Determinants of commute time in an Indian city (Record no. 520514)

000 -LEADER
fixed length control field 01943nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220919b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sridhar, Kala Seetharam and Nayka, Shivakumar
245 ## - TITLE STATEMENT
Title Determinants of commute time in an Indian city
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Margin: The Journal of Applied Economic Research
300 ## - PHYSICAL DESCRIPTION
Extent 16(1), Feb, 2022: p.49-75
520 ## - SUMMARY, ETC.
Summary, etc Given the conspicuous lack of adequate research on commute time in the Indian intra-urban context, the research questions we answer in this article are: what is the average commute time to work for residents? What does this imply for the city’s effective labour market? What are the determinants of commute time to work? This article studies the questions for a large Indian city, known for its traffic gridlocks. Given that published data on journey-to-work is not readily available for Indian cities, we report findings from primary surveys of commuters travelling to work in Bengaluru. The actual time taken by commuters to reach their workplace is 42.45 minutes one-way, implying an insignificant reduction in the city’s effective labour market since 2001. We use geographic information systems to map the sectoral flow of workers and their origins and destinations within the city. Estimating regressions of the determinants of commute time, we find that workers in government jobs travel longer to get to work, elevation has a negative effect on commute time, and commute distance positively impacts travel time. The contribution of the article is the report of an Indian city’s commute time and its determinants, which can be used to influence policy. – Reproduced


650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Intra-urban mobility-Indian cities, Commuting time-Bangalore, Indian cities-labour markets, Urban transport-GIS, Bengalore-effective labour market.
9 (RLIN) 33219
773 ## - HOST ITEM ENTRY
Main entry heading Margin: The Journal of Applied Economic Research
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP URBAN TRANSPORT
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2022-09-19 16(1), Feb, 2022: p.49-75 AR127099 2022-09-19 Articles

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