We investigate whether the acceptance of autonomous trucks as a function of their impact on traffic jams and injury rates are affected by loss aversion and diminishing sensitivity as described in prospect theory. In an online survey (N = 447), we presented randomised sets of values the replacement of human truck drivers would have on traffic jams and injuries. Adjusting for loss aversion provides no additional explained variance in the model, but adjusting for diminishing sensitivity does.
{"title":"Changes in Traffic Jams and Injuries Impact on Acceptability of Automated Vehicles: A Strong Curvilinear Relation with no signs of Loss Aversion.","authors":"L. E. Egner","doi":"10.32866/001c.122205","DOIUrl":"https://doi.org/10.32866/001c.122205","url":null,"abstract":"We investigate whether the acceptance of autonomous trucks as a function of their impact on traffic jams and injury rates are affected by loss aversion and diminishing sensitivity as described in prospect theory. In an online survey (N = 447), we presented randomised sets of values the replacement of human truck drivers would have on traffic jams and injuries. Adjusting for loss aversion provides no additional explained variance in the model, but adjusting for diminishing sensitivity does.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"15 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Transportation planners and engineers are increasingly interested in incorporating demand variations into travel models. Regression models are used to predict and compare variations in permanent traffic recorder (PTR) counts along Texas highways to vehicle-kilometers traveled (VKT) inferred from INRIX’s probe-vehicle data across days of the year. Results suggest INRIX data do not illuminate month-of-year variations in network use, due to random or unexpected shifts in sampling rates, but significant day-of-week differences are clear in both. Furthermore, INRIX appears to capture much more light-duty-vehicle travel than PTRs on Saturdays, but this may be due to location-based services’ over-counting of vehicles carrying multiple mobile devices and/or PTRs’ highway-site bias.
{"title":"Day-of-Week, Month, and Seasonal Demand Variations: Comparing Flow Estimates Across New Travel Data Sources","authors":"Kentaro Mori, Kara M. Kockelman","doi":"10.32866/001c.118815","DOIUrl":"https://doi.org/10.32866/001c.118815","url":null,"abstract":"Transportation planners and engineers are increasingly interested in incorporating demand variations into travel models. Regression models are used to predict and compare variations in permanent traffic recorder (PTR) counts along Texas highways to vehicle-kilometers traveled (VKT) inferred from INRIX’s probe-vehicle data across days of the year. Results suggest INRIX data do not illuminate month-of-year variations in network use, due to random or unexpected shifts in sampling rates, but significant day-of-week differences are clear in both. Furthermore, INRIX appears to capture much more light-duty-vehicle travel than PTRs on Saturdays, but this may be due to location-based services’ over-counting of vehicles carrying multiple mobile devices and/or PTRs’ highway-site bias.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"24 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores human mobility patterns during the 2024 total solar eclipse in Canada, leveraging de-identified network mobility data from TELUS Communications. We compare travel patterns during the total solar eclipse with a baseline period by averaging the visitor counts from April 15th to 19th, then calculate the change in visitor counts during the total solar eclipse relative to this baseline period (hereafter adjusted visitor counts). Using these adjusted visitor counts, we estimate that 589,290 Canadians traveled to areas within the path of totality to observe the eclipse. The findings highlight significant inter-provincial travel, with major influxes of visitors to Ontario, particularly near Lake Erie. We found significant evidence of a distance decay effect in the adjusted traveller counts to the path of totality. This study demonstrates the utility of de-identified network mobility data in understanding the dynamics of human mobility during once-in-a-lifetime events.
{"title":"Human Mobility Patterns during the 2024 Total Solar Eclipse in Canada","authors":"Hui Jeong Ha, Jed A. Long","doi":"10.32866/001c.120803","DOIUrl":"https://doi.org/10.32866/001c.120803","url":null,"abstract":"This study explores human mobility patterns during the 2024 total solar eclipse in Canada, leveraging de-identified network mobility data from TELUS Communications. We compare travel patterns during the total solar eclipse with a baseline period by averaging the visitor counts from April 15th to 19th, then calculate the change in visitor counts during the total solar eclipse relative to this baseline period (hereafter adjusted visitor counts). Using these adjusted visitor counts, we estimate that 589,290 Canadians traveled to areas within the path of totality to observe the eclipse. The findings highlight significant inter-provincial travel, with major influxes of visitors to Ontario, particularly near Lake Erie. We found significant evidence of a distance decay effect in the adjusted traveller counts to the path of totality. This study demonstrates the utility of de-identified network mobility data in understanding the dynamics of human mobility during once-in-a-lifetime events.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"105 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141666116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study quantifies the reduction in external costs and changes in travel times resulting from the shift from car use to intermodal travel in Munich, based on real-world tracking data. By re-routing all car trips and calculating the travel times, distances, and externalities of alternative modes, we demonstrate that without increasing travel time, external costs can be reduced by 21 %, and by up to 77 % if a doubling of travel time is accepted. These findings highlight the significant benefits of intermodal mobility for urban transportation planning and underline its importance as a viable alternative to the private car.
