Examining the Adoption of Sustainable eMobility-Sharing in Smart Communities: Diffusion of Innovation Theory Perspective

Abstract

The transport sector is undergoing disruption due to trends such as tightening environmental targets, digitalization, and servitization, contributing to low-carbon mobility and offering citizen-oriented services. As a response, various initiatives, such as electric mobility (eMobility), have emerged that promote sustainable road transport and active mobility in the last few years. However, irrespective of the potential of eMobility, there are still few studies that examine individuals’ intention and adoption of eMobility-sharing services in smart communities. Accordingly, this study aims to develop a model grounded on the Diffusion of Innovation (DoI) theory to investigate the factors that impact individuals’ adoption of eMobility-sharing service and how to improve the adoption of eMobility-sharing service. A mixed-mode methodology was employed; quantitative data from survey questionnaires were used to gather data, and Statistical Package for Social Science (SPSS) was used to analyze the data. Additionally, qualitative data via interview was collected to demonstrate in ArchiMate modeling language how eMobility-sharing services are practically implemented as a use case study within smart communities. Findings from this study offer a model that focuses on eMobility-sharing adoption from the perspective of smart communities. Additionally, the findings offer a better understanding of how such integrated, multimodal systems fit with the sustainable mobility needs of citizens. More importantly, general recommendations to policymakers and practitioners to increase the uptake of shared eMobility are provided.

The Implications of a Co-Created Software Solution for Mobility in Rural Areas

“…Overcoming these fears and building trust is crucial for successful implementation. In addition, the county's sparse population remains a significant challenge to achieving critical mass [24].…”

“…In addition, existing transport systems are failing to meet climate targets, highlighting the urgency for action [23][24][25]. Low car occupancy rates [26] (p. 233), coupled with the increasing size and cost of cars, exacerbate the problem.…”

“…While organized ridesharing offers potential benefits for enhancing rural mobility, it continues to face challenges related to safety, security, and limited accessibility due to sparse population densities [24,35]. Furthermore, rapid access to transportation during emergencies is crucial for those residing in rural areas; hence, personal mobility is highly favored by the majority of individuals in these areas [34].…”

Influencing factors and realization paths for smart community construction in China

“…Moreover, these smart communities fulfill multifaceted roles, during the spread of COVID-19, there was a significant reduction in the chance of population cross-infection [17][18][19][20], and offering residents a diverse array of smart services [21], such as a smart home, smart healthcare, smart security, and a smart government [22]. Based on this, many scholars have explored related fields such as smart transportation [23], such as electric mobility (eMobility) [24], and smart grid [25] etc, which provide useful references for us to carry out research on smart community construction.…”

Impact of Large-Scale Electric Vehicles’ Promotion in Thailand Considering Energy Mix, Peak Load, and Greenhouse Gas Emissions

“…A substantial infrastructure investment would be needed if there is excessive demand from EV charging. Moreover, the article [41] examined how EV adoption can foster the development of sustainable communities. Similar analyses in Thailand are vital for evaluating existing policies, formulating new ones if needed, and assessing electrical demand and peak load variations with varying EV penetration.…”