Transportation Options Research Articles

Global warming potential, water footprint, and energy demand of shared autonomous electric vehicles incorporating circular economy practices

With the emergence of research on Shared autonomous electric vehicles (SAEVs) as a futuristic transportation option, it becomes important to explore the environmental implications of these types of vehicles before being implemented on a large scale. This work aims to investigate some of the environmental implications of SAEVs compared to privately owned electric vehicles (EVs) through a set of assessment criteria consisting of their life cycle global warming potential (GWP), water footprint and energy demand. In addition, this work examines how different circular economy (CE) practices and energy mixes influence the SAEV's environmental implications. The analysis conducted shows that SAEVs have higher negative environmental effects than private conventional EVs. However, circularity practices were found to decrease these effects. CE practices reduced the GWP, water footprint, and energy demands of SAEVs by 21.4 %, 18.2 %, and 17.3 % respectively. Results have also shown that utilizing the projected 2050 U.S. energy mix and incorporating CE practices throughout the life cycle of an SAEV will decrease the GWP, water footprint, and energy demand by 46 %, 36.2 %, and 39.3 % respectively. In contrast, by utilizing an energy mix that only consists of the clean energy sources of the 2050 U.S. energy mix in the same proportions but forming 100 % of the mix, the GWP, water footprint and energy demand decrease by 73.2 %, 51.2 %, and 29.1 % respectively. The analysis shows that an SAEV will always have higher GWP, water footprint, and energy demand compared to an EV utilizing the same battery due to deadheading and the increased power consumption caused by the additional automation enabling components.

A systematic review and meta-synthesis of the complex and interconnected factors that influence planning for driving retirement

Introduction: With an aging population there are more older drivers than ever before. To reduce unnecessary road accidents and assist older drivers to successfully transition to non-driving, a better understanding of the factors that influence planning for driving retirement is required. This review explores documented factors that may influence older adults in planning for driving retirement, thus providing new understandings that can inform future preventative road safety measures, interventions, and policies. Method: A systematic search was performed using four databases to locate qualitative studies on the factors that influenced older drivers to plan for driving retirement. To identify factors influencing planning for driving retirement, a thematic synthesis approach was utilized. Identified themes were categorized in relation to elements of the Social Ecological Model theoretical framework. Results: The systematic search resulted in 12 included studies from 4 countries. Four major themes and 11 subthemes were identified regarding planning driver retirement. Each subtheme denotes a factor that may facilitate and/or impede older drivers planning for driving retirement. Conclusion: These results indicate that it is vitally important to encourage older drivers to plan for driving retirement as early as possible. Stakeholders involved in the safety of older drivers (including family, clinicians, road authorities, and policy makers) should work together on interventions and policies that empower older drivers to successfully plan for driving retirement in order to improve road safety and quality of life. Practical Applications: Introducing conversations about driving retirement via medical appointments, family, media, and peer-support groups could facilitate planning for driving retirement. Community-based ride-sharing systems and subsidized private transport options are needed to ensure continued mobility of older adults, especially in rural and regional areas that lack alternate transport services. When devising urban and rural planning, transport, license renewal, and medical testing rules, policy makers should consider older drivers’ safety, mobility, and quality of life after driving retirement.

Autonomous Cargo Bike Fleets – Approaches for AI-Based Trajectory Forecasts of Road Users

Abstract Automated cargo bikes are intended to complement public transportation in a sharing concept and provide an alternative transportation option for people and goods. In highly automated driving without a seated user, real-time trajectory prediction of other road users is crucial for collision avoidance with other motor vehicles or vulnerable road users (VRU). For this purpose, moving obstacles are detected by environmental sensors and classified and tracked using object detection and tracking algorithms. The current and past position data as well as environmental information are used to predict future positions. In this paper, we present several AI-based trajectory prediction models that are specifically suited for this use case. Our focus is not only on the accuracy of trajectory prediction, but additionally on a robust, real-time and practical application. We consider models that can predict the trajectories with position estimation or distributions for position estimation for each time step in the future. For this aim, we present generative network structures based on Conditional Variational Autoencoder (CVAE) in different variants. After training, the models are integrated into our production system and their computation time is determined on the hardware we use.

