The Legibility Efficacy of Historical Neighborhoods in Creating a Cognitive Map for Citizens

Nowadays, historical neighborhoods in Iran are in a state of decay due to the lack of spatial legibility with respect to their organic spatial layout. Hence, the level of interaction among people and their perception of the environment has gradually diminished. Historical neighborhoods no longer possess their former prosperity and function, and citizens prefer to inhabit neighborhoods with newer configurations to meet their demands. The aim of this study was to investigate the role of the spatial legibility of historical neighborhoods in creating a suitable cognitive map for citizens. Quantitative and qualitative methods were applied using a questionnaire and simulation test instruments. In addition, in order to analyze the spatial configuration of the target areas, the Space Syntax method was implemented using Depthmap 10. The findings indicated that landmarks and navigation signs were identified as the most important factors affecting legibility from the viewpoint of users. Furthermore, the correlation between integration and connectivity illustrated that the studied areas possessed poor spatial legibility due to the organic texture of their spatial configurations. Accordingly, solutions such as enhancing the interaction between highly integrated streets and identified landmarks were emphasized to ameliorate the legibility of these spaces. The present study contributes to sustainable urban design with respect to the rejuvenation of historical districts by proposing a set of pragmatic alterations of urban spatial configurations. This research may be fruitful for urban designers, planners and managers seeking to revitalize historical neighborhoods

Structural Characteristics, Evolution Trend, and Influence Mechanism of Urban Creative Networks in China: A Case Study of Chinese Digital Music

Urban creative networks, as distinct forms of production networks, differ from inter-firm-based urban networks. It is featured by flexible production, "temporary cooperation" and being "people-centered." This study attempts to address the concept of the urban creative network in theory, and based on the basic database of Chinese digital music, it integrates the social network, Geographical Information System (GIS) spatial analysis, and econometric model to empirically analyze the structural evolution characteristics and influencing factors of the creative cooperation network of Chinese singers in the past 40 years, which enriches the theoretical and empirical study of urban networks from the perspective of creative individual connections. The results suggest the following: (1) The scale of Chinese urban digital music collaborative networks grows rapidly and shows the characteristics of low density and a "small world", and network density is negatively correlated with network scale, with obvious social network properties. (2) The collaborative network as a whole presents a "core-periphery" structure and the development trend of polycentricity and high-centricity cities are mainly located in the eastern region, with relatively low centrality in the central and western cities, and gradually forms a triad structure of Beijing-Hong Kong-Taipei. (3) The evolution of the digital music cooperation network is characterized by both path dependence and path creation, and the main form of network extension is hierarchical diffusion, with the early high-intensity links between Hong Kong and Taiwanese cities gradually being replaced by mainland cities. (4) The coverage of city ties in the cooperative network expands with an uneven spatial distribution, and high-intensity ties are mainly concentrated in the eastern cities. Over time, the core cities' control over network resources through inter-high-intensity ties weakened. (5) The cooperative network has an obvious community structure, and the communities of this coproduction network appear to be expanding, grouping, and hierarchical, with dual-core and multi-core models as its main spatial organization modes. (6) A negative binomial regression model analysis shows that the scale of the urban economy, industrial structure, and the level of the network economy have significant impacts on the network structure, while the roles of human capital, opening up, urban administrative level, and traffic accessibility are not evident, indicating that the Chinese music cooperation network has obvious endogenous mechanisms and local embeddedness. The findings of this study provide in-depth theoretical and policy insights for understanding intercity interactions and promoting the development of creative industries under the influence of the creative (digital) economy. First, a study on city networks based on the production networks of digital creative industries should focus on the characteristics of creative production networks and the role of creative actors (people). Second, policymakers should fully understand the characteristics of digital creative production sector actors and production modes when formulating policies for the development of digital creative industries and choose development paths that fit the advantages of local resources to realize industrial development. Finally, we propose a future research agenda for urban creative networks

Towards resilient neighbourhood governance: social tensions in Shanghai’s gated communities before and during the pandemic

Abstract Great attention has recently been drawn to the discussion of the resilience of neighbourhood governance as part of the response to threats such as pandemics and climate change. This article conceptualises resilient neighbourhood governance by highlighting the importance of the historical development of collaborative governance in the response mechanism during crises. The social tensions in three typical gated communities in Shanghai before and during the pandemic were empirically investigated through an event system analysis, and the findings suggest that a counterbalance game is co-played by the stakeholders within the triangular state–market–society structure in neighbourhood governance. Whereas state power, represented by the street office and residential committee, held a dominant position in the monitoring of nonstate organisations and mitigated conflicts between society and the market, civic participation, which was less conspicuous in daily management, played a substantial role in maintaining basic order and the supply of life necessities during COVID-19. The market functioned by providing professional services and transmitting information between residents and local governmental agencies. This study helps policymakers, community managers, urban planners, and urban studies researchers to form a more thorough understanding of the resilience of neighbourhood governance in both everyday life and during crisis management

