Research has identified several factors that affect fear of crime in public space. However, the extent to which gender moderates the effectiveness of fear-reducing measures has received little attention. Using data from the Chicago Transit Authority Customer Satisfaction Survey of 2003, this study aims to understand whether train transit security practices and service attributes affect men and women differently. Findings indicate that, while the presence of video cameras has a lower effect on women’s feelings of safety compared with men, frequent and on-time service matters more to male passengers. Additionally, experience with safety-related problems affects women significantly more than men. Conclusions discuss the implications of the study for theory and gender-specific policies to improve perceptions of transit safety.

Customer loyalty is commonly used across sectors to measure a provider's effectiveness in satisfying the needs of its market. According to the most recent Chicago, Illinois, Transit Authority (CTA) customer satisfaction survey of 2008, customer loyalty with the CTA bus had increased significantly over time. This paper looks at the key factors (service characteristics, trip attributes, and individual characteristics) associated with customer loyalty in 2008. The analysis used two methods: a quadrant analysis to highlight aspects of service in most need of improvement and a multivariate regression that attempted to explain the variance in the dependent variable bus loyalty. This variable was measured as an index of three one-to-five scale variables: how satisfied the customer was, how likely he or she was to continue riding CTA, and how likely he or she was to recommend the service to someone else. Findings provided evidence of specific ways in which the agency could increase bus loyalty in a targeted and informed manner.

Purpose: Despite several big data maturity models developed for businesses, assessment of big data maturity in the public sector is an under-explored yet important area. Accordingly, the purpose of this study is to identify the big data maturity models developed specifically for the public sector and evaluate two major big data maturity models in that respect: one at the state level and the other at the organizational level. Design/methodology/approach: A literature search is conducted using Web of Science and Google Scholar to determine big data maturity models explicitly addressing big data adoption by governments, and then two major models are identified and compared: Klievink et al.’s Big Data maturity model and Kuraeva’s Big Data maturity model. Findings: While Klievink et al.’s model is designed to evaluate Big Data maturity at the organizational level, Kuraeva’s model is appropriate for assessments at the state level. The first model sheds light on the micro-level factors considering the specific data collection routines and requirements of the public organizations, whereas the second one provides a general framework in terms of the conditions necessary for government’s big data maturity such as legislative framework and national policy dimensions (strategic plans and actions). Originality/value: This study contributes to the literature by identifying and evaluating the models specifically designed to assess big data maturity in the public sector. Based on the review, it provides insights about the development of integrated models to evaluate big data maturity in the public sector.

This study overviews and appraises Turkey’s contemporary public administration system. Its prominent characterizing features are discussed, with an emphasis on both the achievements and problem areas. Turkey has a long history of strong traditional bureaucratic practices and culture, from which its contemporary public administration system has emerged since the Republic was established almost a century ago. Despite its many achievements, public administration has its problems, generally the product of conflicts between tradition and modernity. Due emphasis should, however, be given to addressing the challenges of its over-politicization, strengthening governance practices, enhancing the human factor, and instituting further modern administrative reforms.