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Safety and security are essential components of urban public space management, particularly since September 11, 2001. Although security is necessary for creating spaces the public will use, making it a top priority is often criticized for restricting social interaction, constraining individual liberties, and unjustly excluding certain populations. This study examines legal, design, and policy tools used to exert social and behavioral control in publicly accessible urban spaces. Based on a review of the relevant literature and extensive site visits to spaces in New York City, we create an index that uses 20 separate indicators in four broad categories to quantify the degree to which the use of a space is controlled. Since comparable instruments do not exist, we propose our index be used to evaluate publicly accessible spaces. We suggest several potential applications useful in planning practice and for testing theories about public space.

Soundscape is about relationships between the ear, human beings, sound environments, and society. Soundscape research is interdisciplinary. On the basis of a series of case studies in Europe and China and an intensive literature review, the soundscape description, evaluation, and creation in urban open spaces are systematically examined, in terms of four basic elements: sound, space, people, and environment. Factors affecting soundscape evaluation in urban open spaces, including acoustic - psychological - social characteristics of various sounds, acoustic effects of space boundaries and elements, social - demographic characteristics of users, and general physical - environmental conditions, are identified, and, consequently, a system for soundscape description is established. Potentials of creating and designing soundscape in urban spaces are then discussed in terms of sound and space.

The collection of large-scale administrative records in electronic form by many cities provides a new opportunity for the measurement and longitudinal tracking of neighborhood characteristics, but one that will require novel methodologies that convert such data into research-relevant measures. The authors illustrate these challenges by developing measures of “broken windows” from Boston’s constituent relationship management (CRM) system (aka 311 hotline). A 16-month archive of the CRM database contains more than 300,000 address-based requests for city services, many of which reference physical incivilities (e.g., graffiti removal). The authors carry out three ecometric analyses, each building on the previous one. Analysis 1 examines the content of the measure, identifying 28 items that constitute two independent constructs, private neglect and public denigration. Analysis 2 assesses the validity of the measure by using investigator-initiated neighborhood audits to examine the “civic response rate” across neighborhoods. Indicators of civic response were then extracted from the CRM database so that measurement adjustments could be automated. These adjustments were calibrated against measures of litter from the objective audits. Analysis 3 examines the reliability of the composite measure of physical disorder at different spatiotemporal windows, finding that census tracts can be measured at two-month intervals and census block groups at six-month intervals. The final measures are highly detailed, can be tracked longitudinally, and are virtually costless. This framework thus provides an example of how new forms of large-scale administrative data can yield ecometric measurement for urban science while illustrating the methodological challenges that must be addressed.

This paper considers the quantitative assessment of ecological settings such as neighborhoods and schools. Available administrative data typically provide useful but limited information on such settings. We demonstrate how more complete information can be reliably obtained from surveys and observational studies. Survey-based assessments are constructed by aggregating over multiple item responses of multiple informants within each setting. Item and rater inconsistency produce uncertainty about the setting being assessed, with definite implications for research design. Observation-based assessments also have a multilevel error structure. The paper describes measures constructed from interviews, direct observations, and videotapes of Chicago neighborhoods and illustrates an “ecometric” analysis—a study of bias and random error in neighborhood assessments. Using the observation data as an illustrative example, we present a three-level hierarchical statistical model that identifies sources of error in aggregating across items within face-blocks and in aggregating across face-blocks to larger geographic units such as census tracts. Convergent and divergent validity are evaluated by studying associations between the observational measures and theoretically related measures obtained from the U.S. Census, and a citywide survey of neighborhood residents.