scholarly journals Achieving ‘Active’ 30 Minute Cities: How Feasible Is It to Reach Work within 30 Minutes Using Active Transport Modes?

2022 ◽  
Vol 11 (1) ◽  
pp. 58
Author(s):  
Alan Both ◽  
Lucy Gunn ◽  
Carl Higgs ◽  
Melanie Davern ◽  
Afshin Jafari ◽  
...  
Keyword(s):  
Climate Change ◽  
Population Growth ◽  
Active Transport ◽  
Public Transport ◽  
Traffic Congestion ◽  
Motor Vehicle ◽  
Spatial Relationship ◽  
Rapid Urbanization ◽  
Transport Mode ◽  
Transport Modes

Confronted with rapid urbanization, population growth, traffic congestion, and climate change, there is growing interest in creating cities that support active transport modes including walking, cycling, or public transport. The ‘30 minute city’, where employment is accessible within 30 min by active transport, is being pursued in some cities to reduce congestion and foster local living. This paper examines the spatial relationship between employment, the skills of residents, and transport opportunities, to answer three questions about Australia’s 21 largest cities: (1) What percentage of workers currently commute to their workplace within 30 min? (2) If workers were to shift to an active transport mode, what percent could reach their current workplace within 30 min? and (3) If it were possible to relocate workers closer to their employment or relocate employment closer to their home, what percentage could reach work within 30 min by each mode? Active transport usage in Australia is low, with public transport, walking, and cycling making up 16.8%, 2.8%, and 1.1% respectively of workers’ commutes. Cycling was found to have the most potential for achieving the 30 min city, with an estimated 29.5% of workers able to reach their current workplace were they to shift to cycling. This increased to 69.1% if workers were also willing and able to find a similar job closer to home, potentially reducing commuting by private motor vehicle from 79.3% to 30.9%.

scholarly journals Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter

2021 ◽  
pp. 036119812110299
Author(s):  
Muhammad Ahsanul Habib ◽  
Md Asif Hasan Anik
Keyword(s):  
Public Transport ◽  
Traffic Congestion ◽  
Public Discourse ◽  
Transportation Systems ◽  
Transit Systems ◽  
Transportation Services ◽  
Holistic Understanding ◽  
Mobility Behavior ◽  
Transport Modes ◽  
Online Schools

This study proposes a framework to analyze public discourse in Twitter to understand the impacts of COVID-19 on transport modes and mobility behavior. It also identifies reopening challenges and potential reopening strategies that are discussed by the public. First, the study collects 15,776 tweets that relate to personal opinions on transportation services posted between May 15 and June 15, 2020. Next, it applies text mining and topic modeling techniques to the tweets to determine the prominent themes, terms, and topics in those discussions to understand public feelings, behavior, and broader sentiments about the changes brought about by COVID-19 on transportation systems. Results reveal that people are avoiding public transport and shifting to using private car, bicycle, or walking. Bicycle sales have increased remarkably but car sales have declined. Cycling and walking, telecommuting, and online schools are identified as possible solutions to COVID-19 mobility problems and to reduce car usage with an aim to tackle traffic congestion in the post-pandemic world. People appreciated government decisions for funding allocation to public transport, and asked for the reshaping, restoring, and safe reopening of transit systems. Protecting transit workers, riders, shop customers and staff, and office employees is identified as a crucial reopening challenge, whereas mask wearing, phased reopening, and social distancing are proposed as effective reopening strategies. This framework can be used as a tool by decision makers to enable a holistic understanding of public opinions on transportation services during COVID-19 and formulate policies for a safe reopening.

The Role of Active Transport Modes in Enhancing the Mobility of Low-Income People in Latin America and the Caribbean

2021 ◽  
Author(s):  
María Eugenia Rivas ◽  
Tomás Serebrisky
Keyword(s):  
Latin America ◽  
Active Transport ◽  
Low Income ◽  
Public Transport ◽  
Urban Transport ◽  
Transport Systems ◽  
Income Groups ◽  
Low Income Groups ◽  
The Caribbean ◽  
Transport Modes

Active transport modes play a key role in developing sustainable transport systems by making cities accessible, safe, inclusive, and green. In Latin America and the Caribbean, walking and cycling represent a large share of total trips, especially for low-income groups. But for them, the decision to travel by using active transport modes, especially walking, is not based on sustainability but affordability. Income disparities in the region are also reflected in pedestrian and cycling infrastructure, with poor neighborhoods lacking infrastructure of sufficient quality or size. Despite some successful experiences in the region, there is a lack of integration between transport modes, particularly public transport and cycling, which is crucial for improving the accessibility of low-income people, who usually live in peripheral areas, face long commutes, and require connecting infrastructure and services. The region has the opportunity to improve low-income groups access to livelihood opportunities and key services by developing infrastructure supporting nonmotorized transport, increasing citizen participation in planning, improving planning and regulation, and integrating active transport modes in urban transport systems, especially public transport.

