Analysis of Urban Impervious Surface in Coastal Cities: A Case Study in Lianyungang, China

Impervious surface is an important indicator of the level of urbanization. It is of great significance to study the impervious surface to promote the sustainable development of the city. In the process of urban development, the increase of impervious surface cities is bound to be accompanied by a reduction of one or more types of land use in the city. This paper, taking Lianyungang as an example, introduces the methods of extracting urban impervious surface based on VIS model, NDVI (normalized vegetation index), MNDWI (modified normalized water body index), and unsupervised classification, analyzes the changes of impervious surface in Lianyungang from 1987 to 2014, and on this basis, analyzes the trend and driving forces of land use types in Lianyungang city in depth. The results show that the impervious surface of Lianyungang increased by a total of 29.70% between 1987 and 2014. While the impervious surface continues to increase, the area of cultivated land and coastal areas (including salt works and tidal flats) has been greatly reduced, and the types of land use have undergone significant changes

Remote sensing of night lights: a review and an outlook for the future

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recordRemote sensing of night light emissions in the visible band offers a unique opportunity to directly observe human activity from space. This has allowed a host of applications including mapping urban areas, estimating population and GDP, monitoring disasters and conflicts. More recently, remotely sensed night lights data have found use in understanding the environmental impacts of light emissions (light pollution), including their impacts on human health. In this review, we outline the historical development of night-time optical sensors up to the current state of the art sensors, highlight various applications of night light data, discuss the special challenges associated with remote sensing of night lights with a focus on the limitations of current sensors, and provide an outlook for the future of remote sensing of night lights. While the paper mainly focuses on space borne remote sensing, ground based sensing of night-time brightness for studies on astronomical and ecological light pollution, as well as for calibration and validation of space borne data, are also discussed. Although the development of night light sensors lags behind day-time sensors, we demonstrate that the field is in a stage of rapid development. The worldwide transition to LED lights poses a particular challenge for remote sensing of night lights, and strongly highlights the need for a new generation of space borne night lights instruments. This work shows that future sensors are needed to monitor temporal changes during the night (for example from a geostationary platform or constellation of satellites), and to better understand the angular patterns of light emission (roughly analogous to the BRDF in daylight sensing). Perhaps most importantly, we make the case that higher spatial resolution and multispectral sensors covering the range from blue to NIR are needed to more effectively identify lighting technologies, map urban functions, and monitor energy use.European Union Horizon 2020Helmholtz AssociationNatural Environment Research Council (NERC)Chinese Academy of ScienceLeibniz AssociationIGB Leibniz Institut

Multisource Remote Sensing based Impervious Surface Mapping

Impervious surface (IS) not only serves as a key indicator of urbanization, but also affects the micro-ecosystem. Therefore, it is essential to monitor IS distribution timely and accurately. Remote sensing is an effective approach as it can provide straightforward and consistent information over large area with low cost. This thesis integrates multi-source remote sensing data to interpretate urban patterns and provide more reliable IS mapping results. Registration of optical daytime and nighttime lights (NTL) data is developed in the first contribution. An impervious surface based optical-to-NTL image registration algorithm with iterative blooming effect reduction (IS_iBER) algorithm is proposed. This coarse-to-fine procedure investigates the correlation between optical and NTL features. The iterative registration and blooming effect reduction method obtains precise matching results and reduce the spatial extension of NTL. Considering the spatial transitional nature of urban-rural fringes (URF) areas, the second study proposed approach for URF delineation, namely optical and nighttime lights (NTL) data based multi-scale URF (msON_URF).The landscape heterogeneity and development vitality derived from optical and NTL features are analyzed at a series of scales to illustrate the urban-URF-rural pattern. Results illustrate that msON_URF is effective and practical for not only concentric, but also polycentric urban patterns. The third study proposes a nighttime light adjusted impervious surface index (NAISI) to detect IS area. Parallel to baseline subtraction approaches, NAISI takes advantage of features, rather than spectral band information to map IS. NAISI makes the most of independence between NTL-ISS and pervious surface to address the high spectral similarity between IS and bare soil in optical image. An optical and NTL based spectral mixture analysis (ON_SMA) is proposed to achieve sub-pixel IS mapping result in the fourth study. It integrates characteristics of optical and NTL imagery to adaptively select local endmembers. Results illustrate the proposed method yields effective improvement and highlight the potential of NTL data in IS mapping. In the fifth study, GA-SVM IS mapping algorithm is investigated with introduction of the achieved urban-URF-rural spatial structure. The combination of optical, NTL and SAR imagery is discussed. GA is implemented for feature selection and parameter optimization in each urban scenario

