scholarly journals The Scale, Logic and Structure of Intra-urban Place Communities Based on Place Niche Theory

Author(s):  
Yang Xie ◽  
Jie Zhang ◽  
Xiao Chen

Abstract Spatial agglomeration phenomena on the earth's surface permeate in various fields of the natural and human world, yet their researches in human society are relatively few with the focus mainly on the economic concept of "industrial clusters". Precise quantitative descriptions, in-depth logical analyses and overall systematic explanations are lacked in various intra-urban spatial agglomeration phenomena. Using over 10 million POIs in the mainland China, 18 grid network models of 9 grid scales based on two kinds of spatial relationships (co-location/adjacent) are constructed in this article. 23 typical place communities are extracted based on complex network analysis, and four types including 11 sub-categories of agglomeration patterns are summarized. Drawing on the concept of "ecological niche", we further propose the theory of "place niche" and analyze the logic and structure of intra-urban place communities within its framework. This study extends the spatial scales and dominating factors of the agglomeration phenomenon research.

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Xie Yang ◽  
Zhang Jie ◽  
Chen Xiao

AbstractSpatial agglomeration phenomena on the earth permeate in various fields of the natural and human world, yet their researches in human society are relatively few with the focus mainly on the economic concept of “industrial clusters”. Precise quantitative descriptions, in-depth logical analyses and proper application approaches for urban planning are lacked in various intra-urban spatial agglomeration phenomena. By using over 10 million POIs in the mainland China, 18 grid network models with two varieties of spatial relationships (co-location/adjacent) are constructed in this article. 23 typical place communities are extracted based on complex network analysis, and four types of agglomeration driving forces are summarized. A comprehensive demonstration displaying the application process of co-location/adjacent place matrices in auxiliary decision of the implanted place types is carried out with the example of the revitalization project of Taoxichuan Area in the city of Jingdezhen.


Author(s):  
Giulio Cainelli ◽  
Sandro Montresor ◽  
Marzetti Giuseppe Vittucci

The paper investigates the role spatial agglomeration has in affecting firm mortality of industries. In particular, the role of variety and specialization is addressed, along with the extent to which industrial clusters can be retained industrial districts. Empirical evidence is provided for a large panel of Italian provinces and manufacturing sectors, over the period 1995-2007. Urbanization economies, rather than localization ones, significantly diminish firm mortality of industries at the local level. The same holds true for industrial variety, even far from the specialization core. Industrial districts, instead, are neither safe nor dangerous places for firms, unless variety is controlled for. Preliminary evidence is also provided by the serial and spatial autocorrelation of firm' death and start-up rates.


Author(s):  
Robin Hanson

It tends to be easier to make social predictions about the middle of a distribution of characteristics, than about the tails of such a distribution. For example, it is easier to predict the typical time spent sleeping or eating, and the typical style of such activities, than the maximum or minimum time spent in such activities, or the styles of sleeping or eating done by those who spend an unusual amount of time in these functions. This is in part because when scenarios can differ according to a great many variables, this high-dimensionality creates a lot more detail to specify about the tails (i.e., extremes) compared with the middle of a distribution. This is also in part because hard-to-anticipate factors often have disproportionate effects on distribution tails. As ordinary humans are on the periphery of the em society, such issues make it harder to make predictions about humans in an em society. Even so, we should try. Ems are so fast that humans will only experience days in the time that a typical em experiences years. This suggests that during the entire em era humans will only achieve modest psychological and behavioral adaptations to the existence of ems. The human world will mostly look like it did before ems, except for a limited number of changes that can be made quickly. Ems being faster than humans also suggests that most substantial changes to human behaviors during the em era are driven by outside changes, rather than from within human society. Relevant outside changes include wars, changing prices such as wages, interest rates, and land rents, and an explosion of new products and services from the em economy. Because ordinary humans originally owned everything from which the em economy arose, as a group they could retain substantial wealth in the new era. Humans could own real estate, stocks, bonds, patents, etc. Thus a reasonable hope is that ordinary humans become the retirees of this new world. We don’t today kill all the retirees in our world, and then take all their stuff, in part because such actions would threaten the stability of the legal, financial, and political world on which we all rely, and in part because we have many direct social ties to retirees. Yes we humans all expect to retire today, while ems don’t expect to become human, but em retirees are vulnerable in similar ways to humans.


2006 ◽  
Vol 2 (2) ◽  
pp. 187-203 ◽  
Author(s):  
J. A. Dearing

Abstract. The paper reviews how we can learn from the past about climate-human-environment interactions at the present time, and in the future. It focuses on data sources for environmental change at local/regional and regional/global spatial scales, and shows the scope and limitations of each. It reviews alternative methods for learning from the past, including the increasing use of simulation models. The use of multiple records (observational, palaeoenvironmental, archaeological, documentary) in local case-studies is exemplified in a study from China, where independent records help unravel the complexity of interactions and provide a basis for assessing the resilience and sustainability of the landscape system. Holocene global records for Natural Forcings (e.g. climate and tectonics), Human Society and Ecosystems are reviewed, and the problems of reconstructing global records of processes that are only recorded at local scales examined. Existing regional/global records are used to speculate about the veracity of anthropogenic forcing of global climate, with specific consideration of the Ruddiman theory. The paper concludes that a full understanding of causes of earth system change through (at least) the Holocene can come only through the most rigorous reconstructions of climate, human activities and earth processes, and importantly their interactions, at all locations and at all scales. It follows that we need to promote inter-scale learning: regionalisation and generalisation of existing data would be useful first steps. There is now a need to develop long-term simulation models that can help anticipate complex ecosystem behaviour and environmental processes in the face of global environmental change – and resolving our past is an essential element in that endeavour.


