Abstract
This paper contributes to address this challenge. First, the study systematically selects 23 transport impact indicators through a review of 62 indicators identified from the literature. Second, it evaluates and classifies their suitability in terms of space–time dyads through a two-round of Delphi survey involving 29 international experts. The experts reached a consensus that 12 (52%) indicators
are suitable in various space–time dyadic combinations. Only “travel time” was identified as a suitable indicator for all three spatial (local, city, region) and two temporal (short-, long-term) scales. The findings serve as a guide for decision makers, transport modelers and planners to adopt indicators according to their scale of operation, and thus simplify the daunting task of suitable indicator selection process.
| Original language | English |
|---|---|
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | International Journal of Sustainable Transportation |
| DOIs | |
| Publication status | Published - 2018 |
Cite this
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What to assess to model the transport impacts of urban growth? A Delphi approach to examine the space-time suitability of transport indicators. / Perveen, Sajida; Kamruzzaman, Md; Yigitcanlar, Tan.
In: International Journal of Sustainable Transportation, 2018, p. 1-17.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - What to assess to model the transport impacts of urban growth? A Delphi approach to examine the space-time suitability of transport indicators
AU - Perveen, Sajida
AU - Kamruzzaman, Md
AU - Yigitcanlar, Tan
PY - 2018
Y1 - 2018
N2 - Selection of right transport impact indicators of urban growth is challenging because the impacts vary both geographically and temporally. For example, congestion might be a problem in innercity areas in a short-term but might not be detectable in a regional context event in the long-run.This paper contributes to address this challenge. First, the study systematically selects 23 transport impact indicators through a review of 62 indicators identified from the literature. Second, it evaluates and classifies their suitability in terms of space–time dyads through a two-round of Delphi survey involving 29 international experts. The experts reached a consensus that 12 (52%) indicatorsare suitable in various space–time dyadic combinations. Only “travel time” was identified as a suitable indicator for all three spatial (local, city, region) and two temporal (short-, long-term) scales. The findings serve as a guide for decision makers, transport modelers and planners to adopt indicators according to their scale of operation, and thus simplify the daunting task of suitable indicator selection process.
AB - Selection of right transport impact indicators of urban growth is challenging because the impacts vary both geographically and temporally. For example, congestion might be a problem in innercity areas in a short-term but might not be detectable in a regional context event in the long-run.This paper contributes to address this challenge. First, the study systematically selects 23 transport impact indicators through a review of 62 indicators identified from the literature. Second, it evaluates and classifies their suitability in terms of space–time dyads through a two-round of Delphi survey involving 29 international experts. The experts reached a consensus that 12 (52%) indicatorsare suitable in various space–time dyadic combinations. Only “travel time” was identified as a suitable indicator for all three spatial (local, city, region) and two temporal (short-, long-term) scales. The findings serve as a guide for decision makers, transport modelers and planners to adopt indicators according to their scale of operation, and thus simplify the daunting task of suitable indicator selection process.
U2 - 10.1080/15568318.2018.1491077
DO - 10.1080/15568318.2018.1491077
M3 - Article
SP - 1
EP - 17
JO - International Journal of Sustainable Transportation
JF - International Journal of Sustainable Transportation
SN - 1556-8318
ER -