Systematic variability in repetitious travel

Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Hanson, Susan [verfasserIn] Huff, O. James

Format:	Artikel
Sprache:	Englisch

Erschienen:	1988

Schlagwörter:	Travel Behavior Weekly Cycle Considerable Portion Intraindividual Variability Travel Pattern

Anmerkung:	© Kluwer Academic Publishers 1988

Übergeordnetes Werk:	Enthalten in: Transportation - Kluwer Academic Publishers, 1972, 15(1988), 1-2 vom: März, Seite 111-135
Übergeordnetes Werk:	volume:15 ; year:1988 ; number:1-2 ; month:03 ; pages:111-135

Links:	Volltext

DOI / URN:	10.1007/BF00167983

Katalog-ID:	OLC2035086159

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allfields	10.1007/BF00167983 doi (DE-627)OLC2035086159 (DE-He213)BF00167983-p DE-627 ger DE-627 rakwb eng 380 VZ Hanson, Susan verfasserin aut Systematic variability in repetitious travel 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1988 Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. Travel Behavior Weekly Cycle Considerable Portion Intraindividual Variability Travel Pattern Huff, O. James aut Enthalten in Transportation Kluwer Academic Publishers, 1972 15(1988), 1-2 vom: März, Seite 111-135 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:15 year:1988 number:1-2 month:03 pages:111-135 https://doi.org/10.1007/BF00167983 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4317 GBV_ILN_4319 AR 15 1988 1-2 03 111-135
spelling	10.1007/BF00167983 doi (DE-627)OLC2035086159 (DE-He213)BF00167983-p DE-627 ger DE-627 rakwb eng 380 VZ Hanson, Susan verfasserin aut Systematic variability in repetitious travel 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1988 Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. Travel Behavior Weekly Cycle Considerable Portion Intraindividual Variability Travel Pattern Huff, O. James aut Enthalten in Transportation Kluwer Academic Publishers, 1972 15(1988), 1-2 vom: März, Seite 111-135 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:15 year:1988 number:1-2 month:03 pages:111-135 https://doi.org/10.1007/BF00167983 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4317 GBV_ILN_4319 AR 15 1988 1-2 03 111-135
allfields_unstemmed	10.1007/BF00167983 doi (DE-627)OLC2035086159 (DE-He213)BF00167983-p DE-627 ger DE-627 rakwb eng 380 VZ Hanson, Susan verfasserin aut Systematic variability in repetitious travel 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1988 Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. Travel Behavior Weekly Cycle Considerable Portion Intraindividual Variability Travel Pattern Huff, O. James aut Enthalten in Transportation Kluwer Academic Publishers, 1972 15(1988), 1-2 vom: März, Seite 111-135 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:15 year:1988 number:1-2 month:03 pages:111-135 https://doi.org/10.1007/BF00167983 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4317 GBV_ILN_4319 AR 15 1988 1-2 03 111-135
allfieldsGer	10.1007/BF00167983 doi (DE-627)OLC2035086159 (DE-He213)BF00167983-p DE-627 ger DE-627 rakwb eng 380 VZ Hanson, Susan verfasserin aut Systematic variability in repetitious travel 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1988 Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. Travel Behavior Weekly Cycle Considerable Portion Intraindividual Variability Travel Pattern Huff, O. James aut Enthalten in Transportation Kluwer Academic Publishers, 1972 15(1988), 1-2 vom: März, Seite 111-135 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:15 year:1988 number:1-2 month:03 pages:111-135 https://doi.org/10.1007/BF00167983 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4317 GBV_ILN_4319 AR 15 1988 1-2 03 111-135
allfieldsSound	10.1007/BF00167983 doi (DE-627)OLC2035086159 (DE-He213)BF00167983-p DE-627 ger DE-627 rakwb eng 380 VZ Hanson, Susan verfasserin aut Systematic variability in repetitious travel 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1988 Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. Travel Behavior Weekly Cycle Considerable Portion Intraindividual Variability Travel Pattern Huff, O. James aut Enthalten in Transportation Kluwer Academic Publishers, 1972 15(1988), 1-2 vom: März, Seite 111-135 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:15 year:1988 number:1-2 month:03 pages:111-135 https://doi.org/10.1007/BF00167983 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4317 GBV_ILN_4319 AR 15 1988 1-2 03 111-135
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author	Hanson, Susan
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title	Systematic variability in repetitious travel
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title_full	Systematic variability in repetitious travel
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title_sort	systematic variability in repetitious travel
title_auth	Systematic variability in repetitious travel
abstract	Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. © Kluwer Academic Publishers 1988
abstractGer	Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. © Kluwer Academic Publishers 1988
abstract_unstemmed	Abstract The focus of this paper is the degree to which day-to-day variability in the individual's travel pattern has a systematic, or nonrandom, component. We first review the different sources of variability in travel, emphasizing the difference between between-individual and within-individual variation and the implications of this difference for travel analysis. After discussing the impact of measurement (i.e. the way in which travel behavior is measured) on the study of repetition and variability, we use the Uppsala data to examine the level of systematic variability in an individual's longitudinal travel record. The analysis focuses on two questions:- How well does observation over one week capture longer-term (five-week) travel behavior; in other words, is behavior highly repetitive from week to week?- How systematic is within-individual variability; in other words, are certain stops distributed over the five-week record in a nonrandom, that is either regular or clustered, fashion? Using measures of travel that include more than one stop attribute (e.g. activity, mode, time of day, and location), we found that:- A seven-day record of travel does not capture most of the separate behaviors exhibited by the individual over a five-week period, but it does capture, for most people, a good sampling of the person's different typical daily travel patterns.- Whereas a considerable portion of intraindividual variability is systematic (nonrandom), clustering is a more important source of nonrandom variation than is regularity. The results suggest that behavior does not follow a weekly cycle closely enough for a one-week travel record to measure the longer-term frequency with which the individual makes certain stops or to assess the level of day-to-day variation present in the individual's record. Because these results are likely to reflect the particular measures of behavior we used, one conclusion of this study is the need for other studies that replicate the aims of this one but use a variety of other travel measures. Only through such additional work can we truly assess the sensitivity of our findings to measurement techniques. © Kluwer Academic Publishers 1988
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title_short	Systematic variability in repetitious travel
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