Urban transit systems in most American cities…have become a genuine civil rights issue-and a valid one-because the layout of rapid-transit systems determines the accessibility of jobs to the Black community. If transportation systems in American cities could be laid out so as to provide an opportunity for poor people to get meaningful employment, then they could begin to move into the mainstream of American life. A good example of this problem is my home city of Atlanta, where the rapid-transit system has been laid out for the convenience of the white upper-middle-class suburbanites who commute to their jobs downtown. The system has virtually no consideration for connecting the poor people with their jobs. There is only one possible explanation for this situation, and that is the racist blindness of city planners. Martin Luther King, Jr. (1986, pp. 325-326) Much attention is being paid to the role of public transit in employment-related mobility for urban residents, yet there is very little evidence of the degree to which one affects the other. Little research has focused on how labor participation is affected by increases in urban workers' access to public transportation. Research on the spatial mismatch hypothesis has dealt with the relationship between labor participation and the spatial separation of workers' residences from suitable jobs; however, most analyses concentrate on commuting time or distance as a function of auto use. Few studies have considered the impacts of public transportation on labor participation. This article describes a study analyzing the locations and employment characteristics of workers with varying levels of access to public transit. Using census data and a variety of spatial measures generated by a geographic information system (GIS), a two-stage least squares regression was used to estimate the relationship of access to public transit with labor participation levels for Portland, Oregon, and Atlanta, Georgia. The results suggest that access to public transit is a significant factor in determining average rates of labor participation within these two cities.

While policy-makers assert that increased public transit mobility can positively affect employment status for low-income persons, there is little empirical evidence to support this theory. It is generally assumed that public transit can effectively link unemployed, car-less, persons with appropriate job locations—hence the call for more public transit services to assist moving welfare recipients to gainful employment. Thus far, the available evidence is anecdotal, while general patterns of transit access in relationship to labour participation remain relatively unexplored. This analysis examines whether increased transit access is associated with the case status (employment status) of Temporary Assistance for Needy Families (TANF) recipients in the Atlanta, Georgia; Baltimore, Maryland; Dallas, Texas; Denver, Colorado; Milwaukee, Wisconsin ; and Portland, Oregon metropolitan areas. Individual TANF recipient location data, transit route/stop data and employment location data were used in limited dependent variable regression analyses to predict the employment status of TANF recipients. The results of this analysis indicate that access to fixed-route transit and employment concentrations had virtually no association with the employment outcomes of TANF recipients in the six selected metropolitan areas.

Over the past several decades, urban planning has considered a variety of advanced analysis methods with greater and lesser degrees of adoption. Geographic Information Systems (GIS) is probably the most notable, with others such as database management systems (DBMS), decision support systems (DSS), planning support systems (PSS), and expert systems (ES), having mixed levels of recognition and acceptance (Kontokosta, C. E. (2021). Urban informatics in the science and practice of planning. Journal of Planning Education and Research, 41(4), 382–395. doi:10.1177/0739456X18793716; Yigitcanlar, T., Desouza, K. C., Butler, L., & Roozkhosh, F. (2020). Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature. Energies, 13(6), 1473). Advances in information technologies have moved very slowly in the field of urban planning, more recently concerning ‘smart city’ technologies while revolutionizing other domains, such as consumer goods and services. Baidu, Amazon, Netflix, Google, and many others are using these technologies to gain insights into consumer behaviour and characteristics and improve supply chains and logistics. This is an opportune time for urban planners to consider the application of AI-related techniques given vast increases in data availability, increased processing speeds, and increased popularity and development of planning related applications. Research on these topics by urban planning scholars has increased over the past few years, but there is little evidence to suggest that the results are making it into the hands of professional planners (Batty, M. (2018). Artificial intelligence and smart cities. Environment and Planning B: Urban Analytics and City Science, 45(1), 3–6; Batty, M. (2021). Planning education in the digital age. Environment and Planning B: Urban Analytics and City Science, 48(2), 207–211). Others encourage planners to leverage the ubiquity of data and advances in computing to enhance redistributive justice in information resources and procedural justice in decision-making among marginalized communities (Boeing, G., Besbris, M., Schachter, A., & Kuk, J. (2020). Housing search in the Age of Big data: Smarter cities or the same Old blind spots? Housing Policy Debate, 31(1), 112–126; Goodspeed, R. (2015). Smart cities: Moving beyond urban cybernetics to tackle wicked problems. Cambridge journal of regions, Economy and Society, 8(1), 79–92). This article highlights findings from a recent literature review on AI in planning and discusses the results of a national survey of urban planners about their perspectives on AI adoption and concerns they have expressed about its broader use in the profession. Currently, the outlook is mixed, matching how urban planners initially viewed the early stages of computer adoption within the profession. And yet today, personal computers are essential to any job.