An Integrated Intuitionistic Fuzzy Closeness Coefficient-Based OCRA Method for Sustainable Urban Transportation Options Selection

Transportation systems play a key role in urban development by providing access for people to markets and education, employment, health care, recreation, and other key services. However, uncontrolled urban population and fast growth of vehicle mobility inevitably lead to unsustainable urban transportation systems in terms of economic, technical, social, and geographical aspects of sustainability. Thus, there is a need to select suitable sustainable urban transportation (SUT) alternatives, which can contributed to the technological advancement of a city and changes in societal necessities, mitigating the climate change impact from transport and transforming living habits, in the context of high urban population growth. Therefore, this paper aims to introduce an integrated multi-attribute decision analysis (MADA) framework for assessing and ranking the sustainable urban transportation (SUT) options under an intuitionistic fuzzy sets (IFSs) context. In this regard, firstly IF-distance measures and their properties are developed to obtain the criteria weight. Second, an IF-relative closeness coefficient-based model is presented to find the criteria weights. Third, the operational competitiveness rating (OCRA) model is introduced with the IF-score function-RS-based decision experts’ weighing model and the relative closeness coefficient-based criteria weight determination model under the IFSs environment. To exemplify the utility and effectiveness of the developed IF-relative closeness coefficient-based OCRA methodology, a case study ranking the different SUT bus options is presented from an intuitionistic fuzzy perspective. A comparison with different models is made to prove the superiority and solidity of the obtained outcome. Moreover, the comparative analysis outperforms the other extant MADA models, as it can provide more sound outcomes than others, and thus it is more suitable and efficient to elucidate uncertain information in handling practical MADA problems. In this study, we analyze and determine the most suitable and sustainable SUT by considering the economic, technical, environmental, and social dimensions of sustainability and also make a significant contribution to the current scientific knowledge by providing a novel decision support system from an uncertainty perspective.

The development and implementation of a community engagement strategy to improve maternal health in southern Mozambique.

Delays to seek medical help can contribute to maternal deaths particularly in community settings at home or on the road to a health facility. Community engagement (CE) can improve care-seeking behaviours and complements community-based interventions strengthening maternal health. The purpose of this paper is to describe the process undertaken to develop and implement a large-scale community engagement strategy in rural southern Mozambique. The CE strategy was developed within the context of the "Community-Level Interventions for Pre-eclampsia" (NCT01911494) conducted between 2015-2017 in southern Mozambique. Key CE messages included pregnancy complications and their warning signs, including pre-eclampsia and eclampsia, as well as emergency readiness, birth preparedness, decision-making mechanisms, transport options and information about the trial. CE meeting logs were used to record quantitative and qualitative information on demographic data and feedback. Quantitative data was analyzed using RStudio (RStudio Inc, Boston, United States) and community feedback was qualitatively analyzed on NVivo12 (QSR International, Melbourne, Australia). CE activities reached 19,169 participants during 4,239 meetings. CE activities were reported to be well received by community members though there was a relatively lower participation of men (3565 /18.6%). The use of recognized local leaders and personnel, such as community leaders, nurses and community health workers, allowed for greater acceptance of CE activities and maximized coverage of health messages in the community setting. Our CE strategy was effective in integrating maternal health promoting activities in routine care of community health workers and nurses in the area. Understanding district differences, engaging husbands, partners, mothers-in-law and community-level decision-makers to build local support for maternal health and flexibility to tailor messages to local needs were important in developing sustainable forms of CE. Better strategies are needed to effectively engage men in maternal health promotion who were less available due to working outside of the home or neighbourhoods.

