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The purpose of this article is to examine selected public policy and funding issues of six New York Metropolitan Area sport venues and to discuss their implications for the future of sport venue construction.

The design of this paper is a descriptive case study, which is appropriate when the question to be answered is how or why, when there is no necessary control of behavioral events, and when the study is focused on contemporary events. A systematic review of public documents and available research related to the recent development and funding of selected sport venues was conducted. In addition, a critical appraisal and financial analysis was performed on selected data collected from a variety of proprietary facility reports and public documents.

Based on a systematic examination of public documents and available research it was determined that a complex mix of local, regional, and state politics has impacted significantly the dynamics of professional sport venue development in the New York Metropolitan Area. It is also apparent that there has been a significant lack of transparency with respect to public policy. In addition, it appears that sport venue development in the entire US will experience a trend toward integration with retail, commercial, and residential real estate development that appears to be a result of political pressure and the need to rapidly recoup investment costs associated with sport venue construction.

Because this is a descriptive case study, the findings, etc., are limited to those specific venues and public policy issues that were selected for examination.

This case study should provide educators and practitioners with insight into the complexity of mission critical decisions that are involved in the development and funding of sport venues. It also should provide insight into the political process related to sport venue construction and the importance of transparency in communicating with the public.

This case study may provide educators and practitioners with insight into the relationship among public policy, venue financing, and selected social issues.

This case study provides original insight into the key elements of funding sport venues in the New York Metropolitan Area. It will provide educators and practitioners with a frame of reference for further examination of the development of sport venues worldwide.

Spatial bibliometrics and scientometrics have traditionally focused on examining both country and regional levels; however, in recent years, numerous spatial analyses on the city level have been carried out. While city-level scientometric analyses have gained popularity among policymakers and statistical/economic research organizations, researchers in the field of bibliometrics are divided regarding whether it is possible to observe the spatial unit “city” through bibliometric and scientometric tools. The purpose of this paper is to reveal the most significant challenges ahead of spatial scientometrics focusing on the city level by examining relevant scientometric studies.

This analysis involves the most significant spatial scientometric studies focusing on the city level and carefully examines how they collect bibliometric and/or scientometric data, what methodologies they employ to process bibliometric data and most importantly, how they approach the spatial unit “city”.

After systematically scrutinizing relevant studies in the field, three major problems have been identified: there is no standardized method of how cities should be defined and how metropolitan areas should be delineated; there is no standardized method of how bibliometric and scientometric data on the city level should be collected and processed; and it is not clearly defined how cities can profit from the results of bibliometric and scientometric analysis focusing on them.

This is the first study that compiles a “database” of scientometric studies focusing on the city level. The paper not only reveals major challenges ahead of city level spatial analysis but recommends some possible solution as well.

Radio broadcasting is a fragmented industry — one in which many of the local stations are small, and stations have little chance to establish a dominant market share. Since there are many such fragmented manufacturing and service industries in the U. S., and competitive tactics to gain market share are not always successful in such industries, we'd like to offer a different strategy: cooperation. We'll illustrate how it's done, using a case history describing the cooperative effort of the New York Market Radio Broadcasters Association (NYMRAD) — the trade association of the New York Metropolitan Area radio stations. Its members worked together to increase the total market through development of unexploited niche groups of advertisers. In less than two years, this plan has added significantly to total New York radio station advertising revenues.

There is a dearth of basic analysis about how the demographics of residents living in the US Department of Housing and Urban Development (HUD) subsidized properties relate to the quality of housing. This research vacuum is often filled by popular stereotypes. This study aims to address this gap by examining the relationship between the demographics of residents and inspection scores.

Two data sources are drawn from the analysis: the 2018 HUD Picture of Subsidized Households database and HUD’s 2018 REAC Public and Multi-Family Housing Inspection Scores. Linear and logistic regression analysis were conducted, and selected data were mapped using GIS software.

The analysis examines the demographics of site-based subsidized properties in relation to inspection scores. In 2018, HUD identified 31,225 traditional public housing and other site-based multi-family properties in its Picture of Subsidized Households database. Residents living in these properties are often stereotyped as a homogeneous group that is predominantly composed of single, minority women with children who are welfare dependent. Similarly, properties are often portrayed as dilapidated, high-rise projects in segregated urban communities. The results from the analysis do not support these stereotypes about HUD-subsidized multi-family properties. By contrast, the results indicate that a diverse group of households lives in HUD-subsidized multi-family properties.

There is a need for scholars, advocates and practitioners to more aggressively challenge the popular stereotypes about site-based subsidized housing. In particular, there is a need for enhanced public scholarship focused on the dissemination of evidence-based research.

The purpose of this paper is to look at various dimensions of entrepreneurship and the empirical models that try to explain the relationship between entrepreneurship and growth in cities for both developed (USA and Europe) and developing countries.

This paper provides an in‐depth and extensive review of the existing literature on entrepreneurship and economic growth in cities. In most empirical studies, the growth rate of employment or unemployment rate is used as the dependent variable to analyze the effect of entrepreneurship on development. The important independent variables other than entrepreneurship (new start‐ups) are localization, urbanization, level of education, age, industry structure (specialization vs competition), monopoly or competition. The economic units considered for cities are labor market areas (LMAs), standard metropolitan areas (SMAs) and consolidated metropolitan statistical areas (CMSAs). The majority of studies have utilized discrete dependent variable models such as Tobit or Probit to calculate the probability of the effect of entrepreneurship on economic growth. Other studies have applied ordinary least squares estimation to find the cross‐sectional variation of employment growth that accounts for entrepreneurial activities. Panel data are employed in a number of models to control for region‐specific and country‐specific fixed effects.

