Quantifying performance of sheltered link-way facility in Singapore using human-centric indicators

Sun, Shanshan; Zhou, Qingji; Lal, Srishti; Xu, Hang; Goh, Khim Yong; Wong, Yiik Diew

doi:10.1080/19463138.2020.1858422

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…Providing elements such as shading devices through walkways, which ensure physical comfort could encourage active transportation (Sun et al, 2020) beyond providing safety. It leads to reduction of motor vehicular functions and thereby energy consumption, increases human health and safety, and contribute in achieving many other sustainability goals (World Health Organisation, 2017).…”

Section: Significance Of Physical Safety and Comfort Within The Inter...mentioning

confidence: 99%

A review on prioritizing physical safety and comfort in urban sustainability assessment tools to effectively control accidents in streets of Colombo

Kumaraguruparan

Wijesundara

Weerasinghe

2022

FARU J.

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The concept of sustainability has evolved since its initial definition by the Brundtland commission in 1987, and become comprehensive over time with inclusion of well-defined social, environmental and economic aspects. In order to understand the progress of sustainability, and facilitate decision making, various sustainability assessment tools were established. Today it has become necessary to include safety and comfort as criteria of such sustainability assessment tools, considering the high number of accidents and crimes taking place in urban contexts despite all the legal reforms made through several years to control user mis-behaviours. A high number of road accidents are recorded in Colombo as per the report issued by the Sri Lanka Department of Census and Statistics. This is primarily due to lack of obligation to enforce physical safety and comfort aspects. Establishing physically safe and comfort streets could contribute to prevent as well as reduce accidents by spontaneously directing users in the right way. Therefore, considering sustainability principles, and sustainability rating, being a well-established universal quality assessment, it is important to incorporate physical safety and comfort as a criteria of sustainability rating of urban streets. The review is done by initially defining sustainability through literature review, identifying the research gap on physical safety and comfort using VOSviewer software, and assessing the significance of safety and comfort in assessing urban streets using available online data. It is identified that physical safety and comfort is not included in most of the sustainability assessment tools. It is suggested that inclusion of these criterion could contribute in effectively reducing the street accidents. Summary of this review could contribute in further research based on sustainability tool criteria assessments.

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Section: Significance Of Physical Safety and Comfort Within The Inter...mentioning

confidence: 99%

A review on prioritizing physical safety and comfort in urban sustainability assessment tools to effectively control accidents in streets of Colombo

Kumaraguruparan

Wijesundara

Weerasinghe

2022

FARU J.

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“…Environmental Factors affect perceived walking distance. For example, Sun [26] experimentally demonstrated that pedestrians are more likely to overestimate walking distances on routes without sheltered walkways. Similarly, Iosa's study [27] pointed out that there are differences in distance estimation between indoors (single-level) and outdoors environments, with people more likely to underestimate distance in indoor environments.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Passengers’ Perceived Transfer Distance in Urban Rail Transit Stations Using XGBoost and SHAP

Mao

Huang

et al. 2023

Sustainability

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Providing high-quality public transport services and enhancing passenger experiences require efficient urban rail transit connectivity; however, passengers’ perceived transfer distance at urban rail transit stations may differ from the actual transfer distance, resulting in inconvenience and dissatisfaction. To address this issue, this study proposed a novel machine learning framework that measured the perceived transfer distance in urban rail transit stations and analyzed the significance of each influencing factor. The framework introduced the Ratio of Perceived Transfer Distance Deviation (R), which was evaluated using advanced XGBoost and SHAP models. To accurately evaluate R, the proposed framework considered 32 indexes related to passenger personal attributes, transfer facilities, and transfer environment. The study results indicated that the framework based on XGBoost and SHAP models can effectively measure the R of urban rail transit passengers. Key factors that affected R included the Rationality of Signs and Markings, Ratio of Escalators Length, Rationality of Traffic Organization outside The Station, Ratio of Stairs Length, and Degree of Congestion on Passageways. These findings can provide valuable theoretical references for designing transfer facilities and improving transfer service levels in urban rail transit stations.

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“…One of these infrastructures is facilities for pedestrians. In a city layout, one critical element is all complete buildings provided for pedestrians to provide smoothness, security, comfort, and safety for pedestrians (Sun et al, 2021). Pedestrian facilities are all infrastructure and facilities provided for pedestrians to increase the smoothness, security, comfort, and safety of their users.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying performance of sheltered link-way facility in Singapore using human-centric indicators

Cited by 7 publications

References 28 publications

A review on prioritizing physical safety and comfort in urban sustainability assessment tools to effectively control accidents in streets of Colombo

A review on prioritizing physical safety and comfort in urban sustainability assessment tools to effectively control accidents in streets of Colombo

Investigation of Passengers’ Perceived Transfer Distance in Urban Rail Transit Stations Using XGBoost and SHAP

Table_1.DOCX

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