Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda

R Nishant, M Kennedy, J Corbett - International Journal of Information …, 2020 - Elsevier
Artificial intelligence (AI) will transform business practices and industries and has the
potential to address major societal problems, including sustainability. Degradation of the …

Platform urbanism: Technocapitalist production of private and public spaces

S Bauriedl, A Strüver - Urban Planning, 2020 - ssoar.info
Digital technologies and services are increasingly used to meet a wide range of urban
challenges. These developments bear the risk that the urban digital transformation will …

The actual demand behind demand-responsive transport: Assessing behavioral intention to use DRT systems in two rural areas in Germany

A König, J Grippenkoven - Case Studies on Transport Policy, 2020 - Elsevier
Despite the potential capability of demand-responsive transport systems (DRT) to improve
service quality of public transport in rural areas, existing DRT systems in Germany are often …

[HTML][HTML] Influential factors affecting travelers' mode choice behavior on mass transit in Bangkok, Thailand

P Witchayaphong, S Pravinvongvuth, K Kanitpong… - Sustainability, 2020 - mdpi.com
Increasing use of single or fewer occupant vehicles has increased traffic congestion and
transport-related emissions. Public transport as mass transit options are increasingly being …

[HTML][HTML] An agent-based simulation approach for evaluating the performance of on-demand bus services

S Liyanage, H Dia - Sustainability, 2020 - mdpi.com
On-demand multi-passenger shared transport options are increasingly being promoted as
an influential strategy to reduce traffic congestion and emissions and improve the …

[HTML][HTML] On-demand flexible transit in fast-growing cities: The case of Dubai

N Giuffrida, M Le Pira, G Inturri, M Ignaccolo, G Calabrò… - Sustainability, 2020 - mdpi.com
Increase in city population and size leads to growing transport demand and heterogeneous
mobility habits. In turn, this may result in economic and social inequalities within the context …

Comparing the performance of demand responsive and schedule-based feeder services of mass rapid transit: an agent-based simulation approach

G Calabrò, G Correia, N Giuffrida… - 2020 Forum on …, 2020 - ieeexplore.ieee.org
This paper presents a new agent-based model able to simulate innovative flexible demand
responsive transport services, specifically thought to solve the last-mile problem of mass …

[HTML][HTML] Predicting car availability in free floating car sharing systems: Leveraging machine learning in challenging contexts

E Daraio, L Cagliero, S Chiusano, P Garza, D Giordano - Electronics, 2020 - mdpi.com
Free-Floating Car Sharing (FFCS) services are currently available in tens of cities and
countries spread all over the worlds. Depending on citizens' habits, service policies, and …

The relationship between the concepts of sharing economy and smart cities: the case of shared mobility and smart transport

A Koźlak - International Journal of Sustainable Society, 2020 - inderscienceonline.com
The sharing economy and smart city concepts have been growing in importance in the
research activities worldwide. The main purpose of the article is to explore the interactions …

[HTML][HTML] The Business Case for a Journey Planning and Ticketing App—Comparison between a Simulation Analysis and Real-World Data

G Harrison, A Gühnemann, S Shepherd - Sustainability, 2020 - mdpi.com
Successful development of “Mobility-as-a-Service”(MaaS) schemes could be transformative
to our transport systems and critical for achieving sustainable cities. There are high hopes …