2020 ◽  
Vol 12 (17) ◽  
pp. 6819
Author(s):  
Horațiu Vermeșan ◽  
Alexandrina Mangău ◽  
Ancuța-Elena Tiuc

The circular economy (CE) is a popular concept in the European Union (EU) space, which has been the subject of numerous research and substantiation activities. In the last years, there has been a growing interest in Romania regarding the characteristics of this new economic model and the principles on which it works. Referring to Romanian specialized literature currently available regarding the submitted topic, we consider that the theoretical part is insufficiently structured. In addition, by pointing out the applicability of the circular economy in Romanian space, we consider this to be represented mainly by the fragility of its effective and practical implementation. The examples of Romanian successes in the field of circular economy are limited, a fact that can be explained—from our perspective—through the aspect that in other EU countries, the process of development of CE has some precedents, a stronger background and a ”self-constructed” history in the topic. There is undoubtedly a necessity for adopting this new economic model, considering that, for the most part, Romanian economy is still dependent on the linear economic system. Starting from these arguments, the proposed article uses a thematic debate of the notion of circular economy, presenting, at the beginning, an incursion into the predominantly European variety of theoretical approaches. The selection of definitions and conceptualization is continued with an analysis of the stage of implementation of CE in Romania. The purpose of this approach is to investigate a niche identified in the Romanian space, not covered in the specialized scientific research and to expose the specificity of the process of transition of Romania to a circular economy, of the barriers encountered—namely, the problem related to the attitude and mentality regarding this new concept. We also point out that the intention of the study is to integrate a ”different” contemporary and very current economic concept into a real economy, and at the same time, to increase the visibility of its application at the level of a member country of the EU. The challenges encountered in the context of the increasingly present tendency in Romania of assimilating and complying with the precepts of the circular economy are also detailed, proposing, at the end of the study suggestions for improving the gaps identified at this level. The most realistic implementation of the circular model in Romania represents a qualitative plus for the human-society factor, as well as for the environment. In conclusion, we note that, despite the evolution of the number of theoretical approaches and concerns, the field of circular economy and the perspectives it proposes, continues to offer a favorable ground for further research.


2015 ◽  
Vol 54 (6) ◽  
pp. 1248-1266 ◽  
Author(s):  
Guoyu Ren ◽  
Jiao Li ◽  
Yuyu Ren ◽  
Ziying Chu ◽  
Aiying Zhang ◽  
...  

AbstractTrends in surface air temperature (SAT) are a critical indicator for climate change at varied spatial scales. Because of urbanization effects, however, the current SAT records of many urban stations can hardly meet the demands of the studies. Evaluation and adjustment of the urbanization effects on the SAT trends are needed, which requires an objective selection of reference (rural) stations. Based on the station history information from all meteorological stations with long-term records in mainland China, an integrated procedure for determining the reference SAT stations has been developed and is applied in forming a network of reference SAT stations. Historical data from the network are used to assess the urbanization effects on the long-term SAT trends of the stations of the national Reference Climate Network and Basic Meteorological Network (RCN+BMN or national stations), which had been used most frequently in studies of regional climate change throughout the country. This paper describes in detail the integrated procedure and the assessment results of urbanization effects on the SAT trends of the national stations applying the data from the reference station network determined using the procedure. The results showed a highly significant urbanization effect of 0.074°C (10 yr)−1 and urbanization contribution of 24.9% for the national stations of mainland China during the time period 1961–2004, which compared well to results that were reported in previous studies by the authors using the predecessor of the present reference network and the reference stations selected but when applying other methods. The authors are thus confident that the SAT data from the updated China reference station network as reported in this paper best represented the baseline SAT trends nationwide and could be used for evaluating and adjusting the urban biases in the historical data series of the SAT from different observational networks.