Examining associations between urban design attributes and transport mode choice for walking, cycling, public transport and private motor vehicle trips

2017 ◽  
Vol 6 ◽  
pp. 155-166 ◽  
Author(s):  
Claire Boulange ◽  
Lucy Gunn ◽  
Billie Giles-Corti ◽  
Suzanne Mavoa ◽  
Chris Pettit ◽  
...  
Keyword(s):  
Urban Design ◽  
Public Transport ◽  
Motor Vehicle ◽  
Mode Choice ◽  
Transport Mode ◽  
Design Attributes

Study on Public Transport Development Strategy of Satellite Cities in China

2013 ◽  
Vol 409-410 ◽  
pp. 1193-1196
Author(s):  
Yujiao Zhu ◽  
Xinyu Li ◽  
Chaoyang Li
Keyword(s):  
Development Strategy ◽  
Public Transport ◽  
Traffic Congestion ◽  
Transition Period ◽  
Urban Traffic ◽  
Rapid Urbanization ◽  
Urban Public Transport ◽  
Urban Problems ◽  
Urbanization In China

Due to the expansion of satellite cities by rapid urbanization in China, a variety of urban problems happened especially when it comes to transportation. This paper analyzes the situation about urban public transport and the priority to urban public transport to solve the problems of urban traffic congestion, which provides a valuable reference and a new way for the renewal of satellite cities construction, especially for the development of cities in the transition period.

Risk intelligence of structural systems: concepts and recent developments

2021 ◽  
Author(s):  
Junho Song
Keyword(s):  
Climate Change ◽  
Population Growth ◽  
Knowledge Flow ◽  
Structural Systems ◽  
Rapid Urbanization ◽  
Civil Infrastructures ◽  
Recent Developments ◽  
Risk Intelligence

<p>To ensure and maintain reliability of civil infrastructures against rapid urbanization, globalization, population growth, and climate change, the concept of risk intelligence is needed. Four elements – identification, integration, inference, and implementation – are proposed and discussed from the viewpoint of data-information-knowledge flow. Recent research developments are presented to provide examples and identify topics of further research toward risk intelligence.</p>

scholarly journals Do active modes of transport cause lower body mass index? Findings from the HABITAT longitudinal study

2018 ◽  
Vol 72 (4) ◽  
pp. 294-301 ◽  
Author(s):  
Gavin Turrell ◽  
Belinda A Hewitt ◽  
Jerome N Rachele ◽  
Billie Giles-Corti ◽  
Lucy Busija ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Public Transport ◽  
Motor Vehicle ◽  
Men And Women ◽  
Transport Mode ◽  
Time Points ◽  
Work Related ◽  
Representative Study ◽  
Before And After

BackgroundFew studies have examined the causal relationship between transport mode and body mass index (BMI).MethodsWe examined between-person differences and within-person changes in BMI by transport mode over four time points between 2007 and 2013. Data were from the How Areas in Brisbane Influence HealTh and AcTivity project, a population-representative study of persons aged 40–65 in 2007 (baseline) residing in 200 neighbourhoods in Brisbane, Australia. The analytic sample comprised 9931 respondents who reported on their main transport for all travel purposes (work-related and non-work-related). Transport mode was measured as private motor vehicle (PMV), public transport, walking and cycling. Self-reported height and weight were used to derive BMI. Sex-specific analyses were conducted using multilevel hybrid regression before and after adjustment for time-varying and time-invariant confounders.ResultsIndependent of transport mode and after adjustment for confounders, average BMI increased significantly and linearly across the four time points for both men and women. Men and women who walked or cycled had a significantly lower BMI than their counterparts who used a PMV. BMI was nearly always lower during the time men and women walked or cycled than when they used a PMV; however, few statistically significant differences were observed. For women, BMI was significantly higher during the time they used public transport than when using a PMV.ConclusionThe findings suggest a causal association between transport mode and BMI and support calls from health authorities to promote walking and cycling for transport as a way of incorporating physical activity into everyday life to reduce the risk of chronic disease.

E-Scooter Systems

2021 ◽  
pp. 36-67
Author(s):  
Betül Ertoy Sariişik ◽  
Ozge Yalciner Ercoskun
Keyword(s):  
Climate Change ◽  
Traffic Congestion ◽  
Transportation Planning ◽  
City Planning ◽  
Global Scale ◽  
Urban Mobility ◽  
Transport Mode ◽  
Expert Opinions ◽  
Fossil Fuel Consumption ◽  
Sustainable Urban Mobility

Transportation planning, as one of the essential parts of city planning, has the potential to solve many problems on a global scale. These problems can be listed as traffic congestion, air pollution, fossil-fuel consumption, accessibility problems, global warming, climate change, and psychological problems affecting human lives. In recent years, transportation planning studies have come to the fore within the concept of sustainable urban mobility. The focus of this research is e-scooter systems, one of the micromobility options within the scope of urban mobility. The study explores how the availability of this micro transport mode can affect the time, cost, and ease of travels. In order to get information about the applications in Turkey, provider representatives were interviewed, and mobile applications and expert opinions were consulted.

