<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The BLUE line of Delhi Metro (DM) has been examined to identify the post COVID-19 access–egress attributes of users. An on-board survey of metro commuters is conducted in February and March 2021. The respondents reported six different modes for access and egress trips to nearest metro stations with 38.7% and 43% users opting for walking for access-egress trip respectively. The E-rickshaw is observed to be most preferred para-transit mode whereas private vehicle has small mode share for access-egress trip. It is revealed that 46.5% of respondents are captive riders whereas 51% owns at least one motorized private vehicle. The average access and egress distance covered by walking is (0.81+ 0.32/0.35) Km respectively. The average access and egress trip time by walking is (11.19+3.73) and (11.07+4.45) minutes respectively. The average access and egress trip time by E-rickshaw is (13.21+4.09) and (12.56+2.95) minutes respectively. The access and egress trip time by motorized modes are in the range of (12.36-14.39) and (10.41-13.56) minutes respectively. The average main haul distance across all access-egress modes is observed to be (19.69+11.19) Km. To understand the factors influencing the access–egress mode choice multinomial logistic (MNL) regression models are proposed. The access-egress time and distance are observed to be significant factors in access-egress mode choice. Less parking facility offered by DM is significant factor in access mode choice. Occasional commuters are only significant factor in context with frequency of travelling in DM.</p>
</abstract>

The BLUE line of Delhi Metro (DM) has been examined to identify the post COVID-19 access–egress attributes of users. An on-board survey of metro commuters is conducted in February and March 2021. The respondents reported six different modes for access and egress trips to nearest metro stations with 38.7% and 43% users opting for walking for access-egress trip respectively. The E-rickshaw is observed to be most preferred para-transit mode whereas private vehicle has small mode share for access-egress trip. It is revealed that 46.5% of respondents are captive riders whereas 51% owns at least one motorized private vehicle. The average access and egress distance covered by walking is (0.81+ 0.32/0.35) Km respectively. The average access and egress trip time by walking is (11.19+3.73) and (11.07+4.45) minutes respectively. The average access and egress trip time by E-rickshaw is (13.21+4.09) and (12.56+2.95) minutes respectively. The access and egress trip time by motorized modes are in the range of (12.36-14.39) and (10.41-13.56) minutes respectively. The average main haul distance across all access-egress modes is observed to be (19.69+11.19) Km. To understand the factors influencing the access–egress mode choice multinomial logistic (MNL) regression models are proposed. The access-egress time and distance are observed to be significant factors in access-egress mode choice. Less parking facility offered by DM is significant factor in access mode choice. Occasional commuters are only significant factor in context with frequency of travelling in DM.

Post COVID-19 Access-Egress Attributes for Urban Metro Transit Users in Delhi

Department of Civil Engineering, Faculty of Engineering and Technology

Journal of Applied Engineering Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Post COVID-19 Access-Egress Attributes for Urban Metro Transit Users in Delhi"}

The BLUE line of Delhi Metro (DM) has been examined to identify the post COVID-19 access–egress attributes of users. An on-board survey of metro commuters is...

Post COVID-19 Access-Egress Attributes for Urban Metro Transit Users in Delhi

Publicado en línea: 19 may 2022

Páginas: 53 - 60

Recibido: 28 ene 2022

Aceptado: 16 feb 2022

DOI: https://doi.org/10.2478/jaes-2022-0009

Palabras clave
Access-Egress Mode Choice, Motorized-Nonmotorized Modes, Main Haul Time & Distance, Multinomial Logistic Regression, Urban Metro Transit System, Delhi Metro

© 2022 Salman Khursheed et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Post COVID-19 Access-Egress Attributes for Urban Metro Transit Users in Delhi

Publicado en línea: 19 may 2022

Páginas: 53 - 60

Recibido: 28 ene 2022

Aceptado: 16 feb 2022

DOI: https://doi.org/10.2478/jaes-2022-0009

Palabras claveAccess-Egress Mode Choice, Motorized-Nonmotorized Modes, Main Haul Time & Distance, Multinomial Logistic Regression, Urban Metro Transit System, Delhi Metro

© 2022 Salman Khursheed et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
Access-Egress Mode Choice, Motorized-Nonmotorized Modes, Main Haul Time & Distance, Multinomial Logistic Regression, Urban Metro Transit System, Delhi Metro