云南省城镇上山压力指标体系测算与分析

在提出城镇上山压力概念的同时构建了城镇上山压力指标体系,并进一步运用层次分析法、德尔菲法和综合模糊评价法测算和分析了2020年云南各州(市)的压力等级。研究结果表明:1由于耕地资源、人口、经济发展水平、农村社会发展不同,云南省城镇上山压力存在明显的空间非均衡性;2将云南城镇上山压力分为4个等级:Ⅰ等超高压主要位于滇中中部地区,Ⅱ等高压主要分布于滇中西部和东部、滇东南西部以及滇西南南部,Ⅲ等中压主要分布于滇中中部、滇西南大部分地区、滇西北的东部地区和滇东北北部,Ⅳ等低压主要分布于滇东南的东部和滇西北的西北部;3通过差异化的上山政策可以缩小城镇上山压力的非均衡性差距,云南省未来城镇上山的重点区域主要集中在滇中中东部、滇东南西部以及滇西南南部。     

A physically-based model of long-term food demand

Reducing hunger while staying within planetary boundaries of pollution, land use and fresh water use is one of the most urgent sustainable development goals. It is imperative to understand future food demand, the agricultural system, and the interactions with other natural and human systems. Studying such interactions in the long-term future is often done with Integrated Assessment Modelling. In this paper we develop a new food demand model to make projections several decades ahead, having 46 detailed food categories and population segmented by income and urban vs rural. The core of our model is a set of relationships between income and dietary patterns, with differences between regions and income inequalities within a region. Hereby we take a different, more long-term-oriented approach than elasticity-based macro-economic models (Computable General Equilibrium (CGE) and Partial Equilibrium (PE) models). The physical and detailed nature of our model allows for fine-grained scenario exploration. We first apply the model to the newly developed Shared Socio-economic Pathways (SSP) scenarios, and then to additional sustainable development scenarios of food waste reduction and dietary change. We conclude that total demand for crops and grass could increase roughly 35–165% between 2010 and 2100, that this future demand growth can be tempered more effectively by replacing animal products than by reducing food waste, and that income-based consumption inequality persists and is a contributing factor to our estimate that 270 million people could still be undernourished in 2050.     

PPGIS approach for defining multimodal travel thresholds: Accessibility of popular recreation environments by the water

It is essential to ensure equal accessibility to services, such as sport and recreation facilities or green and water environments. Differences in accessibility can potentially cause negative health and social welfare implications. Accessibility and service area analyses from the perspective of access equality are typically rather simple. They are often based on arbitrary travel-distance thresholds and made only with a single mode of transport in mind. Thus, they exclude the multidimensional nature of accessibility where individuals' travel behavior and perceived accessibility also play an important role. In this paper, a PPGIS method was used to empirically investigate distances and durations that respondents travel with different modes of transport to access popular water environments. Service area analyses were built on person-based and objectively measured threshold values that not only take into account the spatio-temporal elements of transport networks and a land use component but also recognize the requirements and preferences of individuals and their capacity to access and participate. The results showed that the most common mode of transport to access waters is walking. Generally, the residents travel by foot for 1.7 km to access water environments. Cars were found as the second most common mode of transport used, and most of the popular water environments are accessible by car from every corner of the study area in a given travel threshold time. The results demonstrate the importance of deriving local parameters and the potential of the PPGIS approach for accessibility and service area delineation.     

Spatial and economic effects of the Bohai Strait Cross-Sea Channel on the transportation accessibility in China

The Bohai Strait Cross-Sea Channel (BSCC) is a mega-strategic project that connects the Shandong Peninsula and northeastern China. After half a century of research, this project has entered its preliminary planning phase. Based on the Chinese modern transportation system database, this paper applies Dijkstra's algorithm to study the impacts of the BSCC on the structure of Chinese transportation accessibility and discusses the spatial and temporal changes and the strength of economic linkages among the eight affected coastal urban agglomerations before and after the construction of the BSCC. This study concludes that: (1) the BSCC will open up a northeast–southwest traffic artery in coastal areas of China that will significantly improve the transportation accessibility of both these coastal areas and northeastern China as a whole, which cover an area of 2.18 million km², and on average will reduce the travel time of nationwide prefecture-level cities by 16 min; (2) the BSCC will significantly improve the total economic linkages (TELs) of urban agglomerations of the Central South Liaoning, the Shandong Peninsula and the Harbin–Changchun transport link and will decrease the spatial differences in the strength of cities' economic linkages, which will benefit the integration of the Bohai Economic Circle; (3) the BSCC will eliminate the segregation between the two coastal economic groups brought about by the Bohai Strait. This will promote the revitalization of the old industrial base in northeastern China by expanding the radiation scope of the Yangtze River Delta and the Shandong Peninsula across the Bohai Strait into northeastern China. Additionally, the BSCC will enhance the economic linkages between urban agglomerations in northeastern China and the western shore of the southeastern coast, Pearl River Delta, and North Gulf of Guangxi on the southeastern coast. Finally, it will create northeast–southwest economic integration in these coastal areas. This research will assist decision-making for the BSCC project and other cross-sea tunnels in China.     

Difference of urban development in China from the perspective of passenger transport around Spring Festival

Because cities have different attractions for laborers, people migrate from city to city, which may widen the gap between cities. Analyzing the fluxes and directions of migrant flows can help us clarify the regional difference of urban development. Using migration data inferred from passenger travels during 2016 Spring Festival from Tencent Location Big Data, this paper analyzed the unbalanced migration between cities and the spatial difference of urban development. Network analysis methods are employed to evaluate interactions among cities. A community detection method identifies 19 city communities, and the directions of migrant flows in the communities are explored. The PageRank algorithm is employed to evaluate the importance of cities on the migration network and divide the cities into 5 grades, and then the hierarchical structure of the migrant network is illustrated and analyzed. Indices based on migrant populations indicate that the most attractive cities for laborers are along the east coast and that cities in the central region export a significant number of laborers. PageRank and attractiveness values are compare with socio-economic data, and the results indicate that both PageRank and attractiveness are positively correlated with the economic and development level of cities, while PageRank works better. It suggests that Spring Festival travel data in China can be used as migration data, however, it should be facilitated with network methods to disclose the relationship between Spring Festival travel and urban development.     

