Evaluation of land-use and transport network effects on cyclists' route choices in the Copenhagen Region in value-of-distance space

Prato, Carlo Giacomo; Halldórsdóttir, Katrín; Nielsen, Otto Anker

doi:10.1080/15568318.2018.1437236

Cited by 44 publications

(21 citation statements)

References 42 publications

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“…Revealed preference studies gather data on actual roads taken by cyclists via GPS, e.g., from bike sharing or apps. Subsequently, conclusions are drawn regarding route choice behavior based on estimated alternatives [16][17][18][19].…”

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confidence: 99%

Evaluating Cyclists’ Route Preferences with Respect to Infrastructure

Hardinghaus

Papantoniou

2020

Sustainability

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Providing a sufficiently appropriate route environment is crucial to ensuring fair and safe biking, thus encouraging cycling as a sustainable mode of transport. At the same time, better understanding of cyclists’ preferences regarding the features of their routes and their infrastructure requirements is fundamental to evaluating improvement of the current infrastructure or the development of new infrastructure. The present study has two objectives. The first is to investigate cyclists’ route preferences by means of a choice experiment based on a stated preference survey. Subsequently, the second objective is to compare cyclist preferences in two countries with different cycling characteristics (both in infrastructure as well as cyclists’ behavior). For this purpose, a graphical online stated preferences survey was conducted in Greece and Germany. Within the framework of statistical analyses, multinomial mixed logit discrete choice models were developed that allow us to quantify the trade-offs of interest, while distinguishing between the preferences of different user groups. In addition, user requirements in Greece, as a country with a low cycling share and very little dedicated bike infrastructure, were compared to the requirements in Germany, where cycling is popular and the infrastructure is well developed. The results over the whole sample indicate that subgroups value infrastructure differently according to their specific needs. When looking at country specifics, users from Greece are significantly more willing to accept longer travel times in return for higher-quality facilities. The utility of low speed limits in mixed traffic is also different. In Germany, low speed limits offset the disturbance caused by motorized traffic, but in Greece they do not. Consequently, the results help to asses which types of infrastructure are most sustainable from a user perspective and help to set priorities when the aim is to adapt the road infrastructure efficiently in a stable strategy.

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confidence: 99%

Evaluating Cyclists’ Route Preferences with Respect to Infrastructure

Hardinghaus

Papantoniou

2020

Sustainability

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“…For the following investigation, two different attribute vectors have been taken into consideration: the attribute vector with a constant exclusive bikeway

x_{a}^{C} = {[L_{a}, B_{a}]}^{'}

and

x_{a}^{P} = {[L_{a}, L_{a} B_{a}]}^{'}

where the exclusive bikeway attribute is proportional to the link length

L_{a}

, in accordance with other studies [4, 8, 27].…”

Section: Resultsmentioning

confidence: 99%

Estimation of link‐cost function for cyclists based on stochastic optimisation and GPS traces

Schweizer

Rupi

Poliziani

2020

IET intell. transp. syst

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The objective of this work is the calibration of a generalised cost function for the bicycle network links to be used in conjunction with assignment methods for uncongested networks, as cyclists are generally much less delayed by traffic congestions with respect to auto‐traffic. The calibration's goal is to find a coefficient vector for a linear link‐cost function that maximises the overlap between routes obtained with a minimum cost routing of cyclists' demand and the relative cyclists' chosen routes, identified by a map‐matching procedure of recorded global positioning system (GPS) traces. The calibration focuses on minimising an objective function through different established evolution‐based optimisation algorithms, thus avoiding the generation of route choice sets. Link cost functions are calibrated for a modified Openstreet network of Bologna, Italy, using GPS data from the European cycling challenge and Bella Mossa campaign. Results show an improvement of up to 30% of overlapping routes with respect to pure distance‐based routing. It is also demonstrated that the calibrated link‐costs are transferable to a different scenario.

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“…Cycling (see e.g. Prato et al 2018, Liua et al 2020) is an environmentally friendly mode that requires limited space compared to private cars. Innovations as E-bikes make cycling an even more attractive alternative.…”

Section: New Developments In Transport Modelingmentioning

confidence: 99%

Standard Transport Appraisal Methods

2020

Advances in Transport Policy and Planning

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Evaluation of land-use and transport network effects on cyclists' route choices in the Copenhagen Region in value-of-distance space

Cited by 44 publications

References 42 publications

Evaluating Cyclists’ Route Preferences with Respect to Infrastructure

Evaluating Cyclists’ Route Preferences with Respect to Infrastructure

Estimation of link‐cost function for cyclists based on stochastic optimisation and GPS traces

Standard Transport Appraisal Methods

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