The Effectiveness of Local Governments' Policies in Response to Climate Change: An Evaluation of Structure Planning in Arden, Melbourne.

It is widely acknowledged that climate change has caused serious environmental issues, including drought, bushfires, floods, and heatwaves, and urban sustainability is currently seriously threatened as a result. Arden is one of the key urban regeneration areas set to experience dramatic residential changes under Melbourne's development blueprint within the next 20 years. The Arden Structure Plan (2022) outlines specific implementation steps but does not go into detail about the strategies and tactics used to address climate change and urban sustainability. Therefore, there are still problems with the plan, including a lack of information and time-bound development targets, ambiguous public engagement, little focus on urban crime, and insufficient climate change adaptation measures. The plan also considers affordable housing, a mixed-use development pattern that will significantly decrease environmental harm, and active transportation options, primarily walking and bicycling. Considering climate change, this plan will make Arden a suitable location for population growth. This paper aims to evaluate the Arden Structure Plan and make recommendations on how to improve the plan's urban sustainability and climate change considerations. Furthermore, it provides guidance on whether Arden is a suitable location for Melbourne's population growth in light of the climate change impacts anticipated to occur by 2100.

Passengers’ Satisfaction towards Service Quality with Public Transportation in Kathmandu Valley

The operation of public transportation is a public service. Nepal's only cooperative public transportation system is Sajha Yatayat. Additionally, many public transportation options are operated by private companies. Kathmandu is the capital of Nepal; hence the population and public transportation are under significant strain. Therefore, this location was chosen for the research on passengers' satisfaction with the service quality of public transportation. The survey issued 80 questionnaires to riders of public transportation. 52 surveys were returned. Forty of the samples were valid for analysis. 26 passengers (65%) said that evening and nighttime access to public transportation was extremely limited. In addition, 16 (40%) of respondents felt uneasy riding in public transportation. Similarly, 27 (67.5%) respondents noted poor hygiene, and 22 (55%), dangerous public transportation. However, the majority of passengers are dissatisfied with the accessibility, comfort, cleanliness, and safety of public transportation. Only the transportation fare provides satisfaction to passengers. In order to increase passenger happiness, the relevant authority should be accountable for enhancing the service quality of public transportation.

A techno-economic study of the strategy for hydrogen transport by pipelines in Canada

Hydrogen, as a clean, zero-emission energy fuel, will play a critical role in energy transition and achievement of the net-zero target in 2050. Hydrogen delivery is integral to the entire value chain of a full-scale hydrogen economy. This work conducted a systematic review and analysis of various hydrogen transportation methods, including truck tankers for liquid hydrogen, tube trailers for gaseous hydrogen, and pipelines, by identifying and ranking the main properties and affecting factors associated with each method. It is found that pipelines, especially the existing natural gas pipelines, provide a more efficient and cheaper means to transport hydrogen over long distances. Analysis was further conducted on Canadian natural gas pipeline network, which has been operating for safe, effective, and efficient energy transport over six decades. The established infrastructure, along with the developed operating and management experiences and skillful manpower, makes the existing pipelines the best option for transport of hydrogen in either blended or pure form in the country. The technical challenges in repurposing the existing natural gas pipelines for hydrogen service were discussed, and further work was analyzed.

Proposed Design of Service Quality Performance Management System for Indonesian HSR

