Analysis of Factors Affecting Walking Speed Based on Natural Field Data: Considering the Attributes of Travelers and the Travel Environment

In Mobility as a Service (MaaS), walking plays a crucial role in connecting various modes of transportation. In order to provide more accurate predictions of walking travel time, a comprehensive and in-depth study is required to examine the factors that influence walking speed. Many existing studies...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sustainability 2023-07, Vol.15 (14), p.11433
Hauptverfasser: Miao, Shuqi, Li, Tinghao, Zheng, Lili, Tan, Bowen, Ma, Qianjun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 14
container_start_page 11433
container_title Sustainability
container_volume 15
creator Miao, Shuqi
Li, Tinghao
Zheng, Lili
Tan, Bowen
Ma, Qianjun
description In Mobility as a Service (MaaS), walking plays a crucial role in connecting various modes of transportation. In order to provide more accurate predictions of walking travel time, a comprehensive and in-depth study is required to examine the factors that influence walking speed. Many existing studies focus on exploring various factors affecting walking speed, but there is limited research on further investigating the magnitude of their impact and the reasons for differences among different pedestrians. This study examines the relationship between personal characteristics and the degree of influence of environmental factors on walking speed. We recruited 31 volunteers and investigated their traveler characteristics such as height, weight, and age, as well as environmental factors such as weather conditions, ground conditions, and sidewalk Level of Service (LOS). Descriptive statistics were performed on walking speed, revealing the influence of these factors. For example, the speed of females is 89% of that of males. When in a hurry, the speed increases by 17%, while on uneven roads, the speed decreases by 11%. We then proposed the influence coefficient f to represent the degree of influence and analyzed its correlation with personal characteristics. We discovered some strong correlations. For instance, the greater the body weight, the more significant the reduction in walking speed due to precipitous weather or uneven roads. Similarly, the taller the person, the greater the increase in walking speed under the influence of a rushed situation. Finally, we constructed a series of regression models for “f” and a speed estimation model. Our findings provide support for predicting personalized speeds in various scenarios, based solely on the traveler’s personal characteristics and speeds in controlled group scenarios in the travel service system, and contribute to the study and development of MaaS in terms of travel time prediction, travel route planning, and personalized services.
doi_str_mv 10.3390/su151411433
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2843132601</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A759235917</galeid><sourcerecordid>A759235917</sourcerecordid><originalsourceid>FETCH-LOGICAL-c399t-68ed56614cfbbd50c735862ea3e767786c08e40d3f4d5aba9bdc1899bb2931553</originalsourceid><addsrcrecordid>eNptkVFLHDEQxxdpQVGf-gUCPhU5TTab3Y1v29NrBbFQLX0Ms8nkjN1LrklW6mfol-6eV9CDzsDMMPOb_8NMUXxg9IxzSc_TyASrGKs43ysOStqwGaOCvntT7xfHKT3SyThnktUHxZ_Ow_CcXCLBkgXoHGIinbWos_NL8gOGn5t8t0Y05BOkKQZPbiGPEQaycDgYcgkZLsg8-OQMxg2eH5B0OUfXjxlfpO8jPOGAkzh48zLfdsiVf3Ix-BX6fFS8tzAkPP6XD4vvi6v7-ZfZzdfP1_PuZqa5lHlWt2hEXbNK2743guqGi7YuETg2ddO0taYtVtRwWxkBPcjeaNZK2fel5EwIflicbHXXMfwaMWX1GMY43SGpsq0442VN2Su1hAGV8zbkCHrlklZdI2TJhWTNRJ39h5rc4Mrp4NG6qb-z8HFnYWIy_s5LGFNS13ffdtnTLatjSCmiVevoVhCfFaNq83P15uf8L4fGnLM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2843132601</pqid></control><display><type>article</type><title>Analysis of Factors Affecting Walking Speed Based on Natural Field Data: Considering the Attributes of Travelers and the Travel Environment</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Miao, Shuqi ; Li, Tinghao ; Zheng, Lili ; Tan, Bowen ; Ma, Qianjun</creator><creatorcontrib>Miao, Shuqi ; Li, Tinghao ; Zheng, Lili ; Tan, Bowen ; Ma, Qianjun</creatorcontrib><description>In Mobility as a Service (MaaS), walking plays a crucial role in connecting various modes of transportation. In order to provide more accurate predictions of walking travel time, a comprehensive and in-depth study is required to examine the factors that influence walking speed. Many existing studies focus on exploring various factors affecting walking speed, but there is limited research on further investigating the magnitude of their impact and the reasons for differences among different pedestrians. This study examines the relationship between personal characteristics and the degree of influence of environmental factors on walking speed. We recruited 31 volunteers and investigated their traveler characteristics such as height, weight, and age, as well as environmental factors such as weather conditions, ground conditions, and sidewalk Level