{"title":"Substituting Car Trips: Does Intermodal Mobility Decrease External Costs and How Does It Affect Travel Times? An Analysis Based on GPS Tracking Data","authors":"Felix Gotzler, Nico Nachtigall, Konstantin Krauss","doi":"10.32866/001c.120432","DOIUrl":"https://doi.org/10.32866/001c.120432","url":null,"abstract":"This study quantifies the reduction in external costs and changes in travel times resulting from the shift from car use to intermodal travel in Munich, based on real-world tracking data. By re-routing all car trips and calculating the travel times, distances, and externalities of alternative modes, we demonstrate that without increasing travel time, external costs can be reduced by 21 %, and by up to 77 % if a doubling of travel time is accepted. These findings highlight the significant benefits of intermodal mobility for urban transportation planning and underline its importance as a viable alternative to the private car.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"122 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141666381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper studies private air travel frequency among the UK population using a regression analysis. The analysis accounts for a large range of independent variables, including the respondents’ partners’ attributes, social network dispersion and migration background. We find that both having one’s best friends and/or close family members abroad is associated with more frequent flights. Partners’ friends living abroad also stimulate more frequent flights. Also, partners’ education level and long-standing illness or disability are, respectively, positively and negatively associated with flight frequency. First generation migration background is associated with increased flying, while higher-order generation migration background (i.e. having parents or grandparents who were born abroad) is not.
{"title":"The Role of Intra-Household Interactions and Personal Social Network Dispersion in Air Travel Frequency in the UK","authors":"Giulio Mattioli, Joachim Scheiner","doi":"10.32866/001c.120422","DOIUrl":"https://doi.org/10.32866/001c.120422","url":null,"abstract":"This paper studies private air travel frequency among the UK population using a regression analysis. The analysis accounts for a large range of independent variables, including the respondents’ partners’ attributes, social network dispersion and migration background. We find that both having one’s best friends and/or close family members abroad is associated with more frequent flights. Partners’ friends living abroad also stimulate more frequent flights. Also, partners’ education level and long-standing illness or disability are, respectively, positively and negatively associated with flight frequency. First generation migration background is associated with increased flying, while higher-order generation migration background (i.e. having parents or grandparents who were born abroad) is not.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"18 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141712919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper quantifies the perceived cost of utilitarian cycling energy expenditure as the marginal rate of substitution between energy expenditure and travel time (MRSet). This trade-off manifests in, and can be inferred from cyclist cruising speeds. Median MRSet values for observed cruising events in a naturalistic cycling dataset range from 0.05 to 0.95 min/km per kcal/min. The revealed cost of energy expenditure (relative to travel time) increases significantly with road grade, traffic controls, and certain facility types, and is also significantly higher for women, less-dedicated cyclists, and people riding on weekends and for non-commute purposes.
{"title":"Revealed Preferences for Utilitarian Cycling Energy Expenditure versus Travel Time","authors":"Elmira Berjisian, A. Bigazzi","doi":"10.32866/001c.120430","DOIUrl":"https://doi.org/10.32866/001c.120430","url":null,"abstract":"This paper quantifies the perceived cost of utilitarian cycling energy expenditure as the marginal rate of substitution between energy expenditure and travel time (MRSet). This trade-off manifests in, and can be inferred from cyclist cruising speeds. Median MRSet values for observed cruising events in a naturalistic cycling dataset range from 0.05 to 0.95 min/km per kcal/min. The revealed cost of energy expenditure (relative to travel time) increases significantly with road grade, traffic controls, and certain facility types, and is also significantly higher for women, less-dedicated cyclists, and people riding on weekends and for non-commute purposes.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"23 56","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141699726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Four years after the onset of the COVID-19 pandemic in March 2020, Canada’s public transit ridership and farebox revenues remain below pre-pandemic levels. Despite the lifting of mobility and assembly restrictions and significant population growth in the past two years due to an influx of immigrants, foreign students, and temporary workers, transit ridership and revenues have not recovered. The pandemic restrictions caused an 84 percent drop in ridership and farebox revenues. Despite the slow recovery, urban transit ridership in Canada is expected to reach the pre-pandemic level by 2026.
{"title":"Post-pandemic Recovery of Transit Ridership and Revenue in Canada","authors":"Murtaza Haider","doi":"10.32866/001c.118435","DOIUrl":"https://doi.org/10.32866/001c.118435","url":null,"abstract":"Four years after the onset of the COVID-19 pandemic in March 2020, Canada’s public transit ridership and farebox revenues remain below pre-pandemic levels. Despite the lifting of mobility and assembly restrictions and significant population growth in the past two years due to an influx of immigrants, foreign students, and temporary workers, transit ridership and revenues have not recovered. The pandemic restrictions caused an 84 percent drop in ridership and farebox revenues. Despite the slow recovery, urban transit ridership in Canada is expected to reach the pre-pandemic level by 2026.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"19 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research explores the relationship between climate-induced migration destination choice and social ties in the US, using anonymized smartphone data from SafeGraph. It shows that Thanksgiving travel patterns correlate with relocations following Hurricanes Harvey, Irma, and Maria. Findings reveal a statistically significant positive correlation, suggesting that states with a greater change in visitors during Thanksgiving week compared to regular week are likelier destinations for post-disaster relocation, emphasizing social ties’ crucial role in such decisions. This research highlights the need for urban planning and emergency management to consider the spatial distribution of social networks, which could inform evacuation strategies and disaster recovery policies.