In some countries, the development of High-Speed Railway (HSR) represents a significant technological advancement which helps modern society’s value of time and various activities. Despite of having complex operational support and significant financial outlays, studies have shown that HSR sector has several growth barriers due to poor punctuality, reliability, pricing, and inconvenient passenger journeys. These brought specific impact on deciding factors whether or not passengers choose the transport option as it affected passenger satisfaction level. Recognizing the global challenge, this paper anticipates the impending Indonesian HSR operation by observing passengers’ relevant service quality attributes. The findings served as the performance management design’s foundation. In order to assist HSR operators to improve passenger experience and satisfaction, this study aims to identify the relevant service quality of Indonesian HSR potential passengers as one of many solutions to eliminate lack of demand problem. Qualitative and quantitative data analysis from in-depth interviews with several Indonesian railway expert and information from prior publication of Asian HSR which was used to carry out external benchmarking, validate results, support design process, and create contextual performance indicators for attributes using Knowledge-Based Performance Management System (KBPMS). This paper produced numbers of service quality performance indicators whose prioritization was arranged in specific order. Five variables are used to measure tangibility attributes’ performance, whereas six variables are used to measure reliability attributes’ performance. Tangibility and reliability were chosen based on Indonesian railway market preference and common success factor of HSR best practices. This performance indicators were specifically developed based on these attributes’ sub-attributes which has been contextualized. In contrast to other countries, Indonesian HSR place a distinctive value on physical facilities as it affects travelling motivation. These new insights would direct Indonesian HSR operators to develop targeted solutions to increase passenger satisfaction and economic benefits.

STUDY OF OPTIONS FOR TRANSPORT PROVISION OF PRODUCTION INTEGRATION IN THE "PORT-INDUSTRIAL PARK" SYSTEM

The purpose of the article is to identify the structure of costs according to possible variants of transport provision in the "port - industrial park" system, as a basis for further optimization of the relevant transportation processes. The Methodology. To achieve the outlined goal, a set of general scientific and special methods of cognition were used, namely: system analysis and synthesis, generalization to characterize the current state and trends of further development of the "port-industrial park" system; graph-analytical - for visual presentation and graphical interpretation of statistical data. The results. International sea freight transportation is one of the profitable, reliable, safe and most popular transportation of large consignments of all types of cargo due to the fact that they provide high energy efficiency, environmental friendliness, ergonomics of sea transport, operational transshipment procedures, access to all parts of the world with the presence of ports, etc. It has been proven that the industrial park will ensure the development of a modern industrial complex in the seaport with developed engineering and transport infrastructure, warehouse and administrative premises. On the basis of the analysis, the main directions for solving the tasks of transport support for the industrial integration of the "port - industrial park" system are identified, namely, the optimization of the transport and technological infrastructure; efficient use of port infrastructure; optimization of transport costs. In order to identify the cost structure according to the possible variants of transport support in the "port - industrial park" system, the possible variants of the transport and technological equipment of the "port - industrial park" system are presented in the form of a diagram, and the formula for calculating the costs for the delivery of a unit of cargo is given for the industrial park. Scientific novelty. The authors substantiated the expediency of the creation and functioning of the "port-industrial park" system, identified the cost structure for possible transport options for industrial integration in the "port-industrial park" system. Practical significance. The obtained results can be used to increase the efficiency of multimodal freight transportation management.

Sustainable Status Assessment of the Transit-Oriented Development in Doha’s Education City

Doha, the capital of the State of Qatar, has seen rapid growth in recent years, resulting in challenges that can be addressed through sustainable urban design strategies. Such approaches, including Transit-Oriented Development, aim to provide compact urban forms with mixed-use development enabling easy access to the city’s transit services. In light of such objectives, and with the 2022 World Cup being hosted in Qatar, the government has invested heavily in its public transportation system and in implementing Transit-Oriented Development. This work presents an analysis of the current status of Transit-Oriented Development in the knowledge hub in Doha known as Education City. A case study methodology was used, which included site observation, photographic documentation, mapping, and statistical analysis based on recent census data. The analysis shows that the use of public transportation throughout the site is relatively low, largely due to the region’s hot climate and the local mobility culture, in which there is a general preference for private vehicle use. The culmination of this investigation is a master plan for the study area, which foresees further enhancement of the area while still holding to the aims of Transit-Oriented Development. To this end, key recommendations for modifying the prevailing mobility culture are suggested, such as increasing the availability of multimodal transportation in order to improve public transportation functionality and modifying certain aspects of the public transportation system so that it is convenient and comfortable, even during periods of very hot weather. The findings of this study highlight the potential of urban design to change people’s behavior and increase awareness of multimodal transport options.

