Job Access and Employment among Low-Skilled Autoless Workers in US Metropolitan Areas

2003 ◽  
Vol 35 (9) ◽  
pp. 1651-1668 ◽  
Author(s):  
Mizuki Kawabata

Focusing on low-skilled workers, I present an empirical analysis of the relationship between transit-based job accessibility and employment outcomes for workers without automobiles. The metropolitan areas examined are Boston, San Francisco, and Los Angeles. Two essential components of the analysis are the calculation of refined job-access measures that take into account travel modes as well as the supply and demand of the labor market, and the incorporation of job-access measures into multinomial logit models. The results indicate that improved transit-based job accessibility significantly augments both the probability of being employed and the probability of working 30 hours or more per week for autoless workers in San Francisco and Los Angeles. Further, in these two areas, job accessibility has a greater effect for autoless workers than for auto-owning workers. Job accessibility plays a more significant role in employment outcomes for autoless workers in San Francisco and Los Angeles, highly auto-dependent areas, than it does in Boston, a more compact area with relatively well-developed transit systems. The empirical findings hold important implications for the theory and policy debate surrounding spatial mismatch.


2019 ◽  
Author(s):  
Nadia N Abuelezam ◽  
Yakir A Reshef ◽  
David Novak ◽  
Yonatan Hagai Grad ◽  
George R Seage III ◽  
...  

BACKGROUND The structure of the sexual networks and partnership characteristics of young black men who have sex with men (MSM) may be contributing to their high risk of contracting HIV in the United States. Assortative mixing, which refers to the tendency of individuals to have partners from one’s own group, has been proposed as a potential explanation for disparities. OBJECTIVE The objective of this study was to identify the age- and race-related search patterns of users of a diverse geosocial networking mobile app in seven metropolitan areas in the United States to understand the disparities in sexually transmitted infection and HIV risk in MSM communities. METHODS Data were collected on user behavior between November 2015 and May 2016. Data pertaining to behavior on the app were collected for men who had searched for partners with at least one search parameter narrowed from defaults or used the app to send at least one private chat message and used the app at least once during the study period. Newman assortativity coefficient (R) was calculated from the study data to understand assortativity patterns of men by race. Pearson correlation coefficient was used to assess assortativity patterns by age. Heat maps were used to visualize the relationship between searcher’s and candidate’s characteristics by age band, race, or age band and race. RESULTS From November 2015 through May 2016, there were 2,989,737 searches in all seven metropolitan areas among 122,417 searchers. Assortativity by age was important for looking at the profiles of candidates with correlation coefficients ranging from 0.284 (Birmingham) to 0.523 (San Francisco). Men tended to look at the profiles of candidates that matched their race in a highly assortative manner with R ranging from 0.310 (Birmingham) to 0.566 (Los Angeles). For the initiation of chats, race appeared to be slightly assortative for some groups with R ranging from 0.023 (Birmingham) to 0.305 (Los Angeles). Asian searchers were most assortative in initiating chats with Asian candidates in Boston, Los Angeles, New York, and San Francisco. In Birmingham and Tampa, searchers from all races tended to initiate chats with black candidates. CONCLUSIONS Our results indicate that the age preferences of MSM are relatively consistent across cities, that is, younger MSM are more likely to be chatted with and have their profiles viewed compared with older MSM, but the patterns of racial mixing are more variable. Although some generalizations can be made regarding Web-based behaviors across all cities, city-specific usage patterns and trends should be analyzed to create targeted and localized interventions that may make the most difference in the lives of MSM in these areas.



2019 ◽  
Vol 12 (6) ◽  
pp. 1113-1126 ◽  
Author(s):  
Nicholas Apergis ◽  
James E. Payne

PurposeThe purpose of the study is to examine the long-run convergence properties of condominium prices based on the ripple effect for five major US metropolitan areas (Boston, Chicago, Los Angeles, New York and San Francisco). Specifically, we test for both overall convergence in condominium prices and the possibility of distinct convergence clubs to ascertain the interdependence of geographically dispersed metropolitan condominium markets.Design/methodology/approachOur analysis uses two approaches to identify the convergence properties of condominium prices: the Lee and Strazicich (2003) unit root test with endogenous structural breaks and the Phillips and Sul (2007, 2009) time-varying nonlinear club convergence tests.FindingsThe Lee and Strazicich (2003) unit root tests identify two structural breaks in 2006 and 2008 with the rejection of the null hypothesis of a unit root and long-run convergence in condominium prices in the cases of Boston and New York. The Phillips and Sul (2007, 2009) club convergence test reveals the absence of overall convergence in condominium prices across all metropolitan areas, but the emergence of two distinct convergence clubs with clear geographical segmentation: on the east coast with Boston and New York and the west coast with Los Angeles and San Francisco while Chicago exhibits a non-converging path.Research limitations/implicationsThe results highlight the distinct geographical segmentation of metropolitan condominium markets, which provides useful information to local policymakers, financial institutions, real estate developers and real estate portfolio managers. The limitations of the research are the identification of the underlying sources for the convergence clubs identified due to the availability of monthly data for a number of potential variables.Practical implicationsThe absence of overall convergence in condominium prices, but the emergence of distinct convergence clubs that reflects the geographical segmentation of metropolitan condominium markets raises the potential for portfolio diversification.Originality/valueUnlike previous studies that have focused on single-family housing, this is the first study to examine the convergence of metropolitan area condominium prices.



