https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

Breaking with the exoticizing cast of public discourse and conventional research, Urban Outcasts takes the reader inside the black ghetto of Chicago and the deindustrializing banlieue of Paris to discover that urban marginality is not everywhere the same. Drawing on a wealth of original field, survey and historical data, Loïc Wacquant shows that the involution of America's urban core after the 1960s is due not to the emergence of an 'underclass', but to the joint withdrawal of market and state fostered by public policies of racial separation and urban abandonment. In European cities, by contrast, the spread of districts of 'exclusion' does not herald the formation of ghettos. It stems from the decomposition of working-class territories under the press of mass unemployment, the casualization of work and the ethnic mixing of populations hitherto segregated, spawning urban formations akin to 'anti-ghettos'.

Urban Outcasts: A comparative sociology of advanced marginality

Information and Communication Technologies in Tourism

Edward W. Soja, Minneapolis, University of Minnesota Press, 2010, xviii+256 pp., indices, $24.95, ISBN 978-0-8166-6668-3 (paperback) The main argument of this book is that the spatial dimension has...

Seeking Spatial Justice

The analysis of urban sustainability is key to urban planning, and its usefulness extends to smart cities. Analyses of urban quality typically focus on applying methodologies that evaluate quality objectives at environmental, urban, and building levels. Research has shown that a system of indicators can be useful for developing qualitative and quantitative descriptors of urban environments. The first step in this study was to formulate a methodology to measure the quality of urban life based on investigative checklists and objective and subjective indicators, aggregated to develop an index to evaluate a city’s level of smart urban quality. The second step was to apply this methodology to evaluate the city of Cagliari (Italy) at the neighbourhood scale, which is considered by literature the most suitable as a self-sufficient spatial unit for showing redevelopment results. In addition to sharing its research findings, this study aims to verify whether the methodology can be applied to similar urban contexts. The main outcomes of this research pertain to opportunities to numerically measure both objective and subjective aspects that affect urban quality. In this way, the most critical areas to be requalified have been highlighted in order to prepare policies congruent with the local context.

Evaluating Urban Quality: Indicators and Assessment Tools for Smart Sustainable Cities

We present a methodology and a planning and design support software tool for evaluating walkability and pedestrian accessibility of places which are relevant for people’s capabilities, and thus an important component of quality of life in cities. A multicriteria evaluation model, at the core of the decision support system, is used to assign walkability scores to points in urban space. Walkability scores are obtained through algorithms which process spatial data and run the evaluation model in order to derive potential pedestrian routes along the street network, taking into account the quality of urban space on several attributes relevant for walkability. One of its notable characteristics is a certain reversal of perspective in evaluating walkability: the walkability score of a place does not reflect how that place is per se walkable, but instead how and where to can one walk from there, that is to say, what is the walkability the place is endowed with. This evaluation incorporates three intertwined elements: the number of destinations/opportunities reachable by foot, their walking distances, and the quality of the paths to these destinations. In this article, we furthermore demonstrate possible uses of the support system by reporting and discussing the results of a case-study assessment of a project for the Lisbon’s Segunda Circular Second Ring Road. The software tool is made freely available for download.

Evaluating walkability: a capability-wise planning and design support system

We present a survey of operational methods for walkability analysis and evaluation, which we hold show promise as decision-support tools for sustainability-oriented planning and urban design. An initial overview of the literature revealed a subdivision of walkability studies into three main lines of research: transport and land use, urban health, and livable cities. A further selection of articles from the Scopus and Web of Science databases focused on scientific papers that deal with walkability evaluation methods and their suitability as planning and decision-support tools. This led to the definition of a taxonomy to systematize and compare the methods with regard to factors of walkability, scale of analysis, attention on profiling, aggregation methods, spatialization and sources of data used for calibration and validation. The proposed systematization aspires to offer to non-specialist but competent urban analysts a guide and an orienteering, to help them integrate walkability analysis and evaluation into their research and practice.

