A. A. Imrit, Jaimy Fischer, Timothy C. Y. Chan, Shoshanna Saxe, Madeleine Bonsma-Fisher
This study uses Strava bicycling data to investigate network level patterns of bicycle ridership in Toronto, Canada based on Level of Traffic Stress (LTS). We found that most bicycling occurred on a small fraction of the network, with just 10% of all roads and paths accounting for 75% of all bicycle kilometres travelled in 2022. Low-stress routes (LTS 1 and LTS 2) were more popular than high-stress routes for the top 80% most popular streets. The majority of bicycle kilometres travelled (84%) in LTS 2 occurred on routes with no bicycle infrastructure, highlighting the importance of quiet residential streets in forming a low-stress bike network. Despite high-stress conditions, some LTS 3 and LTS 4 streets were heavily used, suggesting infrastructure gaps in Toronto’s bicycle network.
{"title":"A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto","authors":"A. A. Imrit, Jaimy Fischer, Timothy C. Y. Chan, Shoshanna Saxe, Madeleine Bonsma-Fisher","doi":"10.32866/001c.92109","DOIUrl":"https://doi.org/10.32866/001c.92109","url":null,"abstract":"This study uses Strava bicycling data to investigate network level patterns of bicycle ridership in Toronto, Canada based on Level of Traffic Stress (LTS). We found that most bicycling occurred on a small fraction of the network, with just 10% of all roads and paths accounting for 75% of all bicycle kilometres travelled in 2022. Low-stress routes (LTS 1 and LTS 2) were more popular than high-stress routes for the top 80% most popular streets. The majority of bicycle kilometres travelled (84%) in LTS 2 occurred on routes with no bicycle infrastructure, highlighting the importance of quiet residential streets in forming a low-stress bike network. Despite high-stress conditions, some LTS 3 and LTS 4 streets were heavily used, suggesting infrastructure gaps in Toronto’s bicycle network.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"119 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139615212","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 highlights transportation, placement, and features of resilience hubs preferred by underserved populations, using Edmonton, Alberta as a case study. Semi-structured focus groups were conducted with eight different underserved populations (n=52), and thematic analysis was performed to determine common themes and inform equity-centered engineering design. By talking directly with community members, we found that resilience hubs should be placed in locations that are easily accessible by walking or public transit, and additional infrastructure is needed to meet users’ needs. Most underserved participants prefer locations that are close to their neighborhood, indicating a proximity-based approach for future implementation.
{"title":"Equity in Resilience Hub Design and Transportation through Community Discussions","authors":"Sarah Wan, Stephen D. Wong","doi":"10.32866/001c.91270","DOIUrl":"https://doi.org/10.32866/001c.91270","url":null,"abstract":"This research highlights transportation, placement, and features of resilience hubs preferred by underserved populations, using Edmonton, Alberta as a case study. Semi-structured focus groups were conducted with eight different underserved populations (n=52), and thematic analysis was performed to determine common themes and inform equity-centered engineering design. By talking directly with community members, we found that resilience hubs should be placed in locations that are easily accessible by walking or public transit, and additional infrastructure is needed to meet users’ needs. Most underserved participants prefer locations that are close to their neighborhood, indicating a proximity-based approach for future implementation.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"103 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139615713","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}
Pub Date : 2024-01-18DOI: 10.48550/arXiv.2401.10189
Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Heng Ji, Huimin Zhao
Fine-grained few-shot entity extraction in the chemical domain faces two unique challenges. First, compared with entity extraction tasks in the general domain, sentences from chemical papers usually contain more entities. Moreover, entity extraction models usually have difficulty extracting entities of long-tailed types. In this paper, we propose Chem-FINESE, a novel sequence-to-sequence (seq2seq) based few-shot entity extraction approach, to address these two challenges. Our Chem-FINESE has two components: a seq2seq entity extractor to extract named entities from the input sentence and a seq2seq self-validation module to reconstruct the original input sentence from extracted entities. Inspired by the fact that a good entity extraction system needs to extract entities faithfully, our new self-validation module leverages entity extraction results to reconstruct the original input sentence. Besides, we design a new contrastive loss to reduce excessive copying during the extraction process. Finally, we release ChemNER+, a new fine-grained chemical entity extraction dataset that is annotated by domain experts with the ChemNER schema. Experiments in few-shot settings with both ChemNER+ and CHEMET datasets show that our newly proposed framework has contributed up to 8.26% and 6.84% absolute F1-score gains respectively.
