人口变化、天气和拥堵:探索芝加哥高架步道使用率的下降

G. Lindsey, Yunlei Qi, P. Gobster, Sonya S. Sachdeva
{"title":"人口变化、天气和拥堵:探索芝加哥高架步道使用率的下降","authors":"G. Lindsey, Yunlei Qi, P. Gobster, Sonya S. Sachdeva","doi":"10.18666/jpra-2019-10063","DOIUrl":null,"url":null,"abstract":"This research note examines possible explanations for declines in use of Chicago’s 606 Trail between 2016, its first complete year of operation, and 2018. Hypotheses include population changes near the trail, adverse weather in 2017-2018, and congestion effects. To evaluate these hypotheses, respectively, we use Census data, traffic counts, weather data, and regression modeling; and level-of-service (LOS) grades for peak use periods. We show that population changes were unlikely to have contributed to the use reductions and that, after controlling for weather effects, daily use still was significantly lower in 2017-2018 relative to 2016. Although LOS grades of “F” characterize much of weekend daytime use in summers, use reductions also occurred during periods with better LOS. None of the hypotheses fully explains the use declines. Field surveys are needed to explore additional, potential explanations including changes in preferences and perceptions of residents in gentrifying neighborhoods and the loss of a novelty effect. Subscribe to JPRA","PeriodicalId":223577,"journal":{"name":"The Journal of Park and Recreation Administration","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Population Changes, Weather, and Congestion: Exploring Declines in Use of Chicago’s Elevated Trail\",\"authors\":\"G. Lindsey, Yunlei Qi, P. Gobster, Sonya S. Sachdeva\",\"doi\":\"10.18666/jpra-2019-10063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research note examines possible explanations for declines in use of Chicago’s 606 Trail between 2016, its first complete year of operation, and 2018. Hypotheses include population changes near the trail, adverse weather in 2017-2018, and congestion effects. To evaluate these hypotheses, respectively, we use Census data, traffic counts, weather data, and regression modeling; and level-of-service (LOS) grades for peak use periods. We show that population changes were unlikely to have contributed to the use reductions and that, after controlling for weather effects, daily use still was significantly lower in 2017-2018 relative to 2016. Although LOS grades of “F” characterize much of weekend daytime use in summers, use reductions also occurred during periods with better LOS. None of the hypotheses fully explains the use declines. Field surveys are needed to explore additional, potential explanations including changes in preferences and perceptions of residents in gentrifying neighborhoods and the loss of a novelty effect. Subscribe to JPRA\",\"PeriodicalId\":223577,\"journal\":{\"name\":\"The Journal of Park and Recreation Administration\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Park and Recreation Administration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18666/jpra-2019-10063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Park and Recreation Administration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18666/jpra-2019-10063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本研究报告探讨了芝加哥606步道在2016年(其第一个完整运营年份)至2018年期间使用量下降的可能解释。假设包括步道附近的人口变化、2017-2018年的恶劣天气和拥堵效应。为了评估这些假设,我们分别使用了人口普查数据、交通计数、天气数据和回归模型;高峰使用时段的服务水平(LOS)等级。我们表明,人口变化不太可能导致使用量减少,在控制天气影响后,2017-2018年的日使用量仍明显低于2016年。虽然在夏季,大部分周末白天使用的LOS等级为“F”,但在LOS较好的时期,使用也会减少。这些假设都不能完全解释使用率下降的原因。需要实地调查来探索额外的、潜在的解释,包括居民的偏好和观念的变化,以及新颖性效应的丧失。订阅JPRA
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Population Changes, Weather, and Congestion: Exploring Declines in Use of Chicago’s Elevated Trail
This research note examines possible explanations for declines in use of Chicago’s 606 Trail between 2016, its first complete year of operation, and 2018. Hypotheses include population changes near the trail, adverse weather in 2017-2018, and congestion effects. To evaluate these hypotheses, respectively, we use Census data, traffic counts, weather data, and regression modeling; and level-of-service (LOS) grades for peak use periods. We show that population changes were unlikely to have contributed to the use reductions and that, after controlling for weather effects, daily use still was significantly lower in 2017-2018 relative to 2016. Although LOS grades of “F” characterize much of weekend daytime use in summers, use reductions also occurred during periods with better LOS. None of the hypotheses fully explains the use declines. Field surveys are needed to explore additional, potential explanations including changes in preferences and perceptions of residents in gentrifying neighborhoods and the loss of a novelty effect. Subscribe to JPRA
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信