Development of a temporal and spatial linkage between transit demand and landuse patterns

Sang Gu Lee, Mark Hickman, Daoqin Tong

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

We are exploring ways to capture the temporal and spatial dimensions of the use of public transit. Specifically, we are investigating how different land uses affect the spatial and temporal demand for public transit services. Spatially, the availability of new data collection technology in public transit allows us to examine transit demand at the individual stop level. Our hypothesis, however, is that transit users' activity may not be originated from or destined to an individual stop per se; rather, the activity is associated with a specific location in the vicinity of the stop, and this location may be "covered" by several adjacent transit stops. More importantly, understanding the transit demand at this aggregate level (an aggregate "catchment" area) can enhance the ability to define a specific land-use type and the temporal characteristics related to passengers' activities. Temporally, we seek to understand the relationship between the demand for public transit service at specific times of the day and the associated land uses that may strongly influence the timing of that demand. To explore these dimensions, this study: 1) proposes a method of stop aggregation; 2) generates transit service areas based on these aggregated stops; 3) develops a set of metrics to better represent land-use types within these service areas; and 4) examines the spatial and temporal characteristics of transit demand for these service areas. These methods are applied to a case study using land-use and transit demand data from the Minneapolis-St. Paul metropolitan area.

Original languageEnglish (US)
Pages (from-to)33-46
Number of pages14
JournalJournal of Transport and Land Use
Volume6
Issue number2
DOIs
StatePublished - 2013

Fingerprint

Land use
demand
land use
Catchments
Agglomeration
Availability
aggregation
metropolitan area
agglomeration area
public
ability
service area

Keywords

  • Smart card data
  • Transit and land use
  • Transit service areas
  • Transit stop aggregation

ASJC Scopus subject areas

  • Urban Studies
  • Transportation
  • Geography, Planning and Development

Cite this

Development of a temporal and spatial linkage between transit demand and landuse patterns. / Lee, Sang Gu; Hickman, Mark; Tong, Daoqin.

In: Journal of Transport and Land Use, Vol. 6, No. 2, 2013, p. 33-46.

Research output: Contribution to journalArticle

@article{fea3aacc83474882b1a396a690976ff4,
title = "Development of a temporal and spatial linkage between transit demand and landuse patterns",
abstract = "We are exploring ways to capture the temporal and spatial dimensions of the use of public transit. Specifically, we are investigating how different land uses affect the spatial and temporal demand for public transit services. Spatially, the availability of new data collection technology in public transit allows us to examine transit demand at the individual stop level. Our hypothesis, however, is that transit users' activity may not be originated from or destined to an individual stop per se; rather, the activity is associated with a specific location in the vicinity of the stop, and this location may be {"}covered{"} by several adjacent transit stops. More importantly, understanding the transit demand at this aggregate level (an aggregate {"}catchment{"} area) can enhance the ability to define a specific land-use type and the temporal characteristics related to passengers' activities. Temporally, we seek to understand the relationship between the demand for public transit service at specific times of the day and the associated land uses that may strongly influence the timing of that demand. To explore these dimensions, this study: 1) proposes a method of stop aggregation; 2) generates transit service areas based on these aggregated stops; 3) develops a set of metrics to better represent land-use types within these service areas; and 4) examines the spatial and temporal characteristics of transit demand for these service areas. These methods are applied to a case study using land-use and transit demand data from the Minneapolis-St. Paul metropolitan area.",
keywords = "Smart card data, Transit and land use, Transit service areas, Transit stop aggregation",
author = "Lee, {Sang Gu} and Mark Hickman and Daoqin Tong",
year = "2013",
doi = "10.5198/jtlu.v6i2.268",
language = "English (US)",
volume = "6",
pages = "33--46",
journal = "Journal of Transport and Land Use",
issn = "1938-7849",
publisher = "University of Minnesota",
number = "2",

}

TY - JOUR

T1 - Development of a temporal and spatial linkage between transit demand and landuse patterns

AU - Lee, Sang Gu

AU - Hickman, Mark

AU - Tong, Daoqin

PY - 2013

Y1 - 2013

N2 - We are exploring ways to capture the temporal and spatial dimensions of the use of public transit. Specifically, we are investigating how different land uses affect the spatial and temporal demand for public transit services. Spatially, the availability of new data collection technology in public transit allows us to examine transit demand at the individual stop level. Our hypothesis, however, is that transit users' activity may not be originated from or destined to an individual stop per se; rather, the activity is associated with a specific location in the vicinity of the stop, and this location may be "covered" by several adjacent transit stops. More importantly, understanding the transit demand at this aggregate level (an aggregate "catchment" area) can enhance the ability to define a specific land-use type and the temporal characteristics related to passengers' activities. Temporally, we seek to understand the relationship between the demand for public transit service at specific times of the day and the associated land uses that may strongly influence the timing of that demand. To explore these dimensions, this study: 1) proposes a method of stop aggregation; 2) generates transit service areas based on these aggregated stops; 3) develops a set of metrics to better represent land-use types within these service areas; and 4) examines the spatial and temporal characteristics of transit demand for these service areas. These methods are applied to a case study using land-use and transit demand data from the Minneapolis-St. Paul metropolitan area.

AB - We are exploring ways to capture the temporal and spatial dimensions of the use of public transit. Specifically, we are investigating how different land uses affect the spatial and temporal demand for public transit services. Spatially, the availability of new data collection technology in public transit allows us to examine transit demand at the individual stop level. Our hypothesis, however, is that transit users' activity may not be originated from or destined to an individual stop per se; rather, the activity is associated with a specific location in the vicinity of the stop, and this location may be "covered" by several adjacent transit stops. More importantly, understanding the transit demand at this aggregate level (an aggregate "catchment" area) can enhance the ability to define a specific land-use type and the temporal characteristics related to passengers' activities. Temporally, we seek to understand the relationship between the demand for public transit service at specific times of the day and the associated land uses that may strongly influence the timing of that demand. To explore these dimensions, this study: 1) proposes a method of stop aggregation; 2) generates transit service areas based on these aggregated stops; 3) develops a set of metrics to better represent land-use types within these service areas; and 4) examines the spatial and temporal characteristics of transit demand for these service areas. These methods are applied to a case study using land-use and transit demand data from the Minneapolis-St. Paul metropolitan area.

KW - Smart card data

KW - Transit and land use

KW - Transit service areas

KW - Transit stop aggregation

UR - http://www.scopus.com/inward/record.url?scp=84881291522&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84881291522&partnerID=8YFLogxK

U2 - 10.5198/jtlu.v6i2.268

DO - 10.5198/jtlu.v6i2.268

M3 - Article

AN - SCOPUS:84881291522

VL - 6

SP - 33

EP - 46

JO - Journal of Transport and Land Use

JF - Journal of Transport and Land Use

SN - 1938-7849

IS - 2

ER -