Strategies for New Small Businesses to Be Successful Beyond 5 Years

In the United States, small businesses have a high failure rate, with approximately 50% going out of business during the first 5 years. The purpose of this multiple case study was to explore strategies small business owners in the mid-Atlantic region of the United States used to stay in business for more than 5 years. Entrepreneurship theory provided the conceptual framework for the study. A sample of 5 small business owners participated in semistructured face-to-face interviews, and additional data were collected from field notes, observations, and review of artifacts related to small business success and longevity. Data were analyzed using Yin\u27s 5 stages of coding to reveal 4 themes: solve a problem, ensure start-up money, address marketing, and provide great customer service. Proper planning that addressed all 4 themes was the most important leadership strategy to sustain small businesses beyond 5 years. The results of this study might bring about positive social change by helping small business owners to ensure business growth, increase revenues, stimulate job creation, foster social unity, and promote local economic stability

Small Business Marketing Strategies for the First 5 Years

Small businesses have an integral role in the U.S. economy and represent 99.7% of all employers in the United States; however, approximately 50% of small business start-ups fail within the first 5 years. Developing and implementing a well-formulated marketing strategy is critical to the success of business because a marketing strategy provides long-term benefits for a company\u27s financial performance and increases the survival rate. The objective of this case study was to explore the marketing strategies that small retail business owners use to sustain their businesses for the first 5 years. The population was 5 successful retail-based small business owners in New York and New Jersey who had developed a well-formulated marketing strategy and sustained their start-ups for the first 5 years. The conceptual framework built upon Porter\u27s competitive strategy theory. Data collection involved semistructured, face-to-face interviews and a review of company marketing documents. Data analysis involved coding and populating the data in software. Thematic analysis and methodological triangulation of the data revealed several themes: online marketing, marketing knowledge and planning, market research, and customer acquisition and retention. The findings of this study contribute to social change through the potential to improve economic activity, create stability in the local economy, and decrease small business failure rates by using marketing strategies effectively. Application of the findings could also lead to increased employment in communities where small businesses are located to improve the standard of living of local residents and contribute to effective positive social chang

Leadership Strategies for Retaining Healthcare Professionals

Obtaining information about employee engagement and retention practices is vital for organizations. Affective organizational commitment reflects the extent to which organizational members are loyal and willing to work toward organizational objectives. In particular, affective organizational commitment holds important implications at all organizational levels (e.g., turnover rates, performance, and citizenship behavior). Using general systems theory and transformational leadership theory, the purpose of this single case study was to explore strategies used to improve employee engagement and retention from 5 senior leaders with hiring responsibilities from a midsize hospital in Austin, Texas that have been successful with employee engagement and retention strategies. All participants volunteered to participate in semistructured interviews. The interviews were transcribed and participants were asked to member check the drafted findings to reinforce credibility and trustworthiness. Interview data and researcher reflexive memos were inductively analyzed and coded through NVivo. Five themes emerged that focused on employee engagement and retention: development and training, reward and recognition, compensation, work-life balance, and leadership skills and behaviors. By implementing practices that improve employee engagement and retention, hiring managers can increase employee productivity, reduce employee turnover cost, create a stable life for the individuals in need of support, and develop relationships with the community where integration occur

Employee Retention Strategies for Executive Operation Leaders in an Academic Nursing Environment

