Public transport for smart cities: Recent innovations and future challenges

Kuo, Yong-Hong; Leung, Janny; Yan, Yimo

doi:10.1016/j.ejor.2022.06.057

Cited by 71 publications

(18 citation statements)

References 232 publications

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“…Taking this topic of research from the perspective of intelligent cities is very important because the human factor is one of the foundations of the concept of an intelligent city [16]. What is more, it is indicated that in smart cities all attempts should be made to abandon access restrictions in the transport of people [16][17][18][19][20][21][22]. Based on these assumptions, the article presents the results of the author's own research on the perception of shared mobility systems in Europe.…”

Section: Introductionmentioning

confidence: 99%

Complaints Analysis as an Opportunity to Counteract Social Transport Exclusion in Shared Mobility Systems

Turoń

2022

Smart Cities

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Modern cities are associated with efficient transportation, including modern transportation solutions that reflect the trend towards sustainable development. These solutions, for example, are shared mobility services, which have gained popularity in recent years. The systems present in the markets, as well as each transport service, aimed at meeting the transport needs of the society, are also associated with the occurrence of many problems. Many of the problems can turn into transport barriers and have a real impact on the quality of transport services and the life of society in the city. To check whether transport problems occurring in shared mobility may translate into transport exclusion, the author’s own research was proposed. The aim of the study was to analyze the public negative opinions of the shared mobility services and to determine the existence of their connection with the main areas of the phenomenon of transport exclusion. The Desk Research method was used for the study, due to which 1500 opinions and complaints regarding 60 bike-, car-, and scooter-sharing applications operating in six European countries were analyzed. As a result of the research, it was shown that in all types of shared mobility, there are barriers that users complain about. These barriers are connected to the main transport social exclusion aspects indicated in the Church’s method framework. The leading areas of grievance are the system infrastructure and operational aspects. The mobile applications used to run the systems turned out to be the least problematic. Based on the results obtained, recommendations for the elimination of transportation social barriers were developed. The work supports municipalities and operators who wish to reduce the problems associated with shared mobility systems in cities.

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Section: Introductionmentioning

confidence: 99%

Complaints Analysis as an Opportunity to Counteract Social Transport Exclusion in Shared Mobility Systems

Turoń

2022

Smart Cities

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“…In most cases, smart cities are materialized through projects within application areas [8]. Such application areas can be smart traffic [9], smart parking [10], smart public transport [11], smart waste handling [12], smart safety and security [13], and smart energy, as shown in Figure 2.…”

Section: Smart Cities and Smart Energymentioning

confidence: 99%

The Role of Aggregators in Smart Grids

Berntzen¹,

Meng²

2023

Sustainable Smart Cities - A Vision for Tomorrow

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Sustainable smart cities need to focus on energy production and use. By installing solar panels, prosumers may contribute to the energy production in the city. The use of solar panels is particularly relevant to free-standing residential buildings. Prosumers may also trade flexibility, the ability to shift energy use to periods when the total energy consumption is lower. Prosumers may also store energy for future sale or consumption. An aggregator is a new role connecting prosumers with energy providers. The aggregator negotiates terms, provides flexibility on behalf of its prosumers, and may even provide energy storage capabilities. This chapter describes the evolving role of aggregators and their possible business models. The aggregators will contribute to smarter energy production and use in smart cities.

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“…With data driven technology available today, actionable planning can be made using insights that can be produced from voluminous space-time data from available technology such as automated number plate recognition system [46], smartcards [9,47], Radio Frequency Identification (RFID) technology [48], and other readily available sensors [15,49]. Hence, all these user generated data can be an advantage for urban planners and related policy makers.…”

Section: Urban Analytics and Spatial-temporal Analysismentioning

confidence: 99%

Conceptual Framework for Maximizing Service Catchment Area Between Rail Transit and Feeder Service Using Spatial Temporal Regression Technique

Halim,

Rosni,

Tsong

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The move towards a more sustainable transport mode is crucial in the Klang Valley by incorporating feeder services to rail network stations. Feeder services will complement the expanding rail transits network and deliver connectivity for areas not covered within rail stations. Past literatures found that feeder services were ineffective during rail breakdown as feeder service was not going or stopping to where it was intended to. Feeder service can be allocated more effectively if we have better idea of targeted service area. Urban planners now have access to a variety of urban analytics because of technological advancements and the rise of smart cities. Data generated are produced across numerous locations and at diverse time scales, providing a significant possibility for data mining to uncover insightful information when both space and time are considered. This study will attempt to assess the community’s accessibility to rail transit through feeder service in Klang Valley. In achieving this a conceptual framework is developed within the objectives of this study which are firstly, to identify built environment factors that influence ridership around transit stations. Secondly, to determine the spatial -temporal relationship between built environment and transit ridership of feeder service and rail transits. Next, the station-level spatial and temporal variability of ridership data between feeder service to rail network is examined. Finally, as the main finding of this study, a framework in maximizing a service catchment transportation service for feeder service and rail transit will be developed. In doing that, the conceptual framework approach is by addressing numerical analytical technique in geographic data, by using spatial temporal regression. This study aspires to provide planning departments and transit agencies with useful guidance to execute targeted policies and develop a sustainable and efficient feeder service coverage area to support rail transits by looking at both spatial and temporal scales.

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Public transport for smart cities: Recent innovations and future challenges

Cited by 71 publications

References 232 publications

Complaints Analysis as an Opportunity to Counteract Social Transport Exclusion in Shared Mobility Systems

Complaints Analysis as an Opportunity to Counteract Social Transport Exclusion in Shared Mobility Systems

The Role of Aggregators in Smart Grids

Conceptual Framework for Maximizing Service Catchment Area Between Rail Transit and Feeder Service Using Spatial Temporal Regression Technique

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