The planned and the perceived city: A comparison of cyclists' and decision-makers' views on cycling quality

Marquart, Heike; Schlink, Uwe; Ueberham, Maximilian

doi:10.1016/j.jtrangeo.2019.102602

Cited by 34 publications

(20 citation statements)

References 55 publications

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“…Therefore, in climate change mitigation, it is more beneficial to change residents' behavior patterns through urban planning tools. In some developed countries, perceived safety and aesthetic characteristics often promote walking and cycling [30,50], so improving residents' perceptions of safety and aesthetics can promote low-carbon travel. In developing countries such as China, a good service facilities perception may be more important for promoting low-carbon commuting mode choice and reducing related CO 2 emissions.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Research on the perceived built environment has been more focused on its association with physical activity (PA) [44][45][46][47]. Other studies have focused on the relationship between perceived environment and active travel, but most of these studies only focused on the relationship between perceived environment and children or adolescents' active commuting to school [48,49] and adults' active travel [31,32,50], and seldom on the impact of the perceived built environment on commuting behavior and related CO 2 emissions of urban full-time employees. Recent studies have found that perceived high land use diversity, the existence of alternative routes, perceived cycling infrastructure, aesthetic characteristics and green space can promote pedestrian traffic and bicycle traffic [31,50].…”

Section: Introductionmentioning

confidence: 99%

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How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China

Chen

Zhou

Huang

2022

IJERPH

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Exploring the impacts of perceived neighborhood environment on commuting behavior and travel-related CO2 emissions helps policymakers formulate regional low-carbon transport policies. Most studies have examined the impact of the objective measures of built environment on travel behavior and related CO2 emissions, and few studies have focused on perceived neighborhood environment. This study develops a structural equation model and uses data from a self-administered survey of urban full-time employees in Nanjing, China to examine the direct and indirect effects of perceived neighborhood environment on commuting mode choice and commuting CO2 emissions. The study shows that perceived service facilities has a significant direct effect on commuting mode and a significant indirect effect on commuting CO2 through the mediating effect of commuting mode choice. While socio-demographic variables such as gender have a significant direct impact on commuting mode and commuting CO2 emissions, they have an indirect impact on commuting mode and commuting CO2 emissions through the intermediate variables (such as car ownership, perceived neighborhood environment and commuting distance). The conclusions of this study show that the potential of commuting CO2 emissions reduction in China is enormous, and that policy interventions on commuting would help developing countries such as China achieve the goals of low-carbon transport and sustainable development.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China

Chen

Zhou

Huang

2022

IJERPH

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“…'Sketch mapping', for example, is a more accessible method, used to balance the freedom of indication whilst maintaining spatial context through the provision of a paper base map or satellite image (Boschmann and Cubbon 2014). Sketch maps have been used to collect experiential and locational data across a broad range of research areas, such as cycling safety; where children take part in physical activity, and the delineation of neighbourhood boundaries (Marquart et al 2020;Wridt 2010;and Curtis et al 2014, respectively). For these purposes, data are often collected at workshops or in small groups to engage with community members and develop dialogue alongside the maps (Wridt 2010;Weiner and Harris 2003).…”

Section: Representations In Participatory Mappingmentioning

confidence: 99%

“…For these purposes, data are often collected at workshops or in small groups to engage with community members and develop dialogue alongside the maps (Wridt 2010;Weiner and Harris 2003). In taking this approach, the use of sketch maps can aid conversation by acting as a visual supplement to qualitative interviews, providing familiarity and comfort for participants in what can sometimes be an intimidating setting, a key challenge in encouraging participants to share information with the researchers (Marquart et al 2020;Yabiku et al 2017;Boschmann and Cubbon 2014).…”

Section: Representations In Participatory Mappingmentioning

confidence: 99%

Paper2GIS: improving accessibility without limiting analytical potential in Participatory Mapping

2022

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Participatory Mapping encompasses a broad spectrum of methods, each with advantages and limitations that can influence the degree to which the target audience is able to participate and the veracity of the data collected. Whilst being an efficient means to gather spatial data, the accessibility of online methods is limited by digital divides. Conversely, whilst non-digital approaches are more accessible to participants, data collected in this way are typically more challenging to analyse and often necessitate researcher interpretation, limiting their use in decision-making. We therefore present ‘Paper2GIS’, a novel sketch mapping tool that automatically extracts mark-up drawn onto paper maps and stores it in a geospatial database. The approach embodied in our tool simultaneously limits the technical burden placed on the participant and generates data comparable to that of a digital system without the subjectivity of manual digitisation. This improves accessibility, whilst simultaneously facilitating spatial analyses that are usually not possible with paper-based mapping exercises. A case study is presented to address two energy planning questions of the residents in the Outer Hebrides, UK. The results demonstrate that accessibility can be improved without impacting the potential for spatial analysis, widening participation to further democratise decision-making.

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“…Safety and comfort are two aspects that the bicycling environment should provide [3]. Past research has shown how the presence of cycle infrastructure, pavement conditions and road safety conditions play a fundamental role in encouraging cycling [4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Observed Risk and User Perception of Road Infrastructure Safety Assessment for Cycling Mobility

2021

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The opportunities for data collection in smart cities and communities provide new approaches for assessing risk of roadway components. This paper presents and compares two different methodological approaches for cycling safety assessment of objective and perceived risk. Objective risk was derived from speed and direction profiles collected with Global Navigation Satellite System (GNSS) and camera installed on an instrumented bicycle. Safety critical events between cyclists and other road users were identified and linked to five different roadway components. A panel of experts was asked to score the severity of the safety critical events using a Delphi process to reach consensus. To estimate the perceived risk, a web-based survey was provided to the city bicyclist community asking them to score the same five roadway components with a 4-point Likert scale. A comparison between perceived and objective risk classification of the roadway components showed a good agreement when only higher severity conflicts were considered. The research findings support the notion that it is possible to collect information from bicycle probe data that match and user perceptions and thus, utilizing them to take advantage of such data in advancing the goals of in smart cities and communities.

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The planned and the perceived city: A comparison of cyclists' and decision-makers' views on cycling quality

Cited by 34 publications

References 55 publications

How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China

How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China

Paper2GIS: improving accessibility without limiting analytical potential in Participatory Mapping

Observed Risk and User Perception of Road Infrastructure Safety Assessment for Cycling Mobility

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