Employee attrition affects organizations in the form of lower productivity, decreased profitability, and reduced sustainability. In 2014, business owners lost over $11 billion in tangible and intangible assets due to the inability to retain employees. Using the social exchange theory as the conceptual framework, the purpose of this multiple case study was to explore effective employee retention strategies used by business leaders in an academic nursing environment. The study encompassed participants from 3 of the United States: Texas, Kentucky, and Florida. Participants were purposefully selected because of their experience in implementing effective employee retention strategies. Data were collected via semistructured interviews with 4 business leaders. Data were analyzed using inductive coding of phrases, word frequency searches, and theme interpretation. Three themes emerged from the analysis of data: supportive leadership assisted in the retention of employees, growth and development opportunities for employees continued their commitment with the organization, and a robust and focused onboarding process was a critical component of creating the culture and commitment from the employee from the onset of their employment. This study might contribute to social change by providing business leaders in academic nursing environments with valuable insights related to employee retention that can lead to enhanced sustainability, improved organizational growth, and increased profitability, which might promote prosperity for local families and the community

Success Factors for Power Project Development Businesses in Sub-Saharan Africa

Despite the financing gap in the sub-Saharan Africa power sector, private investors struggle to capitalize on the opportunity because of the high failure rate of power project development companies. Using the conceptual framework of the behavioral finance theory, this multiple case study was conducted to explore the strategies used by executives of 4 companies in sub-Saharan Africa who successfully developed power projects within the last 5 years. Data were collected from semistructured interviews and a review of government and institutions\u27 websites. Yin\u27s 5-phased cycle for analyzing case studies provided the guidelines for data analysis. Three themes emerged from data analysis: market knowledge, stakeholder alignment, and commercial viability. Findings revealed strategies that current and aspiring power project development company executives may use as a guide to mitigate business failure risks. Implications of these findings for positive social change include the potential to increase the power generation capacity in sub-Saharan Africa and provide electricity to many of the 620 million Africans who currently lack access. Implications also include poverty alleviation and economic growth through creation of successful power project development companies

Leadership Strategies for Improving Employee Engagement in the Information Technology Industry

Disengaged employees in the information technology industry lead to decreased productivity, increased absenteeism, poor job performance, higher employee turnover, and reduced organizational effectiveness. The purpose of this multiple case study was to explore the leadership strategies that information technology leaders used to improve employee engagement. The transformational leadership theory was the conceptual framework for this study. Data were collected through semistructured interviews with 3 leaders of information technology companies in Illinois and a review of company documents. Data were analyzed through thematic analysis and using Yin\u27s 5-step process of compiling, disassembling, reassembling, interpreting, and concluding data. The 3 emergent themes from data analysis were compensation and benefits strategy, performance management strategy, and recognition strategy. The findings of this research study indicated that compensation and benefits, performance management, and recognition were critical strategies information technology leaders used to improve employee engagement. The findings and recommendations resulting from this study might be valuable to information technology leaders, human resources managers, and hiring managers for developing leadership strategies to increase productivity, lower absenteeism, improve organizational performance, and reduce employee turnover through improved employee engagement. The implications for positive social change include the potential for information technology leaders to enhance local economic stability, lower local unemployment rates, and increase community volunteerism through improved employee engagement

Small Business Sustainability Strategies in the Tanzanian Construction Materials Industry

Small business owners in the construction materials industry play a significant role in economic development through gross domestic product and employment. However, like other small business owners, many owners of small businesses in the construction materials industry close their businesses within 5 years. The purpose of this multiple case study grounded in the resource-based theory was to explore the strategies that owners of small businesses in the construction materials industry operating in Tanzania used to sustain business for longer than 5 years. Data were collected using semistructured interviews with 4 purposefully selected owners of small businesses in the construction materials industry and a review of daily sales records, weekly sales reports, and audited accounts. Member checking and triangulation were used to strengthen the credibility and trustworthiness of the interpretation of data and information. Data analysis involved coding and thematic analysis. Themes were categorized into business establishment strategies, customer satisfaction and retention strategies, and other sustainability strategies. Findings from this study may contribute to social change by providing information on mechanisms for improving business performance; reducing the risk of failure; and creating sustainable, better-paying jobs that can increase the well-being of business owners, employees, their families, and communities