In this paper, four important dimensions of entrepreneurship are identified. First, for entrepreneurial studies on economic growth, cities are considered to be appropriate economic units rather than states or countries. Second, there are several definitions and measurements of entrepreneurship available in the literature. Hence, empirical models and their results may vary depending on the model specification. Third, the relationship between employment growth (a proxy for economic growth) and innovative activity is dynamic in nature and thus the problem of endogeneity needs to be addressed. And, finally, entrepreneurship has a spatial dimension and that characteristic must be incorporated into the urban and regional models of entrepreneurship. Three different types of urban models are chosen to reflect these four central dimensions of entrepreneurship. All three urban models confirm the hypothesis that there exists a statistically significant and positive relationship between entrepreneurship and growth in cities. However, the causality of the relationship is not well established.

A critical and in‐depth summary of existing quantitative work on entrepreneurship and economic growth in different cities is the original contribution of the paper.

The City University of New York (CUNY) is a large educational system comprised of various colleges and universities in the New York metropolitan area. It serves the educational needs of the majority of its academic population. Its library system also boasts of a large collection of multi‐format materials and resources. These are currently reflected in its wide‐area‐networked database called CUNY Plus+. This is accessible by staff, faculty and students all over the CUNY school system, as well as through the Internet. This study focuses on the usability evaluation of this CUNY Plus+. A sample of students was surveyed and interviewed using the Software Usability Measurement Inventory (SUMI) criteria. Results of the study may be helpful in providing faculty and librarians feedback from students’ use of the database. It may likewise be insightful to system designers in future design updates.

Describes how a consortium, consisting of City University of New York Office Library Services, METRO, the New York Academy of Medicine and New York Public Library received a TIIAP grant from the US Department of Commerce in October 1991, to demonstrate the power of the National Information Infrastructure to bring consumer health information to the broadest possible public. The partners demonstrated that libraries have a significant role to play in the implementation of Internet‐based services through their traditional roles of collecting, organizing and making accessible information of all types to the public at large. The site they created, NOAH (New York Online Access to Health) is user‐friendly and consistently organized and bi‐lingual (English/Spanish) which gives access to carefully selected authentic health information. The partners found that the cost of creating and maintaining an information‐rich Web site is not trivial.

Urban areas are responsible for significant amounts of greenhouse gas (GHG) emissions, but cities can have quite different values of carbon footprints. The purpose of this paper is to identify the determinants of urban GHG emissions in order to explain these differences.

Seven global cities – Bangkok, Chicago, London, Madrid, Mexico City, Milan and New York City – have been included in the paper's sample. These cases have been chosen in order to represent a variety of characteristics and contexts of developed and developing countries and according to data availability. A first level of analysis regards local GHG emission inventories, which attribute emissions to activity sectors. Sectorial emissions are then evaluated to quantify the relevance of several determinants: climate conditions, urban form, economic activities in place, state of technology, mobility and housing infrastructures and costs, and income and life style.

Determinants show different weights in influencing behaviours at city level, and ultimately depend on economic, technical, social and cultural factors. Beside a significant role of climate conditions, urban density appears as the main determinant in shaping residential emissions from direct fuel consumption, whereas, for electricity, consumption patterns and technological features of power generation play a major role. For ground transport, urban form affecting mobility patterns and technological features of the vehicle stock stand out as the most significant determinants.

The paper provides a deep insight into urban GHG emission values, making use of a comprehensive set of urban data and highlighting several areas which could possibly be targeted in cities' GHG reduction policies. An enhanced and widened set of data could improve the paper's results in a significant way.

Scandia, Inc., is a commercial vessel management company located in the New York Metropolitan area and is part of a family of firms including Scandia Technical; International Tankers, Ltd.; Global Tankers, Ltd.; Sun Maritime S.A.;Adger Tankers AS; Leeward Tankers, Inc.; Manhattan Tankers, Ltd.; and Liuʼs Tankers, S.A. The companyʼs current market niche is the commercial management of chemical tankers serving the transatlantic market with a focus on the east and gulf coast of the United States and Northern Europe. This three-part case describes the commercial shipping industry as well as several mishaps that the company and its President, Chris Haas, have had to deal with including withdrawal of financial support by creditors, intercorporate firm conflict, and employee retention. Part A, which was published in the Fall 2010 issue, presented an overview of the commercial vessel industry and set the stage for Parts B and C where the firm℉s operation is discussed.

This study aims to investigate the impact of Hurricane Sandy from the perspective of interdependence among different sectors of critical infrastructure in New York City and to assess the interconnected nature of risks posed by such a hurricane.

This study uses indirect damages of each sector to estimate the degree of functional interdependence among the sectors. The study examines the impact of the hurricane on different critical infrastructures by combining hazard maps of actual inundation areas with maps of critical infrastructure. The direct damages of each sector are calculated from the inundation areas in the flood map. The indirect damages are estimated by considering the areas that were not inundated but affected by Sandy through the interconnected infrastructure.

The electricity sector was the key sector to propagate risks to other sectors. The examination of new initiatives to increase the resilience of critical infrastructures in New York City after Sandy reveals that these initiatives focus primarily on building hard infrastructures to decrease direct damages. They understate the importance of interdependent risk across sectors. Future disaster risk reduction strategies must address interdependent infrastructures to reduce indirect damages.

This paper focuses on estimating the direct and indirect damages caused by Hurricane Sandy in each critical infrastructure sector, using GIS mapping techniques. It also introduces a Bayesian network as a tool to analyze critical infrastructure interdependence.