scholarly journals Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh

2021 ◽  
Vol 2 ◽  
Author(s):  
Niaz Mahmud Zafri ◽  
Asif Khan ◽  
Shaila Jamal ◽  
Bhuiyan Monwar Alam
Keyword(s):  
Logistic Regression ◽  
Active Transport ◽  
Public Transport ◽  
Online Survey ◽  
Binary Logistic Regression ◽  
Transportation System ◽  
Sustainable Transportation ◽  
The World ◽  
Policy Measures ◽  
Transport Modes

The impacts of COVID-19 on the transportation system have received attention from researchers all over the world. Initial findings reveal that patronage of public transport has gone down, while the use of active transport has increased in general. To the best of our knowledge, no study has focused on the pandemic’s effects on motorcycle mode, let alone in the context of an Asian city. We attempted to fill this void in literature by investigating if COVID-19 has influenced people to purchase motorcycles and determining the factors driving their intentions. The study is based on an online survey of 368 people in Dhaka, the capital of Bangladesh. The study found that around 46% of the respondents were expected to increase travel by motorcycle during the post-lockdown period. About 21% of the respondents were also expected to do the opposite. Around 31% of the respondents planned to purchase a motorcycle by August 2021, and the results indicated that the pandemic has influenced more people to purchase motorcycles compared to the pre-pandemic period. The study further identified factors that influenced the respondents’ plan for purchasing a motorcycle during the post-lockdown period applying the binary logistic regression. Based on the findings of the study, policy measures were proposed for controlling the growth of motorcycle numbers and increasing the use of active transport modes as its alternative, and consequently, helping to achieve sustainable transportation outcomes.

scholarly journals Large-Scale Road Network Congestion Pattern Analysis and Prediction Using Deep Convolutional Autoencoder

2021 ◽  
Vol 13 (9) ◽  
pp. 5108
Author(s):  
Navin Ranjan ◽  
Sovit Bhandari ◽  
Pervez Khan ◽  
Youn-Sik Hong ◽  
Hoon Kim
Keyword(s):  
Traffic Congestion ◽  
Network Architecture ◽  
Road Network ◽  
Large Scale ◽  
Pattern Analysis ◽  
Image Data ◽  
Urban Life ◽  
Prediction Algorithm ◽  
Rapid Urbanization ◽  
Convolutional Autoencoder

The transportation system, especially the road network, is the backbone of any modern economy. However, with rapid urbanization, the congestion level has surged drastically, causing a direct effect on the quality of urban life, the environment, and the economy. In this paper, we propose (i) an inexpensive and efficient Traffic Congestion Pattern Analysis algorithm based on Image Processing, which identifies the group of roads in a network that suffers from reoccurring congestion; (ii) deep neural network architecture, formed from Convolutional Autoencoder, which learns both spatial and temporal relationships from the sequence of image data to predict the city-wide grid congestion index. Our experiment shows that both algorithms are efficient because the pattern analysis is based on the basic operations of arithmetic, whereas the prediction algorithm outperforms two other deep neural networks (Convolutional Recurrent Autoencoder and ConvLSTM) in terms of large-scale traffic network prediction performance. A case study was conducted on the dataset from Seoul city.

scholarly journals Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation

2021 ◽  
Vol 13 (15) ◽  
pp. 8324
Author(s):  
Viacheslav Morozov ◽  
Sergei Iarkov
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Congestion ◽  
Traffic Management ◽  
System Analysis ◽  
Motor Vehicle ◽  
Experimental Studies ◽  
Transport Systems ◽  
Experiment Planning ◽  
Traffic Light

Present experience shows that it is impossible to solve the problem of traffic congestion without intelligent transport systems. Traffic management in many cities uses the data of detectors installed at controlled intersections. Further, to assess the traffic situation, the data on the traffic flow rate and its concentration are compared. Latest scientific studies propose a transition from spatial to temporal concentration. Therefore, the purpose of this work is to establish the regularities of the influence of traffic flow concentration in time on traffic flow rate at controlled city intersections. The methodological basis of this study was a systemic approach. Theoretical and experimental studies were based on the existing provisions of system analysis, traffic flow theory, experiment planning, impulses, probabilities, and mathematical statistics. Experimental data were obtained and processed using modern equipment and software: Traficam video detectors, SPECTR traffic light controller, Traficam Data Tool, SPECTR 2.0, AutoCad 2017, and STATISTICA 10. In the course of this study, the authors analyzed the dynamics of changes in the level of motorization, the structure of the motor vehicle fleet, and the dynamics of changes in the number of controlled intersections. As a result of theoretical studies, a hypothesis was put forward that the investigated process is described by a two-factor quadratic multiplicative model. Experimental studies determined the parameters of the developed model depending on the directions of traffic flow, and confirmed its adequacy according to Fisher’s criterion with a probability of at least 0.9. The results obtained can be used to control traffic flows at controlled city intersections.

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