of Service (LOS). Descriptive statistics were performed on walking speed, revealing the influence of these factors. For example, the speed of females is 89% of that of males. When in a hurry, the speed increases by 17%, while on uneven roads, the speed decreases by 11%. We then proposed the influence coefficient f to represent the degree of influence and analyzed its correlation with personal characteristics. We discovered some strong correlations. For instance, the greater the body weight, the more significant the reduction in walking speed due to precipitous weather or uneven roads. Similarly, the taller the person, the greater the increase in walking speed under the influence of a rushed situation. Finally, we constructed a series of regression models for “f” and a speed estimation model. Our findings provide support for predicting personalized speeds in various scenarios, based solely on the traveler’s personal characteristics and speeds in controlled group scenarios in the travel service system, and contribute to the study and development of MaaS in terms of travel time prediction, travel route planning, and personalized services.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su151411433</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Body weight ; College campuses ; Gender ; Pedestrians ; R&amp;D ; Rain ; Research &amp; development ; Sustainability ; Travel ; Travelers ; Walking ; Walkways ; Weather</subject><ispartof>Sustainability, 2023-07, Vol.15 (14), p.11433</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-68ed56614cfbbd50c735862ea3e767786c08e40d3f4d5aba9bdc1899bb2931553</citedby><cites>FETCH-LOGICAL-c399t-68ed56614cfbbd50c735862ea3e767786c08e40d3f4d5aba9bdc1899bb2931553</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Miao, Shuqi</creatorcontrib><creatorcontrib>Li, Tinghao</creatorcontrib><creatorcontrib>Zheng, Lili</creatorcontrib><creatorcontrib>Tan, Bowen</creatorcontrib><creatorcontrib>Ma, Qianjun</creatorcontrib><title>Analysis of Factors Affecting Walking Speed Based on Natural Field Data: Considering the Attributes of Travelers and the Travel Environment</title><title>Sustainability</title><description>In Mobility as a Service (MaaS), walking plays a crucial role in connecting various modes of transportation. In order to provide more accurate predictions of walking travel time, a comprehensive and in-depth study is required to examine the factors that influence walking speed. Many existing studies focus on exploring various factors affecting walking speed, but there is limited research on further investigating the magnitude of their impact and the reasons for differences among different pedestrians. This study examines the relationship between personal characteristics and the degree of influence of environmental factors on walking speed. We recruited 31 volunteers and investigated their traveler characteristics such as height, weight, and age, as well as environmental factors such as weather conditions, ground conditions, and sidewalk Level of Service (LOS). Descriptive statistics were performed on walking speed, revealing the influence of these factors. For example, the speed of females is 89% of that of males. When in a hurry, the speed increases by 17%, while on uneven roads, the speed decreases by 11%. We then proposed the influence coefficient f to represent the degree of influence and analyzed its correlation with personal characteristics. We discovered some strong correlations. For instance, the greater the body weight, the more significant the reduction in walking speed due to precipitous weather or uneven roads. Similarly, the taller the person, the greater the increase in walking speed under the influence of a rushed situation. Finally, we constructed a series of regression models for “f” and a speed estimation model. Our findings provide support for predicting personalized speeds in various scenarios, based solely on the traveler’s personal characteristics and speeds in controlled group scenarios in the travel service system, and contribute to the study and development of MaaS in terms of travel time prediction, travel route planning, and personalized services.</description><subject>Body weight</subject><subject>College campuses</subject><subject>Gender</subject><subject>Pedestrians</subject><subject>R&amp;D</subject><subject>Rain</subject><subject>Research &amp; development</subject><subject>Sustainability</subject><subject>Travel</subject><subject>Travelers</subject><subject>Walking</subject><subject>Walkways</subject><subject>Weather</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkVFLHDEQxxdpQVGf-gUCPhU5TTab3Y1v29NrBbFQLX0Ms8nkjN1LrklW6mfol-6eV9CDzsDMMPOb_8NMUXxg9IxzSc_TyASrGKs43ysOStqwGaOCvntT7xfHKT3SyThnktUHxZ_Ow_CcXCLBkgXoHGIinbWos_NL8gOGn5t8t0Y05BOkKQZPbiGPEQaycDgYcgkZLsg8-OQMxg2eH5B0OUfXjxlfpO8jPOGAkzh48zLfdsiVf3Ix-BX6fFS8tzAkPP6XD4vvi6v7-ZfZzdfP1_PuZqa5lHlWt2hEXbNK2743guqGi7YuETg2ddO0taYtVtRwWxkBPcjeaNZK2fel5EwIflicbHXXMfwaMWX1GMY43SGpsq0442VN2Su1hAGV8zbkCHrlklZdI2TJhWTNRJ39h5rc4Mrp4NG6qb-z8HFnYWIy_s5LGFNS13ffdtnTLatjSCmiVevoVhCfFaNq83P15uf8L4fGnLM</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Miao, Shuqi</creator><creator>Li, Tinghao</creator><creator>Zheng, Lili</creator><creator>Tan, Bowen</creator><creator>Ma, Qianjun</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20230701</creationdate><title>Analysis