https://www.mdpi.com/2071-1050/12/11/4405/pdf

Planning and Design Support Tools for Walkability: A Guide for Urban Analysts

The analysis of urban walkability has been extensively explored in the last decades. Despite this growing attention, there is a lack of studies attentive on how citizens' values, individual abilities and urban environment favour or hinder the propensity to walk. Hence, there is a need to explore how preferences and values of citizens vary in space in order to design walkability policies able to improve the capability set of citizens. In this perspective, the design of spatial decision tools aimed to plann public policies for the development of walkable cities needs further investigation. We propose a Multiple Criteria Decision Analysis (MCDA) method aimed to elaborate walkability decision maps for different groups of citizens that reflect their capability to walk in the urban environment. We tested the method in the city of Alghero (Italy). First, we analysed walkability under a normative model named CAWS; then we made a survey with 358 participants in order to study the driving values that influence their choice to walk and finalised to build an evaluation model attentive to individual differences. Cluster analysis was employed to group citizens into 11 groups based on their sociodemographic characteristics and preferences on spatial criteria of walkability. Finally, by integrating GIS with MCDA we built a set of decision maps representative of the walkability of the 11 groups of citizens. Results highlight the importance of citizens’ values for policy design, allow the interpersonal comparison among individuals and group preferences and give new suggestions for the formulation of walkability oriented urban policies. Moreover, the results confirm the usability of the general method as a decision support tool supporting the design of urban policies.

/pdf/mapping-walkability-a-subjective-value-theory-approach-jpfyljjhih.pdf

Mapping walkability. A subjective value theory approach

We present preliminary results of a pilot empirical study designed to examine factors associated with pedestrians’ perception of walkability, i.e. the perception of the quality, comfort and pleasantness of streets, and their conductivity to walk. Through a contingent field survey we collected 18 observable street attributes (independent variables), and a synthetic subjective perception of walkability (dependent variable), for the entire street network (408 street segments) of the city of Alghero in Italy. Regression analysis yields high goodness of fit (R-squared = 0.60 using all 18 variables), and points at 9 out of 18 as the most significant factors of perceived walkability (“useful sidewalk width”; “architectural, urban and environmental attractions”; “density of shops, bars, services, economic activities”; “vehicles-pedestrians separation”; “cyclability”; “opportunities to sit”; “shelters and shades”; “car roadway width”; “street lighting”; R-squared = 0.59). Among those, the first five factors in particular show as jointly most important as predictors of perceived walkability.

Factors of Perceived Walkability: A Pilot Empirical Study

We propose a decision-aiding evaluation procedure (i) for classifying road crossings based on their impact on walkability and, subsequently, (ii) for prioritising street improvements, in urban-rural fringe areas In the peripheral urban-rural fringes, pedestrian mobility is usually less developed and people generally depend more on cars for their everyday chores Partly this is inevitable given the structural features and supply of services and activities in such areas, but part is due to a frequent neglect of pedestrian mobility in planning and urban design Measures to improve this state of affairs can include the design of more pedestrian-friendly environments offering to potential users a greater level of security, comfort and convenience when walking to their designated destinations Our evaluation procedure combines a walkability assessment methodology with the ELECTRE TRI rating procedure, in order to assist planners and decision makers in designing physical streets to enhance the continuity, safety and quality of pedestrian paths Improving the walking accessibility in the fringe areas of towns is a way to reduce the physical and perceptual distance which separates these contexts from the rest of the city, thus leading to a progressive integration of urban functions

/pdf/walkability-and-street-intersections-in-rural-urban-fringes-461kpi9ccu.pdf

Giovanna Fancello

Papers

Evaluating walkability: a capability-wise planning and design support system

Planning and Design Support Tools for Walkability: A Guide for Urban Analysts

Mapping walkability. A subjective value theory approach

Factors of Perceived Walkability: A Pilot Empirical Study

Walkability and Street Intersections in Rural-Urban Fringes: A Decision Aiding Evaluation Procedure