A Systematic Review on Scheduling Public Transport Using IoT as Tool

Author(s):  
Dharti Patel ◽  
Zunnun Narmawala ◽  
Sudeep Tanwar ◽  
Pradeep Kumar Singh
2020 ◽  
Author(s):  
Fei Xu ◽  
Lingling Jin ◽  
Zhenzhen Qin ◽  
Xiang Chen ◽  
Zhen Xu ◽  
...  

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Antonina Tcymbal ◽  
Yolanda Demetriou ◽  
Anne Kelso ◽  
Laura Wolbring ◽  
Kathrin Wunsch ◽  
...  

Abstract Background Individual health behavior is related to environmental and social structures. To promote physical activity (PA) effectively, it is necessary to consider structural influences. Previous research has shown the relevance of the built environment. However, sex/gender differences have yet not been considered. The aim of this systematic review was to identify built environmental determinants of PA by taking sex/gender into account. Methods A systematic literature search was carried out using six electronic databases (PubMed, CINAHL, SportDiscus, PsycInfo, Scopus, Web of Knowledge) to identify studies analyzing the effect of changes in the built environment on PA, taking sex/gender into account. To be included, studies had to be based on quantitative data and a longitudinal study design. Changes in the built environment had to be objectively assessed. The methodological quality of the studies was examined using the QualSyst tool for examining risk of bias. Results In total, 36 studies published since 2000 were included in this review. The data synthesis revealed that the majority of reviewed studies found the built environment to be a determinant of PA behavior for both, males and females, in a similar way. Creating a new infrastructure for walking, cycling, and public transportation showed a positive effect on PA behavior. Findings were most consistent for the availability of public transport, which was positively associated with overall PA and walking. The improvement of walking and cycling infrastructure had no effect on the overall level of PA, but it attracted more users and had a positive effect on active transportation. In women, the availability of public transport, safe cycling lanes, housing density, and the distance to daily destinations proved to be more relevant with regard to their PA behavior. In men, street network characteristics and road environment, such as intersection connectivity, local road density, and the presence of dead-end roads, were more important determinants of PA. Conclusion This review sheds light on the relevance of the built environment on PA. By focusing on sex/gender differences, a new aspect was addressed that should be further analyzed in future research and considered by urban planners and other practitioners.


Author(s):  
Carolyn Unsworth ◽  
Man Hei So ◽  
Julian Chua ◽  
Prasad Gudimetla ◽  
Anjum Naweed

2019 ◽  
Vol 14 (2) ◽  
pp. 325-344
Author(s):  
Sarah H. Norgate ◽  
A. M. Cooper-Ryan ◽  
S. Lavin ◽  
C. Stonier ◽  
C. L. Cooper

2019 ◽  
Vol 99 (4) ◽  
pp. 601-619 ◽  
Author(s):  
Khatun E Zannat ◽  
Charisma F. Choudhury

Abstract The rapid advancement of information and communication technology has brought a revolution in the domain of public transport (PT) planning alongside other areas of transport planning and operations. Of particular significance are the passively generated big data sources (e.g., smart cards, detailed vehicle location data, mobile phone traces, social media) which have started replacing the traditional surveys conducted onboard, at the stops/stations and/or at the household level for gathering insights about the behavior of the PT users. This paper presents a systematic review of the contemporary research papers related to the use of novel data sources in PT planning with particular focus on (1) assessing the usability and potential strengths and weaknesses of different emerging big data sources, (2) identifying the challenges and highlighting research gaps. Reviewed articles were categorized based on qualitative pattern matching (similarities/dissimilarities) and multiple sources of evidence analysis under three categories—use of big data in (1) travel pattern analysis, (2) PT modelling, and (3) PT performance assessment. The review revealed research gaps ranging from methodological and applied research on fusing different forms of big data as well as big data and traditional survey data; further work to validate the models and assumptions; lack of progress on developing more dynamic planning models. Findings of this study could inform transport planners and researchers about the opportunities/challenges big data bring for PT planning. Harnessing the full potential of the big data sources for PT planning can be extremely useful for cities in the developing world, where the PT landscape is changing more rapidly, but traditional forms of data are expensive to collect.


2021 ◽  
Vol 4 (6) ◽  
pp. 01-06
Author(s):  
Margarita Juàrez-Nàjera ◽  
Jorge Hernàndez-Valdès ◽  
Gilberto Bermùdez-Ruìz ◽  
Francisco Espinoza-Morales ◽  
Cruz Garcìa-Lirios

Objective: of this study was to carry out a systematic review of the literature to reveal the policies of metropolitan mobility and peri-urban health, focusing the discussion on the effects of public transport safety on the health of users. Methodology: A documentary, retrospective and meta-analytic study was carried out with a non-probabilistic selection of indexed sources published from 2010 to 2020 and search with the key words. Results: Prevalence of data that sustain the non-exposure to risk events derived from mobility policies in public transport safety and the health of users. Discussion: Political comparisons reveal the prevention of the effects of risk events on the health of users. Conclusion: Mobility policies, focused on the effects of transport safety on the health of users, do not recognize the risks of exposure or the short, medium and long-term consequences.


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