ArticleScientific reports2022
Promoting pedestrian ecomobility in Riyadh City for sustainable urban development.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- National Heart Center/Saudi Heart Association 2025 Guidelines for Cardiovascular Diseases Prevention and Risk Assessment.Saudi medical journal · 2026Guideline
- Examining factors contributing to mortality in Saudi Arabia: proposing effective healthcare management approaches.BMC public health · 2025Article
- Physical Inactivity and Cardiovascular Health in Aging Populations: Epidemiological Evidence and Policy Implications from Riyadh, Saudi Arabia.Life (Basel, Switzerland) · 2025Article
- Cardiovascular Disease in Saudi Arabia: Facts and the Way Forward.Journal of the Saudi Heart Association · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the world is giving climate change a higher priority, several Coalitions are working on meeting a clean and green environment (SDG 13), focusing on new streets' design in total urban development. A previous study discussed the pedestrian mobility status in Riyadh city, with attention to sustainable mobility, considering the pedestrians' traveling patterns that use their cars rather than public transportation. This paper investigates the Ecomobility that seeks to promote the integration of passenging, cycling, wheeling, and walking. This approach will provide better health (SDG 3), clean air, mobility and accessibility, noise avoidance, greenhouse gas emission reduction, individual cost savings, and energy efficiency (SDG 11). It analyzes the pedestrians' traveling modes in Riyadh city through a case study of the Prince Sultan University's (PSU) community, then evaluates the pedestrians' environment quality in the campus surroundings. Analysis used a web-based survey referred to the PSU people, including Students, Faculty, and Staff. On the other hand, the pedestrian's environment quality was evaluated on-site built on well-constructed criteria. The assessment's results addressed the factors influencing pedestrian choices and underlined the barriers to transformation to Ecomobility. They revealed that around 73% of the respondents expressed willingness to transform to ecomobility modes. About 52% of the survey sample preferred the public bus option. For the non-motorized options, students preferred cycling and wheeling modes, while faculty members and staff preferred walking. Based on conclusions, recommendations are proposed to foster pedestrian ecomobility for sustainable urban development in Riyadh city.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.