The impact of armed conflict and forced migration on urban expansion in Goma: Introduction to a simple method of satellite-imagery analysis as a complement to field research

The effects of armed conflict on cities constitute a large field of research in both conflict studies and urban studies. The topic of urban expansion is also explored by the domain of remote sensing, a sub-branch of geoinformation science. Remote sensing researchers analyze the spatial development of cities in conflict and non-conflict environments using satellite imagery.However, a dialogue or collaboration between these disciplines is virtually non-existent in the scientific discourse, mainly due to stark differences in their methodologies – namely, intensive on-the-ground field research in the case of conflict and urban studies and highly elaborate computer-based analysis of remotely-gathered data in the case of remote sensing.We aim to demonstrate a simple and thus feasible approach for the use of satellite imagery by non-experts of remote sensing, to add a spatio-temporal dimension to the results of in-depth field studies. We apply our approach to the city of Goma, in the eastern region of the Democratic Republic of the Congo, which is located at the center of protracted armed conflict that has raged for decades. With the support of local knowledge acquired during field visits, we visually analyze a time series of Landsat data and add our own results to those of existing research. Contextualizing the mapped results of Goma's urban expansion between 1986 and 2015, we show how urban growth is linked to particular waves of forced displacement caused by different stages of armed conflict and one particular natural disaster.     

Quantifying the sustainability of urban growth and form through time: An algorithmic analysis of a city's development

Throughout the latter half of the 20th century, households and cities have changed dramatically. Dense urban developments have given way to lower density suburbanization, while the changing face of the typical family has led to different household makeups. Analyzing how changing urban form influences the sustainability of cities is important for planning future ways in which society aggregates itself. Using current data layers, such as urban boundaries and building footprints, along with past aerial photographs of the city and census data, a detailed reconstruction of the city of Pocatello, Idaho was possible for 1941 for both urban form and population. Using these data sources an algorithmic analysis of various aspects of the city, clustering, compactness, connectivity, and density, was performed on a decadal basis. Results showed an overwhelming trend toward less sustainable development for the city, larger blocks, measured by intersection density, larger distances between houses, fewer people utilizing more space, a more irregularly shaped urban form, an average greater distance from the city center for development, and decreased connectivity, as measured by intersection density. Because the data sources used for this study are readily available to most planning municipalities, the same analysis could be performed on various cities and metros across the United States.     

Rewriting the book of the city: on old signs,new technologies,and reinventing Adelaide

Can a sense of ownership over constantly changing urban places be generated through pedestrian exploration and everyday digital media practice? This paper begins with the author’s visit to the city of Adelaide, where a chance encounter – an intriguing sign painted on the wall of a city building – led to a hunt through the city for ghost signs, the remnants of old hand-painted advertisements. This spontaneous activity, combined with the online exploration and image sharing that followed, generated a renewed feeling of connection to, and ownership over, an erstwhile familiar locale. The experience is analysed through the work of theorists investigating change and belonging in modern cities including Guy Debord, Doreen Massey, Michel de Certeau, Andreas Huyssen, and Mark Crinson, as well as the contemporary growth in both politically inspired urban exploring (“Urbex” or “place hacking”) and the digital documentation and sharing of ghost signs and other urban ephemera.     

Legacies of a Contested Campus: Urban Renewal,Community Resistance,and the Origins of Gentrification in Denver

The postwar urban renewal experience varied among US cities according to the result of local social contests pitting those imposing their power to transform urban space against those resisting it. In this paper, we examine the role of one such contest in shaping urban renewal outcomes in Denver, using the case of the late 1960s Auraria project. The project sought to remove a poor, Hispanic neighborhood in order to build a new downtown college campus, generating community opposition from the inner city neighborhood residents, leaders of the city’s Chicano Movement, and historic preservation activists. We demonstrate how resistance actively shaped the ultimate form and character of the project, and how the legacies of this urban renewal contest extended—in unforeseen ways—beyond the immediate struggles of the time. We argue that these legacies provide the essential context for understanding planning practice, redevelopment strategies, and gentrification dynamics in the city today.     

Multiscale quantification of urban composition from EO-1/Hyperion data using object-based spectral unmixing

Quantification of the urban composition is important in urban planning and management. Previous research has primarily focused on unmixing medium-spatial resolution multispectral imagery using spectral mixture analysis (SMA) in order to estimate the abundance of urban components. For this study an object-based multiple endmember spectral mixture analysis (MESMA) approach was applied to unmix the 30-m Earth Observing-1 (EO-1)/Hyperion hyperspectral imagery. The abundance of two physical urban components (vegetation and impervious surface) was estimated and mapped at multiple scales and two defined geographic zones. The estimation results were validated by a reference dataset generated from fine spatial resolution aerial photography. The object-based MESMA approach was compared with its corresponding pixel-based one, and EO-1/Hyperion hyperspectral data was compared with the simulated EO-1/Advanced Land Imager (ALI) multispectral data in the unmixing modeling. The pros and cons of the object-based MESMA were evaluated. The result illustrates that the object-based MESMA is promising for unmixing the medium-spatial resolution hyperspectral imagery to quantify the urban composition, and it is an attractive alternative to the traditional pixel-based mixture analysis for various applications.