What are the primary factors that influence public perception towards no parking policies in urban areas?
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Public perception towards no parking policies in urban areas is influenced by various factors. Acceptance of such policies is driven by tangible benefits for residents, effectiveness, daily travel practices, intentions to reduce car use, built environment, and socio-demographics . Factors such as age, smoking behavior, years of work, and the use of personal protective equipment play a role in shaping perceptions towards parking-related respiratory issues . Additionally, beliefs, emotions, socio-demographic characteristics, and policy-specific factors significantly impact public acceptance of interventions like superblocks aimed at reducing air pollution . Expert consensus on parking-related issues, including pricing, availability, impact on traffic, and future development, also influences public perception of parking policies in urban areas . Conflicts arising from on-street parking affecting pedestrians and cyclists can further shape public perception and support for no parking policies in urban neighborhoods .
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17 Nov 2022 | Factors influencing public perception towards no parking policies in urban areas include age, gender, proximity to superblocks, car ownership, ideological stance, policy beliefs, emotions, process legitimacy, and institutional trust. |
| Factors influencing public perception towards no parking policies in urban areas include transportation choices, intention to reduce car use, age, household structure, and group-serving bias. | |
| Primary factors influencing public perception towards no parking policies in urban areas include parking pricing, availability of parking spaces, impact on urban traffic, revenue collection, user group prioritization, and future facility development. | |
| Primary factors influencing public perception towards no parking policies in urban areas include perceived effectiveness, fairness, personal outcome expectations, daily travel practices, intentions to reduce car use, built environment, and socio-demographics. | |
| Not addressed in the paper. |
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