Categorization of pedestrian level of service perceptions and accounting its response heterogeneity and latent correlation on travel decisions

Rahul, T.M.; Manoj, M.

doi:10.1016/j.tra.2020.10.011

Cited by 14 publications

(6 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…People who felt that the infrastructure for non-motorised transport is insufficient, are less likely to choose NMT. This negative influence of absence of infrastructure on NMT usage has been elicited in previous studies also Jain and Tiwari, 2016 , Makarewicz, 2018 , Rahul and Manoj, 2020 , Rahul and Verma, 2013 , Verma, 2016 . Further, respondents of occupation category 1 have a lesser utility from NMT when compared to students and free lancers.…”

Section: Resultssupporting

confidence: 64%

Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach

Aaditya

Rahul

2021

Transport Policy

View full text Add to dashboard Cite

Section: Resultssupporting

confidence: 64%

Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach

Aaditya

Rahul

2021

Transport Policy

View full text Add to dashboard Cite

“…Re-coding of the dependent variable was deemed necessary in response to these changes. The interval for LOS A-C suggests that this LOS range was acceptable to pedestrians, while the interval for LOS D-F indicates that the users were dissatisfied [9]. The recoded rating is presented in Table 6.…”

Section: Phase Iv: Assessment Of the Developed Predictive Mathematica...mentioning

confidence: 99%

“…Traditional transportation planning tends to undervalue the importance of considering walkability, precisely the qualitative characteristics of walking as perceived by pedestrians [7,8]. In fact, several studies proved that those factors could also contribute to the pedestrian level of service [8], and can actually be the key answer that may potentially encourage individuals to use it [9]. In the analysis of Amprasi et al (2022), comparing micro-simulated PLOS to user perception, the study led to an interesting result: contrary to the high level of service calculated through simulation models, a significant number of pedestrian users still feel uncomfortable and unsafe.…”

Section: Introductionmentioning

confidence: 99%

“…The results of these studies can vary among developed and developing countries as one of the general considerations is the geographic location and the perception of its constituents [9]. The Philippines, as a third-world country that focuses mainly on its developmental perspective, has been lacking published studies that tackle the significance of nonmotorized transport and its potential contribution to the national and local context.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Pedestrian Performance by Integrating both Quantitative and Qualitative Factors

Meneses

Buluran²

2022

Civ Eng J

View full text Add to dashboard Cite

The importance of non-motorized movements, explicitly walking, and its corresponding impact on social, economic, and environmental aspects has always been overlooked due to the convenience brought by motorized vehicles. An automobile-dependent society mirrors the rise and worsening of several transportation problems, such as road-wide traffic congestion, massive fuel consumption, and excessive CO2emissions. In response to these aggravating situations and in support of various national and international calls, the main objective of this study was to extract the significant factors influencing the pedestrian level of service and walkability and to subsequently develop a predictive mathematical model for evaluating pedestrian conditions. Factors influencing the pedestrian level of service and walkability were initially identified through an extensive review and evaluation of existing studies, literature, and other relevant resources. A cause-and-effect analysis was used to develop an Ishikawa Diagram tackling pedestrian performance. The finalized factors were incorporated into the development of the Pedestrian Performance Assessment Questionnaire (PPAQ), which was utilized for data acquisition. Survey responses were then subjected to factor analysis after satisfying several tests for assumptions and suitability to extract the root causes influencing pedestrian performance. The validated root causes were then integrated to form the Pedestrian Performance Audit Tool (PPAT), a tool used in evaluating pedestrian areas in Tarlac City, Philippines. Data was analyzed through ordinal regression analysis to develop the multi-objective pedestrian performance prediction model. Results showed that there are six critical predictors of pedestrian performance unified in the final mathematical model: Pedestrian Space (PS), Official’s Intervention (OI), Ambiance (A), Vibrance (V), Street Vendors (SV), and Trash Bins (TB), and is the most significant contribution of the study. The model's validity was ascertained through a confusion matrix, which resulted in an acceptable rating. The comparison between calculated and perceived values together with the use of odds ratios served as the basis for the interpretation of some of the key results and findings. Finally, recommendations were also presented which can be a basis for the development of sustainable programs and interventions for the improvement of the pedestrian system. Doi: 10.28991/CEJ-2022-08-06-02 Full Text: PDF

show abstract

“…A wide range of literature is available which attempt to provide guidelines for LOS assessment of pedestrian facilities [1,15,[16][17][18][19]. Researchers have focused on providing separate LOS assessment guidelines for sidewalks [20], mid-block crossings [16] and for pedestrian movements along the carriageway where well defined pedestrian facilities are not available [20].…”

Section: Introductionmentioning

confidence: 99%

Factor Structure Analysis for Pedestrian Level of Service Assessment using Structural Equation Modelling

Ujjwal¹

2021

TURCOMAT

View full text Add to dashboard Cite

Pedestrian facilities are aimed at providing proper walking infrastructure and environment to promote walking in cities and needs to serve the desired requirements of users. It is important to assess the level of service (LOS) provided by such facilities. Various guidelines are available for assessing LOS of sidewalks, midblock crossings and pedestrians walking along the carriageway. However, the guidelines and factors considered for assessment are diverse and no single guideline is available that comprehensively takes into account all variables relevant for both sidewalks and crossings and for mixed land use settings. This work thus attempts to identify factors and their underlying variables and also the relative importance of the factors in determining LOS of pedestrian facilities in mixed land use areas. For this purpose, the study systematically identifies a comprehensive list of 20 important variables associated with LOS assessment for pedestrian facilities from literature. A survey was conducted of a heterogeneous group of 720 pedestrians from Patna, India to find importance perceptions of all the above identified variables. The important factors and their significant underlying variables were then identified using Exploratory Factor Analysis and the factor structure was confirmed using Structural Equation Model using survey data. Five factors namely Infrastructure, Crossing issues, Security, Sidewalk encroachments and Safety were identified with 13 significant underlying variables. It was observed that the crossing facility conditions predominantly influence the perception of LOS of pedestrian facilities. The findings of the study can be used by urban planners in focusing their improvement efforts for pedestrian facilities.

show abstract

Categorization of pedestrian level of service perceptions and accounting its response heterogeneity and latent correlation on travel decisions

Cited by 14 publications

References 45 publications

Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach

Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach

Analysis of Pedestrian Performance by Integrating both Quantitative and Qualitative Factors

Factor Structure Analysis for Pedestrian Level of Service Assessment using Structural Equation Modelling

Contact Info

Product

Resources

About