of Factors Affecting Walking Speed Based on Natural Field Data: Considering the Attributes of Travelers and the Travel Environment</title><author>Miao, Shuqi ; Li, Tinghao ; Zheng, Lili ; Tan, Bowen ; Ma, Qianjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-68ed56614cfbbd50c735862ea3e767786c08e40d3f4d5aba9bdc1899bb2931553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Body weight</topic><topic>College campuses</topic><topic>Gender</topic><topic>Pedestrians</topic><topic>R&amp;D</topic><topic>Rain</topic><topic>Research &amp; development</topic><topic>Sustainability</topic><topic>Travel</topic><topic>Travelers</topic><topic>Walking</topic><topic>Walkways</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miao, Shuqi</creatorcontrib><creatorcontrib>Li, Tinghao</creatorcontrib><creatorcontrib>Zheng, Lili</creatorcontrib><creatorcontrib>Tan, Bowen</creatorcontrib><creatorcontrib>Ma, Qianjun</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miao, Shuqi</au><au>Li, Tinghao</au><au>Zheng, Lili</au><au>Tan, Bowen</au><au>Ma, Qianjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Factors Affecting Walking Speed Based on Natural Field Data: Considering the Attributes of Travelers and the Travel Environment</atitle><jtitle>Sustainability</jtitle><date>2023-07-01</date><risdate>2023</risdate><volume>15</volume><issue>14</issue><spage>11433</spage><pages>11433-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>In Mobility as a Service (MaaS), walking plays a crucial role in connecting various modes of transportation. In order to provide more accurate predictions of walking travel time, a comprehensive and in-depth study is required to examine the factors that influence walking speed. Many existing studies focus on exploring various factors affecting walking speed, but there is limited research on further investigating the magnitude of their impact and the reasons for differences among different pedestrians. This study examines the relationship between personal characteristics and the degree of influence of environmental factors on walking speed. We recruited 31 volunteers and investigated their traveler characteristics such as height, weight, and age, as well as environmental factors such as weather conditions, ground conditions, and sidewalk Level of Service (LOS). Descriptive statistics were performed on walking speed, revealing the influence of these factors. For example, the speed of females is 89% of that of males. When in a hurry, the speed increases by 17%, while on uneven roads, the speed decreases by 11%. We then proposed the influence coefficient f to represent the degree of influence and analyzed its correlation with personal characteristics. We discovered some strong correlations. For instance, the greater the body weight, the more significant the reduction in walking speed due to precipitous weather or uneven roads. Similarly, the taller the person, the greater the increase in walking speed under the influence of a rushed situation. Finally, we constructed a series of regression models for “f” and a speed estimation model. Our findings provide support for predicting personalized speeds in various scenarios, based solely on the traveler’s personal characteristics and speeds in controlled group scenarios in the travel service system, and contribute to the study and development of MaaS in terms of travel time prediction, travel route planning, and personalized services.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su151411433</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof Sustainability, 2023-07, Vol.15 (14), p.11433
issn 2071-1050
2071-1050
language eng
recordid cdi_proquest_journals_2843132601
source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals
subjects Body weight
College campuses
Gender
Pedestrians
R&D
Rain
Research & development
Sustainability
Travel
Travelers
Walking
Walkways
Weather
title Analysis of Factors Affecting Walking Speed Based on Natural Field Data: Considering the Attributes of Travelers and the Travel Environment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T17%3A43%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20Factors%20Affecting%20Walking%20Speed%20Based%20on%20Natural%20Field%20Data:%20Considering%20the%20Attributes%20of%20Travelers%20and%20the%20Travel%20Environment&rft.jtitle=Sustainability&rft.au=Miao,%20Shuqi&rft.date=2023-07-01&rft.volume=15&rft.issue=14&rft.spage=11433&rft.pages=11433-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su151411433&rft_dat=%3Cgale_proqu%3EA759235917%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2843132601&rft_id=info:pmid/&rft_galeid=A759235917&rfr_iscdi=true