消费潮流、发挥消费影响力的主要方式,项目成功与否是消费中心成败关键。对消费中心城市项目进行不同维度的分类,包括文化消费项目和物质消费项目、服务消费项目和商品消费项目、最终消费项目和中间消费项目、直接消费项目和间接消费项目、必要消费项目和非必要消费项目等,每种分类维度都有一定的分析意义。消费中心城市项目具有多种消费经济发展特性,包括消费的范围经济性、中心的规模经济性、文化消费的无限性和物质消费的有限性、消费的空间协调性、消费的系统制约性。在消费中心城市项目布局中,文化消费是关键,需要重点布局文化消费项目;物质消费带动潜力大,需要全面规划物质消费项目;空间资源紧张、空间成本高,需要通过中心紧密原则布局相关项目;消费系统配套性强,需要对消费中心城市项目进行超前和空间延展性布局;消费中心城市项目经济平衡作用显著,需要在欠发达地区做更多布局。

南京明城墙绿带草本层自生植物群落数量分类与排序分析

探索南京明城墙绿带草本层自生植物群落类型及其分布情况,确定影响其群落分布的主要环境因子,旨在为构建南京明城墙沿线绿色生态廊道及加强对于明城墙的保护提供理论依据。以南京明城墙绿带内30个样点为研究对象,基于南京明城墙绿带的野外调查数据,以物种重要值为指标,运用α多样性指数分析草本层自生植物的物种多样性特征,采用平均聚合聚类(UPGMA)和典范对应分析(CCA)进行数量分类与排序,研究南京明城墙绿带草本层自生植物群落组成、分布及其与环境因子的关系。结果表明:1)南京明城墙绿带草本层自生植物的物种多样性指数和均匀度指数均较高,且物种分布较为均匀;2)UPGMA聚类将明城墙绿带草本层自生植物分为棕榈-常春藤婆婆纳+中华薹草+黄鹌菜群落、繁缕+紫堇+诸葛菜+阿拉伯婆婆纳群落、常春藤婆婆纳+野芝麻+繁缕+紫堇群落、鹅观草+野芝麻+诸葛菜+紫堇群落、络石-鹅观草+常春藤婆婆纳+加拿大一枝黄花群落、天葵+繁缕+野芝麻+猪殃殃群落、络石-野芝麻+诸葛菜+南赤瓟群落、蓬蘽+络石-渐尖毛蕨+鹅观草群落、野芝麻+鹅观草+求米草+青绿薹草群落、络石-野芝麻+常春藤婆婆纳+诸葛菜群落、野蔷薇+络石+厚萼凌霄-茜草群落11组类型;3)CCA排序结果显示,影响南京明城墙绿带草本层自生植物群落分布的主要环境因子是郁闭度、枯落物厚度、墙体高度及墙面朝向。