2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Achintya Ray

The article deals with racial disparities in the distribution of pre-tax wages and salaries for employed individuals in the USA between the ages of 18-65. This study is done for the ten largest metropolitan areas of the USA using the 2019 American Community Survey data. The metropolitan areas included in the study are Atlanta-Sandy Springs-Roswell, Chicago-Naperville-Elgin, Dallas-Fort Worth-Arlington, Houston-The Woodlands-Sugar Land, Los Angeles-Long Beach-Anaheim, Miami-Fort Lauderdale-West Palm Beach, New York-Newark-Jersey City, Philadelphia-Camden-Wilmington, San Francisco-Oakland-Hayward, and Washington-Arlington-Alexandria. Employing well over a quarter of the total employed labour force in the USA, these ten metropolitan areas are also some of the largest industrial worlds. Average pre-tax wages and salaries, the standard deviation of the mean and Gini coefficient by major racial categories are presented for each of these ten metropolitan areas. For each metropolitan area, black employed individuals earned less in pre-tax wages and salaries than white employed individuals. The Gini coefficient of black pre-tax wages and wages is also found to be smaller for each of the metropolitan areas compared to the white counterparts. It suggests a much tighter distribution in pre-tax wages and salaries for blacks compared to whites. Furthermore, employed workers from other races earned less in pre-tax wages and salaries than their white counterparts for each major metro. Except for Los Angeles-Long Beach-Anaheim metropolitan area, black employed workers also earned less pre-tax wages and salaries than members of the other races. The Gini coefficients of pre-tax wages and salaries for various metropolitan areas for different races are found to be broadly comparable and often larger than that of the whites. Together, these results point to the fact that the pre-tax wages and salaries of black workers are lower compared to both whites and other races and more tightly distributed. Lastly, the relative inequality between whites and blacks and others and blacks often point to the relatively broader dispersion in the later group compared to the former.



2021 ◽  
Vol 5 (2) ◽  
pp. 59-65
Author(s):  
Achintya Ray

The distribution of pre-tax wages and salaries for employed individuals between the ages of 18-65 in the ten largest metropolitan areas of the USA are studied in this paper using the American Community Survey data from 2019. The included metropolitan areas are Atlanta-Sandy Springs-Roswell, Chicago–Naperville-Elgin, Dallas-Fort Worth-Arlington, Houston-The Woodlands-Sugar Land, Los Angeles-Long Beach-Anaheim, Miami-Fort Lauderdale-West Palm Beach, New York-Newark-Jersey City, Philadelphia-Camden-Wilmington, San Francisco-Oakland-Hayward, and Washington-Arlington-Alexandria. These ten metropolitan areas employed over 39 million individuals representing well over a quarter of the total employed labour force in the USA. Mean, median, standard error of the mean, 25th percentile, 50th percentile, and the Gini coefficient of pre-tax wages and salaries are presented for each metropolitan area. The metros differ significantly in terms of average pre-tax wages and salaries. They differ significantly in terms of the spread in the distribution of pre-tax wages and salaries measured both in terms of the inter-quartile range (the difference between 75th and 25th percentiles) and the Gini coefficient. San Francisco-Oakland-Hayward is found to have both the highest average pre-tax wages and salaries and widest inequality as measured by the Gini coefficient. The Smallest Gini coefficient is observed in Washington-Arlington-Alexandria metropolitan area. Inequality measured in terms of the Gini coefficient is nearly 15% higher in San Francisco-Oakland-Hayward as compared to Washington-Arlington-Alexandria. The average pre-tax wages and salaries are about 83% higher in San Francisco-Oakland-Hayward than Miami-Fort Lauderdale-West Palm Beach, the lowest in the nation. While aggregate nationwide inequalities attract intense attention, these regional variations point to significant and wide-ranging variations between different regions (metropolitan cities). By focusing on the pre-tax wages and salaries, this study allows us to tie inequalities that are most closely related to the labour market conditions, unlike other sources of income like capital gains, inheritance, government transfers, etc.