An Empirical Investigation of Ridesharing and New Vehicle Purchase

Problem definition: In this work, we examine how ridesharing platforms affect changes in short-term vehicle purchasing. On the one hand, if the introduction of such platforms motivates owners to use the idle capacity of their existing vehicles to accrue rents, vehicle sales might fall. On the other hand, if the platform induces would-be drivers to purchase new vehicles in order to participate, vehicle sales might rise. Academic/practical relevance: Whereas operations management researchers have begun to broach this subject analytically, this work provides empirical evidence of the impact of ridesharing platforms on new vehicle ownership. Further, we assess heterogeneity in the effect across vehicle type and location. Methodology: We examine this tension using a unique data set of new vehicle registrations in China. In doing so, we exploit the variation in the timing of Uber entry using a difference-in-difference approach. Results: Findings suggest Uber entry is associated with a significant short-term increase in private new vehicle ownership, indicating that consumers actively change their stock of held resources to capture excess rents offered by the platform. These effects exclusively manifest among vehicle brands that qualify for the platform. Further, inasmuch as sales of vehicles with smaller displacement increase more than large-displacement vehicles, results indicate that the effect of Uber entry varies considerably across vehicle types. Finally, results indicate that the effects are stronger in locations where established public transportation options are weaker. Managerial implications: Results provide initial evidence that manufacturers can benefit from the emergence of the sharing economy, especially manufacturers whose products align with the needs of platform participants. For policy makers, our findings further undercut claims made by platforms that the individuals working on them are exploiting already existing resources, suggesting some form of nascent professionalism on the part of platform workers. Funding: The research was supported by the Key Program of National Natural Science of China [Grant 71832010]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1183 .

The Elderly Acceptance of Autonomous Vehicle Services in Beijing, China

China's population has been ageing fast at an accelerated pace since the 21st century, while the mobility and convenience of travel for the elderly were weakened by the limited transportation options. Autonomous vehicles, an emerging mode of transport, provide flexibility for the elderly, provided that the rapid and widespread this new mode of transportation can be accepted by the elderly population. This paper plans to gain insights from the attitudes of the Beijing elderly using autonomous vehicles, perceiving the importance of different types of services. The stated preference survey was conducted over 376 respondents from various generations, which examined their perception of autonomous vehicles after their retirement. An ordered logistics model used in this paper shows that people who use emerging transportation modes (e.g., car-sharing and ride-hailing) are more likely to use autonomous vehicle services. Accessing shopping activities and medical care is the two crucial purposes for the elderly autonomous vehicle users. Additionally, the clustering and correlation analysis indicate that people with a higher willingness to use autonomous vehicles are the earliest target users of these services. However, living with children and running errands in short distances by bicycle and walk, the elderly in the early generation hardly adopts autonomous vehicle services after their retirement.

A network-based analysis to assess COVID-19 disruptions in the Bogotá BRT system.

The global COVID-19 crisis has severely affected mass transit in the cities of the global south. Fear of widespread propagation in public spaces and the dramatic decrease in human mobility due to lockdowns have resulted in a significant reduction of public transport options. We analyze the case of TransMilenio in Bogotá, a massive Bus Rapid Transit system that is the main mode of transport for an urban area of roughly 10 million inhabitants. Concerns over social distancing and new health regulations reduced the number of trips to under 20% of its historical values during extended periods of time during the lockdowns. This has sparked a renewed interest in developing innovative data-driven responses to COVID-19 resulting in large corpora of TransMilenio data being made available to the public. In this paper we use a database updated daily with individual passenger card swipe validation microdata including entry time, entry station, and a hash of the card's ID. The opportunity of having daily detailed minute-to-minute ridership information and the challenge of extracting useful insights from the massive amount of raw data (∼1,000,000 daily records) require the development of tailored data analysis approaches. Our objective is to use the natural representation of urban mobility offered by networks to make pairwise quantitative similarity measurements between daily commuting patterns and then use clustering techniques to reveal behavioral disruptions as well as the most affected geographical areas due to the different pandemic stages. This method proved to be efficient for the analysis of large amount of data and may be used in the future to make temporal analysis of similarly large datasets in urban contexts.

