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      Planning instruments enhance the acceptance of urban densification

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          Significance

          This study identifies how densification projects and accompanying planning instruments can increase the democratic acceptance of urban densification projects by combining a conjoint experiment of densification project characteristics with different proximity frames. Our study advances the urban densification debate by integrating various tangible measures that can influence the acceptance of densification projects in a comparative perspective. Results indicate decreasing levels of acceptance with closer proximity to respondents’ homes. Project-related factors and planning instruments enhance people’s acceptance by mitigating some of the commonly perceived adverse effects of densification. Thus, planners have options to implement locally accepted housing densification projects, which can enhance the democratic legitimacy of urban planning endeavors for sustainably addressing the global housing crisis.

          Abstract

          Dense and compact cities yield several benefits for both the population and the environment, including the containment of urban sprawl, reduced carbon emissions, and increased housing supply. Densification of the built environment is thus a key contemporary urban planning paradigm worldwide. However, local residents often oppose urban densification, motivating a need to understand their underlying concerns. In order to do so, we examined different factors driving public acceptance of housing densification projects through a combination of a conjoint survey experiment and different proximity frames among 12,402 participants across Berlin, Chicago, London, Los Angeles, New York, and Paris. Respondents compared housing densification projects with varying attributes, including their geographic proximity, project-related factors, and accompanying planning instruments. The results indicate that the acceptance of such projects decreases with project proximity and that project-related factors, such as the type of investor, usage, and climate goals, impact densification project acceptance. More specifically, we see a negative effect on acceptance levels for projects with for-profit investors and a positive effect when the suggested developments are mixed use or climate neutral. In addition, planning instruments, such as rent control, inclusionary zoning, and participatory planning, appear to positively influence acceptance. Interestingly, a cross-continental comparison shows overall higher acceptance levels of densification by US respondents. These multifaceted results allow us to better understand what drives people's acceptance of housing projects and how projects and planning processes can be designed to increase democratic acceptance of urban densification.

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          Most cited references47

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          Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments

          Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are influential. Here, we show howconjoint analysis, an experimental design yet to be widely applied in political science, enables researchers to estimate the causal effects of multiple treatment components and assess several causal hypotheses simultaneously. In conjoint analysis, respondents score a set of alternatives, where each has randomly varied attributes. Here, we undertake a formal identification analysis to integrate conjoint analysis with the potential outcomes framework for causal inference. We propose a new causal estimand and show that it can be nonparametrically identified and easily estimated from conjoint data using a fully randomized design. The analysis enables us to propose diagnostic checks for the identification assumptions. We then demonstrate the value of these techniques through empirical applications to voter decision making and attitudes toward immigrants.
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            Personal and social factors that influence pro-environmental concern and behaviour: a review.

            We review the personal and social influences on pro-environmental concern and behaviour, with an emphasis on recent research. The number of these influences suggests that understanding pro-environmental concern and behaviour is far more complex than previously thought. The influences are grouped into 18 personal and social factors. The personal factors include childhood experience, knowledge and education, personality and self-construal, sense of control, values, political and world views, goals, felt responsibility, cognitive biases, place attachment, age, gender and chosen activities. The social factors include religion, urban-rural differences, norms, social class, proximity to problematic environmental sites and cultural and ethnic variations We also recognize that pro-environmental behaviour often is undertaken based on none of the above influences, but because individuals have non-environmental goals such as to save money or to improve their health. Finally, environmental outcomes that are a result of these influences undoubtedly are determined by combinations of the 18 categories. Therefore, a primary goal of researchers now should be to learn more about how these many influences moderate and mediate one another to determine pro-environmental behaviour.
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              Rethinking NIMBYism: The role of place attachment and place identity in explaining place-protective action

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                12 September 2022
                20 September 2022
                12 September 2022
                : 119
                : 38
                : e2201780119
                Affiliations
                [1] aETH Zürich, Spatial Development and Urban Policy – SPUR, Institute for Spatial and Landscape Development , Zürich 8093, Switzerland
                Author notes
                1To whom correspondence may be addressed. Email: wimi@ 123456ethz.ch .

                Edited by Douglas Massey, Princeton University, Princeton, NJ; received January 31, 2022; accepted August 9, 2022

                Author contributions: M.W., K.H., and D.K. designed research; M.W. performed research; M.W. contributed new reagents/analytic tools; M.W. analyzed data; and M.W., K.H., and D.K. wrote the paper.

                Author information
                https://orcid.org/0000-0001-8972-8468
                https://orcid.org/0000-0002-2182-9059
                https://orcid.org/0000-0002-4185-4550
                Article
                202201780
                10.1073/pnas.2201780119
                9499520
                36095198
                288b03fa-f4d4-49ec-995a-a9a5d24cd254
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 09 August 2022
                Page count
                Pages: 10
                Categories
                429
                Social Sciences
                Political Sciences

                urban politics,urban densification,survey experiment,conjoint,public opinion

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