2021 ◽  
Vol 21 (24) ◽  
pp. 18375-18391
Author(s):  
Qingqing He ◽  
Mengya Wang ◽  
Steve Hung Lam Yim

Abstract. Satellite aerosol retrievals have been a popular alternative to monitoring the surface-based PM2.5 concentration due to their extensive spatial and temporal coverage. Satellite-derived PM2.5 estimations strongly rely on an accurate representation of the relationship between ground-level PM2.5 and satellite aerosol optical depth (AOD). Due to the limitations of satellite AOD data, most studies have examined the relationship at a coarse resolution (i.e., ≥ 10 km); thus, more effort is still needed to better understand the relationship between “in situ” PM2.5 and AOD at finer spatial scales. While PM2.5 and AOD could have obvious temporal variations, few studies have examined the diurnal variation in their relationship. Therefore, considerable uncertainty still exists in satellite-derived PM2.5 estimations due to these research gaps. Taking advantage of the newly released fine-spatial-resolution satellite AOD data derived from the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm and real-time ground aerosol and PM2.5 measurements, this study explicitly explored the relationship between PM2.5 and AOD as well as its plausible impact factors, including meteorological parameters and topography, in mainland China during 2019, at various spatial and temporal scales. The coefficient of variation, the Pearson correlation coefficient and the slope of the linear regression model were used. Spatially, stronger correlations mainly occurred in northern and eastern China, and the linear slope was larger on average in northern inland regions than in other areas. Temporally, the PM2.5–AOD correlation peaked at noon and in the afternoon, and reached a maximum in winter. Simultaneously, considering relative humidity (RH) and the planetary boundary layer height (PBLH) in the relationship can improve the correlation, but the effect of RH and the PBLH on the correlation varied spatially and temporally with respect to both strength and direction. In addition, the largest correlation occurred at 400–600 m primarily in basin terrain such as the Sichuan Basin, the Shanxi–Shaanxi basins and the Junggar Basin. MAIAC 1 km AOD can better represent the ground-level fine particulate matter in most domains with exceptions, such as in very high terrain (i.e., Tibetan Plateau) and northern central China (i.e., Qinghai and Gansu). The findings of this study have useful implications for satellite-based PM2.5 monitoring and will further inform the understanding of the aerosol variation and PM2.5 pollution status of mainland China.


Author(s):  
Ling Yao ◽  
Changchun Huang ◽  
Wenlong Jing ◽  
Xiafang Yue ◽  
Yuyue Xu

Analyzing the association between fine particulate matter (PM2.5) pollution and socio-economic factors has become a major concern in public health. Since traditional analysis methods (such as correlation analysis and geographically weighted regression) cannot provide a full assessment of this relationship, the quantile regression method was applied to overcome such a limitation at different spatial scales in this study. The results indicated that merely 3% of the population and 2% of the Gross Domestic Product (GDP) occurred under an annually mean value of 35 μg/m3 in mainland China, and the highest population exposure to PM2.5 was located in a lesser-known city named Dazhou in 2014. The analysis results at three spatial scales (grid-level, county-level, and city-level) demonstrated that the grid-level was the optimal spatial scale for analysis of socio-economic effects on exposure due to its tiny uncertainty, and the population exposure to PM2.5 was positively related to GDP. An apparent upward trend of population exposure to PM2.5 emerged at the 80th percentile GDP. For a 10 thousand yuan rise in GDP, population exposure to PM2.5 increases by 1.05 person/km2 at the 80th percentile, and 1.88 person/km2 at the 95th percentile, respectively.


2006 ◽  
Vol 2 (4) ◽  
pp. 563-604 ◽  
Author(s):  
J. A. Dearing

Abstract. The paper reviews how we can learn from the past about climate-human-interactions at the present time, and in the future. It focuses on data sources for environmental change at local and regional/global spatial scales, and shows the scope and limitations of each. The use of parallel histories in local case-studies is described in a case-study from China, where independent records help unravel the complexity of interactions and provide a basis for assessing the resilience and sustainability of the landscape system. Holocene global records for Natural Forcings (e.g. climate and tectonics), Human Society and Ecosystems are reviewed, and the problems of reconstructing global records of processes that are only recorded at local scales examined. Existing regional/global records are used to speculate about the veracity of anthropogenic forcing of global climate. The paper concludes that a full understanding of causes of earth system change through (at least) the Holocene can come only through the most rigorous reconstructions of climate, human activities and earth processes, and importantly their interactions, at all locations and at all scales. It follows that we need to promote inter-scale learning: regionalisation and generalisation of existing data would be useful first steps. There is now a need to develop long-term simulation models that can help anticipate complex ecosystem behaviour and environmental processes in the face of global environmental change – and resolving our past is an essential element in that endeavour.


Author(s):  
M.M. Goldsmith

Bernard Mandeville’s Fable of the Bees (1714) scandalized contemporaries by arguing that the flourishing commercial society they valued depended on vices they denounced. It resulted not only from the complementary satisfaction of appetites but was also based upon pride, envy and shame, which Mandeville traced to ‘self-liking’. Numerous individuals, driven by their own desires, acted independently to produce goods which required extensive, cooperative operations – an idea central to the economic concept of a market. Mandeville initially appeared to credit ‘skilful politicians’ with originating morality and society. However, in defending and expounding his views, he set out ‘conjectural histories’ of the gradual development of many complex social activities and institutions, including language and society itself, thereby denying that they had been invented by public spirited heroes. Throughout his works, Mandeville adopted a strict criterion of virtue, repeatedly denying that he was advocating, rather than exposing, the vices he identified as inherent in human society.


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