Pengaruh Kualitas Pelayanan dan Persepsi Harga terhadap Tingkat Kepuasan Pelanggan Pengguna Jasa Pelayanan Driver Grab

In the city of Karawang, the use of online ojek transportation is one of the most effective transportation options, although it is felt to be a little more expensive, because it is able to provide better service, considering that it is not bound by routes and service hours. Grab is a mobile application-based motorcycle taxi service through its services. Therefore, quite a lot of Grab application users order motorcycle taxis using the mobile application online, after which the passengers will be picked up by motorcycle taxi drivers who will respond to orders from Grab users or from potential passengers. This study aims to determine the effect of service quality and price perceptions on customer satisfaction using Grab driver services in Karawang. This type of research is explanatory research with sampling using nonprobability sampling approach and purposive sampling technique. The data collection technique used a questionnaire in the form of a Google form aimed at users of the Grab online transportation service in Karawang City. Respondents in this study amounted to 100 people. The data analysis technique used was regression analysis using SPSS version 22 software. The results concluded that service quality had a positive and significant effect on customer satisfaction, price had a positive and significant effect on customer satisfaction, and service quality and price had a significant effect together. (simultaneously) on customer satisfaction using Grab online transportation services in Karawang City.

Expanding access to rehabilitation using mobile health to address musculoskeletal pain and disability.

Musculoskeletal (MSK) disorders such as low back pain and osteoarthritis are a leading cause of disability and the leading contributor to the need for rehabilitation services globally. This need has surpassed the availability of trained clinicians; even in urban areas where services and providers are thought to be more abundant, access can be challenged by transportation options and financial costs associated with travel, care and lost time from work. However, continuing standard of fully in-person rehabilitation care for MSK-associated pain and disability may no longer be necessary. With increased ownership or access to even a basic mobile phone device, and evidence for remote management by trained clinicians, some individuals with MSK disorders may be able to continue their rehabilitation regimen predominantly from home after initial evaluation in primary care or an outpatient clinic. This manuscript describes application of a framework we used to culturally and contextually adapt an evidence-based approach for leveraging digital health technology using a mobile phone (mHealth) to expand access to rehabilitation services for MSK-associated pain and disability. We then conducted a multi-level analysis of policies related to the adapted approach for rehabilitation service delivery to identify opportunities to support sustainability. Our study was conducted in Tanzania, a lower-middle income country with their first National Rehabilitation Strategic Plan released in 2021. Lessons learned can be applied even to countries with greater infrastructure or fewer barriers. The seven-step adaptation framework used can be applied in other regions to improve the likelihood of local mHealth adoption and implementation. Our practice and policy assessment for Tanzania can be applied in other regions and used collaboratively with government officials in support of building or implementing a national rehabilitation strategic plan. The work described, lessons learned and components of the plan are generalizable globally and can improve access to rehabilitation services using mHealth to address the significant and increasing burden of disability.

Creating a future that overcomes the digital divide through Scenario Building: strategies for inclusive public transport in the Barcelona Metropolitan Area

Recent technological developments characterizing the mobility sector such as digitalization, smart applications, location-based digital services etc., have been radically altering mobility patterns, with a great potential to improve users’ transportation options and experiences. In spite of this fact, some groups – such as people with low levels of education or with low income, elderly people, rural inhabitants, migrants, disabled people etc. – may be vulnerable to exclusion. This paper analyses a foresight activity aimed at co-creating potential inclusive transport scenarios in the metropolitan area of Barcelona, involving key mobility actors. The results include three co-created future scenarios based on the metropolitan context, as well as a set of specific policy recommendation and strategies that can support political planning in the promotion of inclusive public transport models.