{"title":"Can Thanksgiving Destinations Predict Climate Migration Patterns?","authors":"Chaeyeon Han, Uijeong Hwang, S. Guhathakurta","doi":"10.32866/001c.117432","DOIUrl":"https://doi.org/10.32866/001c.117432","url":null,"abstract":"This research explores the relationship between climate-induced migration destination choice and social ties in the US, using anonymized smartphone data from SafeGraph. It shows that Thanksgiving travel patterns correlate with relocations following Hurricanes Harvey, Irma, and Maria. Findings reveal a statistically significant positive correlation, suggesting that states with a greater change in visitors during Thanksgiving week compared to regular week are likelier destinations for post-disaster relocation, emphasizing social ties’ crucial role in such decisions. This research highlights the need for urban planning and emergency management to consider the spatial distribution of social networks, which could inform evacuation strategies and disaster recovery policies.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"25 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
During the earlier stages of the COVID-19 pandemic, numerous studies used bicycle count data to understand the pandemic’s impact on urban cycling. However, given the context and timeliness of such studies, correcting for periods of missing data and ensuring data accuracy were not always possible. In this paper, we examine the quality of bicycle count data, using Montreal as a case study, and propose methodological improvements. By employing a missing value imputation technique and excluding sensors potentially affected by exogenous factors, we hope to provide cities with a more precise assessment of cycling trends.
{"title":"Revisiting COVID-19’s Impact on Cycling: An Examination of Bicycle Count Data in Montréal","authors":"Mischa Young, Gavin MacGregor, Georges Tanguay","doi":"10.32866/001c.118813","DOIUrl":"https://doi.org/10.32866/001c.118813","url":null,"abstract":"During the earlier stages of the COVID-19 pandemic, numerous studies used bicycle count data to understand the pandemic’s impact on urban cycling. However, given the context and timeliness of such studies, correcting for periods of missing data and ensuring data accuracy were not always possible. In this paper, we examine the quality of bicycle count data, using Montreal as a case study, and propose methodological improvements. By employing a missing value imputation technique and excluding sensors potentially affected by exogenous factors, we hope to provide cities with a more precise assessment of cycling trends.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Koki Nozawa, Wenzhe Sun, Jan Dirk Schmoecker, Satoshi Nakao
We use aggregate mobile phone statistics from people present in 500 m x 500 m meshes to analyse the change in nightlife population in central Kyoto. First, we quantify the impact of COVID policies, controlling for other seasonal factors, on each mesh with RegARIMA regression. Second, we explain these parameters with a spatial-lag regression that uses “points of interests” in these meshes as explanatory variables. We illustrate the spatial variation regarding the impact of the first COVID emergency declaration and of a so-called “Go-To campaign” that provided incentives for people to visit Kyoto. The results quantify the additional drop in visitors that meshes with more nightlife establishments experience due to COVID policies. The presence of take-aways, convenience stores etc instead reduces the impact at nighttime hours. The regression coefficients are small for the Go-To campaign model suggesting less recovery of nightlife activities.
我们利用 500 m x 500 m 网格内的移动电话统计数据来分析京都市中心夜生活人口的变化。首先，在控制其他季节性因素的情况下，我们通过 RegARIMA 回归量化了 COVID 政策对每个网格的影响。其次，我们使用空间滞后回归来解释这些参数，将这些网格中的 "兴趣点 "作为解释变量。我们说明了第一次 COVID 紧急宣布和所谓的 "Go-To 运动"（激励人们访问京都）的影响的空间变化。结果量化了夜生活场所较多的区域因 COVID 政策而导致的游客量额外下降。外卖店、便利店等的存在反而减少了夜间时段的影响。Go-To 活动模型的回归系数较小，表明夜生活活动的恢复程度较低。
{"title":"The Impact of COVID-19 Policies on Nightlife in Kyoto","authors":"Koki Nozawa, Wenzhe Sun, Jan Dirk Schmoecker, Satoshi Nakao","doi":"10.32866/001c.118552","DOIUrl":"https://doi.org/10.32866/001c.118552","url":null,"abstract":"We use aggregate mobile phone statistics from people present in 500 m x 500 m meshes to analyse the change in nightlife population in central Kyoto. First, we quantify the impact of COVID policies, controlling for other seasonal factors, on each mesh with RegARIMA regression. Second, we explain these parameters with a spatial-lag regression that uses “points of interests” in these meshes as explanatory variables. We illustrate the spatial variation regarding the impact of the first COVID emergency declaration and of a so-called “Go-To campaign” that provided incentives for people to visit Kyoto. The results quantify the additional drop in visitors that meshes with more nightlife establishments experience due to COVID policies. The presence of take-aways, convenience stores etc instead reduces the impact at nighttime hours. The regression coefficients are small for the Go-To campaign model suggesting less recovery of nightlife activities.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"54 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：