Showing papers in "Cities in 2020"

TL;DR: Wang et al. as discussed by the authors analyzed the centrality of human movements, traffic flow and railway network through visualization of the results from Tencent (QQ) Location Big Data, railway service and census data, revealing that the vital contributor to the formation and success of the Greater Bay Area is its rapid growth of transport infrastructure and capacities, particularly high speed railway, promoting free flowing of the key factors.

TL;DR: The digital divide is explored in a case study of the seventh largest city in the United States; San Antonio is a majority-minority city where over half of the people are Hispanic and four of the factors played a role in the digital divide in this case study.

TL;DR: In this paper, the authors focus on postsocialist cities in Central and Eastern Europe in the broader debate on urban environmental justice, highlighting some extremes related to neoliberal and populist governments and very rapid processes that lack longterm democratic consensus within societies.

TL;DR: An in-depth investigation on the transmission of the novel coronavirus (COVID-19) from the urban perspective reveals that the distance to epicenter is a very strong influential factor, and is negatively linked with the spread of CO VID-19.

TL;DR: In this paper, the authors presented the results of the first phase of the project and assessed the ability of this new data to increase local environmental awareness and support local public policies in Portugal and elsewhere.

TL;DR: The tasks and algorithms of computer vision and their applications in understanding cities are reviewed to subdivide computer vision algorithms into tasks, and cities into layers to show evidence of where computer vision is intensively applied and where further research is needed.

TL;DR: In this article, the authors use spatial multi-criteria analysis to identify priority neighborhoods for green infrastructure based on six benefits of green infrastructure (managing stormwater, reducing social vulnerability, increasing access to green space, improving air quality, mitigating the urban heat island effect, and increasing landscape connectivity).

TL;DR: Wang et al. as mentioned in this paper employed nighttime light data and industrial enterprise datasets to investigate the spatial integration and industrial development in the Yangtze River Economic Belt (YREB) of China for 1995-2015.

TL;DR: In this article, a systematic literature review of the state-of-the-art was conducted to explore these differences based on four themes: engaged communities, participatory methods, degrees of participation and steps taken within cultural heritage management.

TL;DR: Wang et al. as discussed by the authors investigated the impact of population inflow and social infrastructure on urban vitality by establishing a panel fixed effect model based on the data of 35 large and medium-sized cities in China.

TL;DR: In this article, the authors compare two urban contexts that have undergone significant societal transformations over the last two to three decades: Sofia and Cape Town, and find that nature-driven stewardship initiatives differentially address deeper roots of environmental, social and racial privilege shaped significantly by post-socialist and post-apartheid transition contexts.

TL;DR: Wang et al. as discussed by the authors proposed a supply-demand improved two-step floating catchment area (2FSCA) method to estimate environmental justice in access to parks in developing countries.

TL;DR: Wang et al. as discussed by the authors argue that more effective and reasonable policies are the key to solve the complex problem for such cities on creating sustainable development, and three aspects of policy development, implementation and response are all very important.

TL;DR: Wang et al. as mentioned in this paper developed a community participation model and a collaborative workshop toolbox; analyzes how multiple stakeholders are unutilized through a collaborative workshops to participate in decision-making; explores how collaborative workshop was successfully carried out in the achievement of consensus; and argues the need for a new planning scheme.

TL;DR: In this paper, a quantity-based method to measure the pedestrian and bicycle-transit accessibility on the basis of which impacts of bicycling and walking on transit accessibility are estimated and compared.

TL;DR: It is argued that urban resilience implementation raises its own conceptual questions for both theory and practice, and the idea of resilience resistance is introduced as a new challenge for urban resilience.

TL;DR: Wang et al. as discussed by the authors analyzed the spatial patterns of interregional population mobility among 328 Chinese cities and identified the influential factors associated with population flows based on the exponential random graph model (ERGM).

TL;DR: Using regression analysis with auto spatial correlation, this paper explored the geographical transformation of urban sprawl between 1992 and 2015 in China and explained the dynamic changes from the perspectives of population, economy and ecology.

TL;DR: Zhang et al. as mentioned in this paper analyzed nearly 300 prefecture-level cities to examine the role of human capital and market access in shaping the economic geography of innovation-driven entrepreneurship in China.

TL;DR: The traditional single-mode model will overestimate park accessibility while the multi-modes model can provide more realistic evaluation and offer better guidance for urban park planning and get smoother and homogeneous results.

TL;DR: In this article, the role of urban form in influencing concentrations of this air pollutant is unresolved, and Ridge regression was employed to investigate relationships between satellite-derived estimates of PM2.5 concentrations and the urban form of 350 cities in the rapidly urbanizing Yangtze River Delta (YRD) of eastern China.

TL;DR: In this article, a "scale-density-morphology" resilience framework was proposed to investigate the evolution of urban resilience based on theories of landscape ecology and evolutionary resilience. And the authors found that spatial development is a major factor affecting scale resilience; population distribution is significantly related to density resilience; urban growth boundaries and ecological infrastructure are factors for optimizing morphology resilience.

TL;DR: It is argued that pandemics expose both the vulnerability and resilience of the urban system expansively, from rooftop to the region, but also serve as change agents for the planning of resilient cities and regions globally.

TL;DR: Wang et al. as discussed by the authors characterized the fine-scale built environment factors in the central urban area of Guangzhou, China, by integrating multi-source geospatial big data including Tencent user data, building footprint and stories, points of interest (POI) data and Google Earth high-resolution images.

TL;DR: This study proposes a novel framework for visualizing and exploring POIs on POI-type semantic space, with semantic relations of the types being considered, which provides an effective information delivery method for urban planning and POI related urban studies and applications.

TL;DR: In this paper, the authors divide urban facilities into two categories based on scarcity: irreplaceable and replaceable facilities, and find that the influence of urban facilities differs among different categories and submarkets.

TL;DR: Based on game theory, the authors investigates the bargaining process between developers and residents concerning benefit distribution and considers the government's role in achieving through various regulatory strategies the goals of either fairness or efficiency.

TL;DR: In this article, the authors investigated the role of industrial structure in shaping regional economic resilience at different stages with evidence from resource-based cities (RBCs) in China and found that industrial diversification has a positive effect while specialization tends to weaken the economic resilience, especially in mining cities.