Semiology of Art and Mysticism in Persian Architecture According to Rumi’s Mystical Opinions (Case Study: Sheikh Lotf-Allah Mosque, Iran)

A glimpse of the history of Islamic art indicates that Sufism and mysticism have long been among the most important intellectual and spiritual currents influencing Persian art and architecture. Accordingly, re-reading the symbolic concepts as well as the mystical and spiritual semiotics and seeking their reflection in the body of architecture is an obligatory instruction that should be considered in the process of architectural design. In this research, the authors endeavor to investigate the semiology in the physical elements of Sheikh Lotf-Allah Mosque in Isfahan and its relationship with Rumi’s mysticism using inferential–analytical methods and based on library studies and empirical observations. This research found that the Sheikh Lotf-Allah Mosque was constructed according to the mystical opinions of Rumi in order to demonstrate the semantic values of different levels of the universe in its physical form, structure and configuration. According to the findings, the use of Rumi’s mysticism propagates a God-centered semantic spirit to the body of Persian architectural elements, which always reminds human beings of their true home, which is the heavenly world. According to Rumi, the nature of architecture is beyond the material, and it is God-centered contemplation that turns the architecture into magnificent buildings

Semiology of Art and Mysticism in Persian Architecture According to Rumi’s Mystical Opinions (Case Study: Sheikh Lotf-Allah Mosque, Iran)

A glimpse of the history of Islamic art indicates that Sufism and mysticism have long been among the most important intellectual and spiritual currents influencing Persian art and architecture. Accordingly, re-reading the symbolic concepts as well as the mystical and spiritual semiotics and seeking their reflection in the body of architecture is an obligatory instruction that should be considered in the process of architectural design. In this research, the authors endeavor to investigate the semiology in the physical elements of Sheikh Lotf-Allah Mosque in Isfahan and its relationship with Rumi’s mysticism using inferential–analytical methods and based on library studies and empirical observations. This research found that the Sheikh Lotf-Allah Mosque was constructed according to the mystical opinions of Rumi in order to demonstrate the semantic values of different levels of the universe in its physical form, structure and configuration. According to the findings, the use of Rumi’s mysticism propagates a God-centered semantic spirit to the body of Persian architectural elements, which always reminds human beings of their true home, which is the heavenly world. According to Rumi, the nature of architecture is beyond the material, and it is God-centered contemplation that turns the architecture into magnificent buildings

Structure and Influencing Factors of the Global Cooperation Network of E-Sports Teams

With the progress of information technology and the transformation of the global economy, the digital economy is increasingly showing rapid growth and is becoming a key force in restructuring global factor resources, the global economic structure, and the global competitive landscape. E-sports, which is an emerging cultural industry and sport, has great significance in promoting cultural exchanges among countries and enhancing their respective national soft power. Presently, owing to its professionalization, internationalization, and ecologization, e-sports enables broader and multidimensional connections between game participants. However, e-sports cooperation networks based on virtual communities have not yet received widespread attention. Therefore, this study uses the information database of the participating teams of three international e-sports events, namely, the League Of Legends World Championship, The International DOTA2 Championships, and the CS: GO Major, to explore the structure of transnational e-sports team networks and their evolution from a theoretical perspective of virtual communities. This study uses the social network analysis and the gravitational model methods to reveal the multidimensional proximity and national attributes that influence the e-sports cooperative network patterns. The results show that first, the spatial evolution of the global e-sports cooperation network shows rapid expansion and low density, weak association, and strong dynamic network characteristics. The number of nodes increases rapidly while the network density shows a fluctuating decrease. This indicates that the development of Internet technology and the increasing popularity of e-sports have drawn increasingly more countries to participate in international e-sports activities, and the node connection of the e-sports cooperation network tends to be decentralized as a whole. Second, the global e-sports cooperation network has evolved into five associations representing geographical regions: the European associations with Denmark, Sweden, Finland, and Germany as the core, the Asia-Pacific associations with China and South Korea as the main partners, the Commonwealth of Independent States associations with Russia and Ukraine as the main partners, the Latin American associations with Peru and Argentina, as the main partners, and the Intercontinental associations with the United States and Canada as the main partners. Third, the spatial structure of the global e-sports cooperation network is influenced by the interrelationship between countries and their respective industrial bases. Social and organizational proximities drive the formation of e-sports cooperation networks, whereas geographical and cultural proximities do not significantly affect e-sports team cooperation. The interaction between geographical proximity and social proximity on the intensity of e-sports cooperation reflects a substitution effect; scientific research expenditure, e-sports revenue, and e-sports strength are the key elements affecting countries' importance in e-sports cooperation networks. Conversely, economic scale and general factors such as economic size and education level do not have significant effects on global e-sports team cooperation. This reflects the uniqueness of the e-sports industry in a digital economy. This study contributes to the research on the reconfiguration of industrial organization networks driven by the digital economy. Furthermore, this study provides a reference for making China's e-sports industry internationally competitive by improving its e-sports training system

Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework

An actual cropland extent product with a high spatial resolution with a precision of up to 60 m is believed to be particularly significant in tackling numerous water security concerns and world food challenges. To advance the development of niche, advanced cropland goods such as crop variety techniques, crop intensities, crop water production, and crop irrigation, it is necessary to examine how cropland products typically span narrow or expansive farmlands. Some of the existing challenges are processing by constructing precision-high resolution cropland-wide items of training and testing data on diverse geographical locations and safe frontiers, computing capacity, and managing vast volumes of geographical data. This analysis includes eight separate Sentinel-2 multi-spectral instruments data from 2018 to 2019 (Short-wave Infrared Imagery (SWIR 2), SWIR 1, Cirrus, the near infrared, red, green, blue, and aerosols) have been used. Pixel-based classification algorithms have been employed, and their precision is measured and scrutinized in this study. The computations and analyses have been conducted on the cloud-based Google Earth Engine computing network. Training and testing data were obtained from the Google Earth Engine map console at a high spatial 10 m resolution for this analysis. The basis of research information for testing the computer algorithms consists of 855 training samples, culminating in a manufacturing field of 200 individual validation samples measuring product accuracy. The Pakistan cropland extent map produced in this study using four state-of-the-art machine learning (ML) approaches, Random Forest, SVM, Naïve Bayes & CART shows an overall validation accuracy of 82%, 89% manufacturer accuracy, and 77% customer accuracy. Among these four machine learning algorithms, the CART algorithm overperformed the other three, with an impressive classification accuracy of 93%. Pakistan’s average cropland areas were calculated to be 370,200 m2, and the cropland’s scale of goods indicated that sub-national croplands could be measured. The research offers a conceptual change in the development of cropland maps utilizing a remote sensing multi-date

Research Progress and Prospects of Chinese Cybergeography Against the Background of the Digital Transition

Cybergeography, an emerging subfield of human geography, has received increasing attention over recent decades. In particular, the digital transition of cities and the rapid rise of the digital economy have provided an impetus to the development of Cybergeography in China. This study attempts to provide a literature review of the research progress in Cybergeography in China over the past two decades regarding its disciplinary characteristics, main branches, and evolutionary paths. Through a bibliometric analysis and knowledge graphs based on a large number of Chinese articles (8,735) in geographic journals from the database (CNKI), we concluded that Chinese Cybergeography is mainly encompassed in the fields of urban geography, economic geography, tourism geography, geographical information science, and other disciplines, and the main institutional contributors include the Nanjing University, Institute of Geographic Sciences and Resources of the Chinese Academy of Sciences, East China Normal University, Hebei Normal University. Chinese Cybergeography can be classified into five independent but interconnected sub-areas: (1) urban network analysis based on information flows; (2) online consumption behavior and their spatial impacts on urban space; (3) internet visibility and tourism flow; (4) smart cities and communities; and (5) digital economy and its interactions with spatial organizations. Chinese Cybergeography has experienced four phases: the embryonic stage during the initial 21st century, fast development period (2006-2013), flourishing period (2014-2019), and transition period (since the outbreak of COVID-19). Chinese Cybergeography has evidently become highly diversified and interdisciplinary through this period, with its research focus expanded from the early stages of "informatization level" and "regional differences" to hot topics, such as "flow space," "digital economy," and "smart city." Thereafter, we pointed out that Chinese Cybergeography has achieved fruitful achievements in the past 20 years and even has international leadership in some fields; however, compared with the rich and colorful theoretical establishments in the West, various problems and challenges are still present. For example, a relatively old-fashioned disciplinary thinking based on the absolute space concept currently exists, while limited attention has been paid to research on virtual societies and metaphor space, as well as the critical discourses on cultural and social consequences of digital transition. Furthermore, the big data method also tends to be overused in existing research, whereas the fieldwork-based approach has largely been neglected. Finally, we provide prospects for future research on Chinese Cybergeography by proposing that, in response to the digital and intelligent transformation in today's world, there is an urgent research agenda to establish China-characterized Cybergeography by incorporating Western establishments in theories and Chinese demands in practice. On the one hand, enriching the current research perspective is necessary by incorporating epistemologies from critical and humanistic geography. On the other hand, Chinese Cybergeography needs to keep up with the development and changes in social practices to continuously expand the research scope, such as focusing on the impacts of emerging digital technologies (such as artificial intelligence and metaverse) on urban and regional development. Therefore, Chinese Cybergeography can aid decision makers in promoting urban digital transformation, development of the digital economy, and coordinative development among different regions and cities