How to commute to Shell Shaw/Mabini from National Book Store Binondo?

Last Updated on October 3, 2023

Get to Shell Shaw/Mabini from National Book Store Binondo via JEEP

Public Transport Guide

  1. Walk

    Distance 362 m

    1. DEPART on to Lucky Chinatown Walk
    2. CONTINUE on to path
    3. LEFT on to service road
    4. CONTINUE on to Reina Regente Street
    5. RIGHT on to Soler Street
    6. LEFT on to Sanchez Street
    7. LEFT on to C. M. Recto Avenue
  2. JEEP

    Ride T3184: Divisoria-Punta via Sta Mesa

    From: Reina Regente

    To: Jollbee Kalentong

    Fare: ₱17.5

    Provider: LTFRB Service Contracting (PUJ)

  3. Walk

    Distance 40 m

    1. DEPART on to Shaw Boulevard
  4. JEEP

    Ride T3147: EDSA/Shaw Central-Kalentong/JRC

    From: Kalentong/Shaw Blvd., Mandaluyong City

    To: Shaw Blvd. cor. A. Mabini, Mandaluyong City

    Fare: ₱12

    Provider: LTFRB Service Contracting (PUJ)

  5. Walk

    Distance 34 m

    1. DEPART on to Shaw Boulevard
    2. RIGHT on to service road

National Book Store Binondo

About National Book Store Binondo

National Book Store Binondo is located at 2/F Lucky Chinatown Mall, at Reina Regente cor. Dela Reina Streets of Binondo, in the City of Manila. The mall is accessible by jeepneys from the nearby C. M. Recto Avenue, Abad Santos Avenue, and Padre Burgos Avenue.

Content by Wikipedia and OpenAI

Shell Shaw/Mabini

About Shell Shaw/Mabini

The Shell station at Shaw Boulevard, located at the intersection with A. Mabini Street in Mandaluyong, provides a convenient refueling and retail stopover in the bustling Wack Wack area. Directly opposite Mandala Park and Puregold supermarket, it offers easy access for errands and grocery runs. A BPI branch within Mandala Park makes it handy for quick banking tasks. Alongside its fuel services, the station features a convenience store for those last-minute travel essentials. For commuters, the area is well-connected via local jeepneys and buses that frequently ply the Shaw Boulevard route.

Content by Wikipedia and OpenAI
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