Assessing the relationship between neighbourhood characteristics and cycling: Findings from Amsterdam

Nello-Deakin, Samuel; Harms, Lucas

doi:10.1016/j.trpro.2019.09.005

Cited by 17 publications

(9 citation statements)

References 32 publications

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“…Based on our interviews with 28 international newcomers to Amsterdam, we identified the following seven main factors encouraging cycling uptake among newcomers: 1) access to a bicycle is easy and inexpensive; 2) cycling is more competitive than other forms of transport; 3) cycling is part of the Amsterdam lifestyle; 4) there exists a social pressure to cycle; 5) the city is built for cycling; 6) cycling is fun and enjoyable; and 7) cycling is indispensable for grocery shopping and school trips. In agreement with observed differences in cycling rates at a neighborhood level (Nello-Deakin & Harms, 2019), the strength of these factors appears to be highest in inner neighborhoods inside the A10 ring, somewhat lower in the pre-19 th century historical city center, and significantly lower outside the A10 ring. This is the outcome of both spatial and social differences at a neighborhood level which tend to reinforce each other: if cycling is so popular in inner neighborhoods, it is partially because of their relatively dense urban structure, but also because the large numbers of cyclists create a social environment which itself encourages people living there to cycle.…”

Section: Conclusion and Discussionsupporting

confidence: 84%

The human infrastructure of a cycling city: Amsterdam through the eyes of international newcomers

Nello-Deakin

Николаева

2020

Urban Geography

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Although place-specific social norms play at least as important a role as physical factors in encouraging cycling in mature cycling cities, few studies have explored these factors in detail. In order to address this research gap, this paper offers a qualitative exploration of what makes Amsterdam a "cycling city". Through semi-structured interviews, the article explores the main factors which encourage cycling uptake among international newcomers to Amsterdam. Instead of relying on a division between "hard" and "soft" factors, we approach the city as a sociotechnical system, arguing that the material and social factors which encourage cycling in Amsterdam are co-constitutive. We identify seven main factors encouraging cycling, whichtend to be mutually reinforcing and highlight the critical role of the "human infrastructure" formed by cyclists themselves in encouraging cycling. Finally, our analysis uncovers a temporal dimension of cycling uptake, showing that many newcomers become increasingly reliant on cycling over time.

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Section: Conclusion and Discussionsupporting

confidence: 84%

The human infrastructure of a cycling city: Amsterdam through the eyes of international newcomers

Nello-Deakin

Николаева

2020

Urban Geography

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“…While most studies examine cycling environments in the North American context, increasingly academic and policy attention has turned to the Netherlands, which offers a context where cycling is a more mature, mainstream mode of transport (e.g. Harms et al 2014Harms et al , 2016Rietveld and Daniel 2004;Nello-Deakin and Harms 2019).…”

Section: Introductionmentioning

confidence: 99%

The bicycle-train travellers in the Netherlands: personal profiles and travel choices

Jonkeren¹,

Kager²,

Harms

et al. 2019

Transportation

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The Netherlands seems to exhibit the unique conditions that allow cycling on the country level instead of only the city level. Moreover, the national transit system seemingly provides one crucial condition: citizens use the train and cycling systems in an integrated manner, with combined bicycle-train transport recently demonstrating strong growth. Relatively little is known about bicycle-train users, i.e. the people who combine the bicycle and the train in a single trip. In this paper, we investigate their profiles and travel choices, in terms of the modes they choose for access and egress travel, their choice of stations, and their choice of type of bicycles. Studying this specific group can add to our understanding of the role of the train system in the success of cycling in the Netherlands, in turn helping improve policy transfer to metropolitan areas in other countries. In 2017, in cooperation with the Dutch National Railways, researchers surveyed a sample of train travellers, ultimately resulting in more than 3000 completed questionnaires. Descriptive analyses revealed that, compared to train travellers who do not or rarely cycle to/from train stations, bicycle-train users are on average more likely to be young people who are engaged in fulltime employment or entrepreneurs, commute to work and hold university degrees. As for their cycling behaviour, bicycle-train travellers use bicycles much more often on the homeend of train trips than on the activity-end. Furthermore, bicycle-train travellers infrequently use suburban stations on the home-end, preferring large stations in the centres of major cities instead. For those who use bicycles, shared bicycles claim a considerable share on the activity-end of a train trip.

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“…The lack of compatibility between such approaches highlights the importance of using a comparable and transferable index for the bikeability of urban neighborhoods using data with comprehensive coverage in different regions of the world [24]. Recent studies partly overcome this shortage by using open data but do not use a comprehensive definition of bikeability at the same time [22,31] while others elaborate detailed definitions, which partly rely on municipal data [17,19,32]. Earlier studies identified further research gaps, such as using reliable data and different types of infrastructures [33], integrating other kinds of infrastructure, such as bicycle shops or repair facilities [34], and collecting data with systematic consideration of relevant factors [35].…”

Section: Introductionmentioning

confidence: 99%

More than Bike Lanes—A Multifactorial Index of Urban Bikeability

et al. 2021

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The present study aims to deduce bikeability based on a collective understanding and provides a methodology to operationalize its calculation based on open data. The approach contains four steps building on each other and combines qualitative and quantitative methods. The first three steps include the definition and operationalization of the index. First, findings from the literature are condensed to determine relevant categories influencing bikeability. Second, an expert survey is conducted to estimate the importance of these categories to gain a common understanding of bikeability and merge the impacting factors. Third, the defined categories are calculated based on OpenStreetMap data and combined to a comprehensive spatial bikeability index in an automated workflow. The fourth step evaluates the proposed index using a multinomial logit mode choice model to derive the effects of bikeability on travel behavior. The expert process shows a stable interaction between the components defining bikeability, linking specific spatial characteristics of bikeability and associated components. Applied components are, in order of importance, biking facilities along main streets, street connectivity, the prevalence of neighborhood streets, green pathways and other cycle facilities, such as rental and repair facilities. The mode choice model shows a strong positive effect of a high bikeability along the route on choosing the bike as the preferred mode. This confirms that the bike friendliness on a route surrounding has a significant impact on the mode choice. Using universal open data and applying stable weighting in an automated workflow renders the approach of assessing urban bike-friendliness fully transferable and the results comparable. It, therefore, lays the foundation for various large-scale cross-sectional analyses.

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Assessing the relationship between neighbourhood characteristics and cycling: Findings from Amsterdam

Cited by 17 publications

References 32 publications

The human infrastructure of a cycling city: Amsterdam through the eyes of international newcomers

The human infrastructure of a cycling city: Amsterdam through the eyes of international newcomers

The bicycle-train travellers in the Netherlands: personal profiles and travel choices

More than Bike Lanes—A Multifactorial Index of Urban Bikeability

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