Expectations, attitudes, and preferences regarding support and purchase of eco-friendly fuel vehicles

This study analyses public expectations, attitudes, and preferences to support and purchase eco-friendly fuel vehicles. The study used a telephone survey of a sample of residents in Greater Stavanger, Norway. Two cluster analyses were conducted to group the individuals based on expectations and attitudes toward eco-friendly fuel vehicles. In addition, two multivariate analyses were performed to explore the determinants of support and willingness to purchase eco-friendly fuel vehicles. The study found three components of expectation to support eco-friendly fuel vehicles, namely cost, comfort, and safety. The analysis further found four components to explain attitudes to support eco-friendly fuel vehicles: personal norm, pro-technology, awareness of priority, and environmental degradation. Multivariate analyses confirmed that age, gender, and the number of cars in the household are likely to influence public preferences to support and purchase eco-friendly fuel vehicles. The results reveal that individuals tend to support the eco-friendly vehicles when the technologies meet their expectations towards cost and safety, but the cost expectation is the significant factor that results in the decision to purchase the eco-friendly vehicles. The study also found that the pro-technology attitude has influenced the propensity to support and purchase the eco-friendly fuel vehicles.publishedVersio

Comparing Sustainable Product Hashtags: Insights from a Historical Twitter Dataset

This data article describes the process of data collection and analysis of Twitter conversations about sustainable products. The dataset contains the IDs of tweets tagged with the hashtags #sustainableproducts, #ecoproducts, #ecofriendlyproducts, and #greenproducts. The time period spans 10 years and includes a total of over 140 thousand tweets from around the world. The article describes the process of obtaining the data using Twarc and the Twitter developer's academic researcher API and describes the preprocessing techniques used to identify keywords, hashtags, topics, and sentiments expressed in the conversations. The analysis identifies key attributes of each sustainable product category as well as commonalities and differences within and across categories. The data have the potential to be reused in future research related to sustainable consumption and production, including further analysis of the sentiments and attitudes expressed in the Twitter conversations and comparison with other social media platforms or survey data. In addition, the data can serve as a basis for marketing strategies and product design by enterprises or organizations seeking to promote sustainable products.publishedVersio

Reviewing the impacts of smart energy applications on energy behaviours in Norwegian households

As climate problems escalate, it is crucial to reduce emissions. Understanding the ability of citizens to engage in decarbonization efforts is vital to address the sustainability challenge posed by climate problems. The potential for emissions reductions through changes in environmentally friendly behaviour is significant but often underestimated. Among many environmentally friendly behaviours, sustainable residential energy behaviours can have a direct impact, as a large share of total energy is consumed in the residential sector, and end-user practices can have a significant effect. As smart technology advances, various digital solutions have emerged for the end-users, significantly influencing their daily behaviour. Notably, smart energy applications have gained increased popularity among these solutions. This study aims to examine the potential and opportunities of smart energy apps to promote energy-related behaviour change and sustainable practices in the Norwegian context and to provide an overview of the relevant literature. Our findings suggest a significant lack of empirical research on the effectiveness of energy-related apps in promoting sustainable residential energy behaviour. Additionally, the limited empirical findings that do exist are mainly based on pilot-level projects, with little evidence from population-level adoption. Therefore, further research is needed to gain qualitative and quantitative insights into users' motivations and perceptions and investigate these apps' effectiveness in changing energy-related behaviours and sustaining behaviour change in the residential sector.publishedVersio

Exploring digital narratives: A comprehensive Dataset of Household Energy App reviews

This paper presents an anonymous dataset of 7999 user reviews covering five household energy mobile applications used in Norwegian households. Such reviews are usually available through the Google Play Store and Apple App Store platforms. They were collected using Python-based Google-Play-Scraper and App Store Scraper. To the best of our knowledge, this dataset represents a unique and valuable resource for investigating sustainable household energy behaviour within the specific context of Norway, where a considerable proportion of households already use these applications. Given the recent rise of mobile applications and the ongoing development of technological infrastructure worldwide, this dataset holds a potential for empirical research. It can provide valuable insights into daily energy practices, user sentiments, perceptions, and motivations for adopting digital solutions. Further, it can shed light on the potential of these solutions to drive sustainable behavioural change. Moreover, conducting the empirical analysis of this dataset can provide valuable insights to stakeholders involved in policy formulation, utility improvement, emissions reduction, and promotion of technology-driven behavioural change.publishedVersio

The multifunctionality concept in urban green infrastructure planning: A systematic literature review

Urban green infrastructure is critical for providing a wide range of ecosystem goods and services that benefit the urban population. Past studies have suggested that multifunctionality concerning urban infrastructure services and functions is a prerequisite for targeting effective and impactful urban green infrastructure. Moreover, urban green infrastructure with multiple functions can offer socio-economic and environmental benefits. However, there has been a knowledge gap in the planning literature to elaborate multiple ecosystem functions in urban green infrastructure. In particular, existing methods and approaches are lacking for quantifying and monitoring such ecological services and biodiversity in urban green infrastructures at different spatial scales. Therefore, this research aims to review studies focusing on the multifunctionality concept in urban green infrastructure planning. The study highlights the current status and knowledge gaps through a systematic review. Our analysis revealed that current studies on green infrastructure multifunctionality have focused on five main themes: 1) planning methods for urban green infrastructure, 2) assessment approaches of urban green infrastructure, 3) ecosystem services and their benefits, 4) sustainability and climate adaptation, and 5) urban agriculture. The study found that the five themes are somewhat connected to each other. The study has revealed a knowledge gap regarding incorporating multifunctional green infrastructure in the planning principle. The results suggest at least five critical elements to ensure multiple functions in urban infrastructure. The elements are spatial distribution, optimal distance, integrated network, accessibility, and public participation and engagement. The study further recommends research directions for future analysis on green infrastructure multifunctionality that are critical for urban planning.publishedVersio

ヨカ カツドウ ニ オケル コウツウ コウドウ ノ ヘンドウ トクセイ

京都大学0048新制・課程博士博士(工学)甲第14923号工博第3150号新制||工||1472(附属図書館)27361UT51-2009-M837京都大学大学院工学研究科都市社会工学専攻(主査)教授 藤井 聡, 准教授 吉井 稔雄, 准教授 宇野 伸宏学位規則第4条第1項該当Doctor of Philosophy (Engineering)Kyoto UniversityDA

To compete or not compete: exploring the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta metropolitan area

In the last decade, the emergence of ride-sourcing services has transformed personal trip behavior. In the context of Indonesia, ride-sourcing services have evolved into two modes of transport: motorcycle-based and car-based. The presence of such services has strongly impacted consumers’ choices of travel mode. However, the main question is whether the ride-sourcing service is a complement or a substitute for the existing public transport and conventional taxis. Using 438 motorcycle-based, ride-sourcing consumers, we applied a structural equation model to investigate the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta Metropolitan Area. The result shows that motorcycle-based ride-sourcing works as a complementary mode for the TransJakarta bus and Jakarta commuter train, but as a competitor with the motorcycle taxis. Contrarily, motorcycle taxis supported the existence of motorcycle-based ride-sourcing. The study also found that individuals use motorcycle taxis as feeders to transit stops. Individuals commonly use motorcycle taxis and motorcycle-based ride-sourcing for short travel distances. The demographic features and technology use experience also drive individuals’ choice of the three transportation modes. Integrating public transport with motorcycle-based ride-source services, and legalizing motorcycle taxis and motorcycle-based ride sourcing as forms of public transport are two main proposed policies that seek to increase public transport demand, ensure service quality, safety, and fares, and reduce the potential conflict between all three