ITS Monday: Edition 43, 2024
ITS Monday is a small, weekly collection of curated content from the worlds of intelligent transport systems, smart mobility, and associated areas.
Included this week, car dominance and dependency in Australia, MaaS, smart city lab, fixing the e-bike mess, and cycling speed.
The article headlines below are:
- It’s time to put Australia’s car dependency in reverse
- Establishing a framework of support to scale in Mobility as a Service: Consolidated insights from the literature on potential governance frameworks
- Mini smart city drives design of safer automated transportation
- Is it time to embrace active transport?
- Say bye to free-form e-bike parking in London following new rules to reduce bike mess on streets
- Modelling the impact of road infrastructure on cycling moving speed
This week’s articles
Now, scroll down, and see what’s in this week’s edition. Oh, and before you do, be sure check out the quickest way to receive our new content via the subscription box just below …
It’s time to put Australia’s car dependency in reverse
Nicely put together for the web, this article is co-authored by Professor Mark Stevenson, Dr Kerry Nice, Dr Sachith Seneviratne, Humberto Barrera-Jimenez and Associate Professor Jason Thompson, all of the University of Melbourne.
“After decades of sprawling, residential-only developments, Melbourne, along with all Australian cities, has become increasingly car-dependent – potentially impacting both the city’s liveability and the health of its residents. Our recent research explores the consequences of car-dependency across 1692 cities around the world, finding that it leads to increased risk of road trauma, pollution and chronic disease. There are many reasons for the rise in car-dependency across Australian cities.”
Related iMOVE articles:
- Traffic Congestion: Info, Projects & Resources
- What is Smart Mobility and why is it important?
- Road pricing reform: a thorny issue
Related iMOVE projects:
- Planning for free-floating parking for car-sharing in Australia
- DSRC vs C-V2X: Which C-ITS technology for Australia?
- C-ITS national harmonisation and pre-deployment research
At the link is a downloadable version of this new academic paper, co-authored by Thiranjaya Kandanaarachchia, John Nelson, David Hensher, Corinne Mulley, , Edward Weie, and Chinh Ho. The abstract:
“A sustainable and reliable Mobility as a Service (MaaS) ecosystem must be informed by the interests of the diverse set of stakeholders which include providers and users of MaaS as well as other societal beneficiaries. Despite numerous proposed MaaS models, to date few have flourished beyond initial trials with many failing to demonstrate a business case and change travel behaviour in sustainable ways. In this paper we go beyond the traditional set of transport service providers to investigate ways in which MaaS might be redeemed and scalable. To do this, we examine a number of themes designed to obtain insights into the roles that both mobility and nonmobility service providers might play in future MaaS settings.
We position this broadening of participants within a governance framework that accommodates uni-modal and multi-modal mobility offerings combined with services provided by non-mobility service providers, referred to as MaaS as a Feature (MaaF). Incentives and rewards are an essential feature of this ecosystem with non-mobility service providers an essential feature of any MaaS consideration if it is to have a chance of being scalable.”
Related iMOVE articles:
- MaaS (Mobility as a Service) in Australia: Info, Projects & Resources
- MaaS: What have we learned, and where to next?
Related iMOVE projects:
- Sydney MaaS trial: Design, implementation, lessons, the future
- Behavioural change for sustainable transport
- Mobility landscapes: Mobility as a Service customer impact trial
- Gippsland community e-Bus pilot
Mini smart city drives design of safer automated transportation
“Welcome to the Information and Decision Science Laboratory. Here, a 20-by-20-foot “smart” city shrunk to 1:25 scale and its fleet of custom-built cars, drones, cameras and virtual reality technology are helping researchers design a better – and safer – future for transportation.”
Embedded in the article is a video showing the mini smart city in action, along with a walk through by the lab’s dorector, Andreas Malikopoulos, Professor of Civil and Environmental Engineering at Cornell University.
Related iMOVE article:
READ THE ARTICLEIs it time to embrace active transport?
A 52-minute podcast from ABC Melbourne Radio’s The Conversation Hour. Hosts are Richelle Hunt and Nic Healey, the guests include Ben Rossiter from Victoria Walks, Katherine Sunderman of the Urban Design Forum, and Associate Professor Ben Beck of Monash University.
Related iMOVE articles:
- Active Transport: Info, Projects & Resources
- Liar, liar, e-Bikes on fire
- Micromobilty: Info, Projects & Resources
Related iMOVE project:
- Impacts & community benefits of a regional active travel network
- OneDock: Supercharging e-micromobility
- Road use activity data: Cyclists, pedestrians and micromobility
Say bye to free-form e-bike parking in London following new rules to reduce bike mess on streets
“London is putting the brakes on the mess of electric bikes that litter the streets of the city. Today, the local transportation authority, Transport for London (TfL), announced a new enforcement policy that will restrict parking for the tens of thousands of e-bikes rented on-demand from companies like Lime, Human Forest, and Dott.
The news is significant because London is closely watched when it comes to e-bikes. The U.K. capital has been described as a “template” city when it comes to figuring out the business case and environmental viability of e-bike services for urban locations.”
READ THE ARTICLEModelling the impact of road infrastructure on cycling moving speed
A new academic article, co-authored by Afshin Jafari, Dhirendra Singh, Lucy Gunn, Alan Both, and Billie Giles-Corti. The abstract:
“Cycling for transport is a sustainable alternative to using motorised vehicles for daily trips and is a key form of micromobility. Travel time is a critical factor influencing cycling route choice behaviour and uptake.
Thus, it is important to understand the factors affecting cycling travel time and speed and their impact on cycling behaviour. In this study, an agent-based transport simulation model with heterogeneous cycling speeds was developed and used for Melbourne to study the impact of a hypothetical traffic signal optimisation intervention along six key cycling corridors. Linear regression and random forest models were used to identify factors affecting cycling speed, which informed the parameters of the agent-based model. Simulation outputs showed, on average, an increase of 4.1 % in the number of cyclists on the corridors, as existing cyclists chose to use these corridors, and an average reduction in cyclists’ moving travel time of 6.2 % for those using the intervention corridors (excluding time spent waiting at traffic signals).
The findings provide insights into the effects of road attributes on cycling speed and behaviour, as well as the effectiveness of interventions aimed at reducing cycling delays. These insights are valuable for developing solutions to optimise urban infrastructure for micromobility, enhancing the efficiency and appeal of cycling as a viable transport option.”
Related iMOVE project:
READ THE ARTICLEDiscover more from iMOVE Australia Cooperative Research Centre | Transport R&D
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