Analysis of computer-aided tools for the freight transport options on selected examples

The article discusses issues related to the use of computer aided tools for the selection of transport options in the transport of goods. The article presents two case studies. One of them concerns the food transportation, and the other motor vehicles transportation. In both described cases, the selection of transport options is based on previous experience, without the use of specialized computer-aided tools to support the selection of transport options. A review and analysis of selected tools for computer aided selection of transport options allowed to distinguish an appropriate tool for the presented case studies. The article shows that the use of appropriate tools brings positive results in the form of reducing transport time and costs. The aim of the article is to review, analyse and select appropriate tools for computer aided selection of transport options in the carriage of goods for selected case studies.

The impact of parking pricing on mode choice

Over the past decades global urbanization has led to the rapid growth of cities. Mobility needs of inhabitants along with their emphasised car dependency have led to the constant increase in car ownership, while transport infrastructure hasn't followed this growth sufficiently. The consequences of this supply and demand imbalance are the numerous negative effects, such as: traffic congestion, time delays, illegal parking, emissions of pollutants, frustrations of drivers, etc. Having in mind that the essence of these problems lies in excessive car usage, policies contributing to the greater share of more sustainable transport mode are increasingly applied in transport management process nowadays. In this sense, parking policies, particularly parking charging, have proven to be very effective, supporting the implementation of sustainable transport goals in urban areas. It is well-known that parking charge can impact different patterns of user behaviour. For example, it can impact the user's choice of parking location or transport mode, trip destination, etc. Therefore, in order to properly define parking prices, it is necessary to understand the way users respond to them. Despite the importance of this topic, user response to parking policies has not yet been sufficiently examined. This paper aims to partially fill this gap. The aim of this paper is to investigate the parking price impact on user's choice of transport option based on the applied logistic regression, taking into account their socio-economic characteristics as well as trip characteristics. Transport options included the use of passenger car on the one hand and the use of more sustainable transport modes (public transport, taxi, walking) on the other. To fit the model we use data obtained by interviewing the users of one parking garage in Belgrade central area by revealed and stated preference methods.

Investigating Bicycle Riding as A Means of Green Mobility in Mubi Metropolis, Nigeria

The growing concerns about environmental sustainability and urban congestion have necessitated the promotion of green mobility options to become imperative in modern urban planning. This research explores the potential of bicycles as a sustainable transportation option in the Mubi metropolis, considering its unique geographical, socio-economic, and cultural context. Using a mixed-methods approach, the study gathered qualitative and quantitative data to understand local perceptions, attitudes, and barriers toward bicycle adoption. The findings revealed that the majority of the respondents frequently ride bicycles for various purposes, such as exercise, commuting to work, markets, farms, and schools. Bicycle ownership was found to be higher among the unemployed, but its ridership was greater among the employed. Males were more likely to own and ride bicycles than females. Affordability, health benefits, and congestion avoidance were identified as the top reasons for choosing cycling over other modes of transport. The research also highlighted several challenges associated with bicycle riding, including unsafe parking spaces, theft cases, accidents, injuries, and poor infrastructure conditions. To overcome these challenges, the study suggested measures such as wearing helmets, obeying road signals, and improving road design and safety measures. The research offers valuable insights for policymakers and urban planners in Mubi and similar regions to develop strategies that promote bicycle usage while addressing traffic congestion and air pollution. By advocating bicycle riding as a green mobility alternative, this research aims to improve the overall livability, health, and sustainability of the Mubi metropolis. It also serves as a potential model for other cities facing similar environmental and transportation challenges, contributing to the development of sustainable mobility plans that prioritize environmentally friendly transportation options. Ultimately, the study strives to inspire a transformation towards a greener, more resilient urban transportation system in Mubi and beyond.