The role of the built environment on perceived safety from crime and walking: examining direct and indirect impacts

Hong, Jinhyun; Chen, Cynthia

doi:10.1007/s11116-014-9535-4

Cited by 59 publications

(23 citation statements)

References 26 publications

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“…Design is a component which is usually represented by street network connection, intersection density or block size. Hong et al [28] implemented a Bayesian model and found that the intersection density was negatively related (−0.24) with non-work related VMT at the significance level of 95%. This means that people living in areas with lower intersection density tend to drive more than others for non-work purpose.…”

Section: The Impacts Of Built Environment On Travel Behaviormentioning

confidence: 99%

Built Environment and Parking Availability: Impacts on Car Ownership and Use

2018

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Along with urbanization and economic development, the number of private cars has increased rapidly in recent years in China, which contributes to concerns about traffic congestion, hard parking, energy consumption, and emissions. This study aims to investigate the joint effect of built environment and parking availability on car ownership and use based on a household travel survey conducted in Changchun, China. The binary logistic model was first employed to investigate the determinants of the car ownership in Changchun. Next, this study examined the potential impacts of the built environment and parking availability on car use for the journey to work. The result shows that built environment and parking availability can be both significantly associated with car ownership and use after controlling for the socioeconomic characteristics. Moreover, in contrast with the model ignoring the parking availability, the model for car use considering the joint effect fit the data better. The results indicate that car dependency depends on the joint effect of the built environment and parking availability. These results suggest that transit-oriented urban expansion and compact land use can contribute to reducing car commuting. Meanwhile, parking restrictions at both trip start and end would be effective for sustainable transport because parking oversupply could encourage more car dependency.

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Section: The Impacts Of Built Environment On Travel Behaviormentioning

confidence: 99%

Built Environment and Parking Availability: Impacts on Car Ownership and Use

2018

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“…Second, few prior studies exploring the impacts of the built environment on car dependency take into account spatial autocorrelation, which might lead to misunderstanding the role the built environment plays. The spatial autocorrelation, which has been studied in spatial economics by several approaches and proven to create an effect on travel behavior [26][27][28], is still rarely considered in existing studies.…”

Section: Introductionmentioning

confidence: 99%

Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun

et al. 2018

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Concerns about transportation energy consumption and emissions force urban planners and policy makers to pay more attention to the effects of car ownership and use on the environment in China. However, few studies have investigated the relationship between the built environment and car ownership and use in China, especially in mid-sized and small cities. This study uses Changchun, China as a case study and examines the potential impacts of the built environment and socio-demographics on car ownership and use for commuting simultaneously using Bayesian multilevel binary logistic models. Furthermore, the spatial autocorrelation of car ownership and use is recognized across traffic analysis zones (TAZs), which are specifically represented by the conditional autoregressive (CAR) model. The estimated results indicate that socio-demographic characteristics have significant effects on car ownership and use. Moreover, the built environment measured at the TAZ level still shows a significant association with other factors controlled. Specifically, it suggests that denser residential density, compact land use, better transit services and street connectivity can reduce car dependency more effectively. This study provides new insights into how the built environment influences the car ownership and use, which can be useful for urban planners and policy makers to develop strategies for reducing car dependency.

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“…Residents in larger buildings were less likely to use the spaces outside their apartments and had less control over that space in general, thus increasing fear of crime as well as actual crime. Hong and Chen (2014) analyzed the relationship between perceived safety, walking, and the built environment in King County, Washington. They found that residents living in neighborhoods with better accessibility, street design, and sidewalks believed their neighborhoods were safer, whereas residents in high-density areas perceived their neighborhoods as less safe.…”

Section: Perceptions and Fear Of Crimementioning

confidence: 99%

A comprehensive review of quantitative research on crime, the built environment, land use, and physical geography

Inlow

2021

Sociology Compass

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This paper provides a comprehensive review of space-and place-based criminology, with a focus on the relationship between crime, the built environment, land use, and/or physical geography, through sociological and critical geography lenses. An historical overview of major criminological and spatial theories and contributors is presented before examining the current state of the field. In honor of critical geography's goal to be "a people's geography," 1 this paper aims to be an accessible overview of space-and placebased criminological research, especially for readers who are unfamiliar with these topics.

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The role of the built environment on perceived safety from crime and walking: examining direct and indirect impacts

Cited by 59 publications

References 26 publications

Built Environment and Parking Availability: Impacts on Car Ownership and Use

Built Environment and Parking Availability: Impacts on Car Ownership and Use

Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun

A comprehensive review of quantitative research on crime, the built environment, land use, and physical geography

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