Author(s):  
Marlon G. Boarnet ◽  
Raphael W. Bostic ◽  
Andrew Eisenlohr ◽  
Seva Rodnyansky ◽  
Raúl Santiago-Bartolomei ◽  
...  

This paper examines the relationship between income, vehicle miles traveled (VMT), and greenhouse gas (GHG) emissions for households with varying access to rail transit in four metropolitan areas—Los Angeles, the San Francisco Bay Area, San Diego, and Sacramento—using data from the 2010–2012 California Household Travel Survey. Daily vehicle GHG emissions are calculated using the California Air Resources Board’s 2014 EMFAC (emission factors) model. Two Tobit regression models are used to predict daily VMT and GHG by income, rail transit access (within or outside 0.5 miles of a rail transit station in Los Angeles and the Bay Area, and linear distance to rail in San Diego and Sacramento), and metropolitan area. Comparing predicted VMT and GHG emissions levels, this paper concludes that predicted VMT and GHG emission patterns for rail access vary across metropolitan areas in ways that may be related to the age and connectivity of the areas’ rail systems. The results also show that differences in household VMT due to rail access do not scale proportionally to differences in GHG emissions. Regardless, the fact that GHG emissions are lower near rail transit for virtually all income levels in this study implies environmental benefits from expanding rail transit systems, as defined in this paper.



10.2196/13766 ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. e13766 ◽  
Author(s):  
Nadia N Abuelezam ◽  
Yakir A Reshef ◽  
David Novak ◽  
Yonatan Hagai Grad ◽  
George R Seage III ◽  
...  

Background The structure of the sexual networks and partnership characteristics of young black men who have sex with men (MSM) may be contributing to their high risk of contracting HIV in the United States. Assortative mixing, which refers to the tendency of individuals to have partners from one’s own group, has been proposed as a potential explanation for disparities. Objective The objective of this study was to identify the age- and race-related search patterns of users of a diverse geosocial networking mobile app in seven metropolitan areas in the United States to understand the disparities in sexually transmitted infection and HIV risk in MSM communities. Methods Data were collected on user behavior between November 2015 and May 2016. Data pertaining to behavior on the app were collected for men who had searched for partners with at least one search parameter narrowed from defaults or used the app to send at least one private chat message and used the app at least once during the study period. Newman assortativity coefficient (R) was calculated from the study data to understand assortativity patterns of men by race. Pearson correlation coefficient was used to assess assortativity patterns by age. Heat maps were used to visualize the relationship between searcher’s and candidate’s characteristics by age band, race, or age band and race. Results From November 2015 through May 2016, there were 2,989,737 searches in all seven metropolitan areas among 122,417 searchers. Assortativity by age was important for looking at the profiles of candidates with correlation coefficients ranging from 0.284 (Birmingham) to 0.523 (San Francisco). Men tended to look at the profiles of candidates that matched their race in a highly assortative manner with R ranging from 0.310 (Birmingham) to 0.566 (Los Angeles). For the initiation of chats, race appeared to be slightly assortative for some groups with R ranging from 0.023 (Birmingham) to 0.305 (Los Angeles). Asian searchers were most assortative in initiating chats with Asian candidates in Boston, Los Angeles, New York, and San Francisco. In Birmingham and Tampa, searchers from all races tended to initiate chats with black candidates. Conclusions Our results indicate that the age preferences of MSM are relatively consistent across cities, that is, younger MSM are more likely to be chatted with and have their profiles viewed compared with older MSM, but the patterns of racial mixing are more variable. Although some generalizations can be made regarding Web-based behaviors across all cities, city-specific usage patterns and trends should be analyzed to create targeted and localized interventions that may make the most difference in the lives of MSM in these areas.



2020 ◽  
Vol 20 (2) ◽  
pp. 45-54
Author(s):  
Samuel H. Yamashita

In the 1970s, Japanese cooks began to appear in the kitchens of nouvelle cuisine chefs in France for further training, with scores more arriving in the next decades. Paul Bocuse, Alain Chapel, Joël Robuchon, and other leading French chefs started visiting Japan to teach, cook, and sample Japanese cuisine, and ten of them eventually opened restaurants there. In the 1980s and 1990s, these chefs' frequent visits to Japan and the steady flow of Japanese stagiaires to French restaurants in Europe and the United States encouraged a series of changes that I am calling the “Japanese turn,” which found chefs at fine-dining establishments in Los Angeles, New York City, and later the San Francisco Bay Area using an ever-widening array of Japanese ingredients, employing Japanese culinary techniques, and adding Japanese dishes to their menus. By the second decade of the twenty-first century, the wide acceptance of not only Japanese ingredients and techniques but also concepts like umami (savory tastiness) and shun (seasonality) suggest that Japanese cuisine is now well known to many American chefs.



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