{"title":"Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction","authors":"Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Heng Ji, Huimin Zhao","doi":"10.48550/arXiv.2401.10189","DOIUrl":"https://doi.org/10.48550/arXiv.2401.10189","url":null,"abstract":"Fine-grained few-shot entity extraction in the chemical domain faces two unique challenges. First, compared with entity extraction tasks in the general domain, sentences from chemical papers usually contain more entities. Moreover, entity extraction models usually have difficulty extracting entities of long-tailed types. In this paper, we propose Chem-FINESE, a novel sequence-to-sequence (seq2seq) based few-shot entity extraction approach, to address these two challenges. Our Chem-FINESE has two components: a seq2seq entity extractor to extract named entities from the input sentence and a seq2seq self-validation module to reconstruct the original input sentence from extracted entities. Inspired by the fact that a good entity extraction system needs to extract entities faithfully, our new self-validation module leverages entity extraction results to reconstruct the original input sentence. Besides, we design a new contrastive loss to reduce excessive copying during the extraction process. Finally, we release ChemNER+, a new fine-grained chemical entity extraction dataset that is annotated by domain experts with the ChemNER schema. Experiments in few-shot settings with both ChemNER+ and CHEMET datasets show that our newly proposed framework has contributed up to 8.26% and 6.84% absolute F1-score gains respectively.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"234 2","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504612","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}
Based on a survey of 696 visitors to US national parks, we found higher preferences for working/studying/reading (+77%), using social media (+63%), and entertaining (+34%) activities when traveling in an autonomous vehicle (AV) compared to a human-driven vehicle (HV). A multinomial logit-based ranked-choice analysis (between HVs, AVs, and teleportation) suggests that while most travelers enjoy spending time traveling by manually driving and/or engaging in activities of interest in HVs and AVs, some would prefer teleportation instead of spending time traveling. The choice of AVs is significantly influenced by preferences for working/studying/reading and eating/caring activities.
根据对 696 名美国国家公园游客的调查，我们发现与人类驾驶的车辆（HV）相比，游客在乘坐自动驾驶车辆（AV）旅行时更喜欢工作/学习/阅读（+77%）、使用社交媒体（+63%）和娱乐活动（+34%）。基于多叉 logit 的排序选择分析（在 HV、AV 和远程传送之间）表明，虽然大多数旅行者喜欢通过手动驾驶和/或参与 HV 和 AV 中感兴趣的活动来消磨旅行时间，但有些人更愿意选择远程传送，而不是消磨旅行时间。工作/学习/阅读和饮食/护理活动的偏好对 AV 的选择有很大影响。
{"title":"Autonomous Driving or Teleportation? Travel Time Use, Usefulness, and Other Insights from a Survey of Long-Distance Recreational Travelers","authors":"Sailesh Acharya, Patrick A. Singleton","doi":"10.32866/001c.92087","DOIUrl":"https://doi.org/10.32866/001c.92087","url":null,"abstract":"Based on a survey of 696 visitors to US national parks, we found higher preferences for working/studying/reading (+77%), using social media (+63%), and entertaining (+34%) activities when traveling in an autonomous vehicle (AV) compared to a human-driven vehicle (HV). A multinomial logit-based ranked-choice analysis (between HVs, AVs, and teleportation) suggests that while most travelers enjoy spending time traveling by manually driving and/or engaging in activities of interest in HVs and AVs, some would prefer teleportation instead of spending time traveling. The choice of AVs is significantly influenced by preferences for working/studying/reading and eating/caring activities.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"44 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139528028","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}
Using data from the 2022 National Household Travel Survey, I explore the socio-demographic characteristics of Americans who reduced their use of public transit during the latter stages of the COVID-19 pandemic. I also examine differences between travelers whose reduced transit use was temporary versus permanent. Using adjusted Wald tests and multinomial logistic regression, I find significant differences between people who did not leave transit and those who did, as well as between temporary and permanent transit leavers. Notably, owning a vehicle, having a disability, and working from home were associated with leaving public transit permanently rather than temporarily.
{"title":"Temporary versus Permanent Pandemic Transit Leavers: Findings from the 2022 US National Household Travel Survey","authors":"Julene Paul","doi":"10.32866/001c.92046","DOIUrl":"https://doi.org/10.32866/001c.92046","url":null,"abstract":"Using data from the 2022 National Household Travel Survey, I explore the socio-demographic characteristics of Americans who reduced their use of public transit during the latter stages of the COVID-19 pandemic. I also examine differences between travelers whose reduced transit use was temporary versus permanent. Using adjusted Wald tests and multinomial logistic regression, I find significant differences between people who did not leave transit and those who did, as well as between temporary and permanent transit leavers. Notably, owning a vehicle, having a disability, and working from home were associated with leaving public transit permanently rather than temporarily.","PeriodicalId":508951,"journal":{"name":"Findings","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139619031","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}
Md. Shaharier Alam, Mark W. Horner, E. Ozguven, Billie Ventimiglia, Dennis Smith
This study examines how individuals affected by Hurricane Ian (2022) perceived safety-related issues during the evacuation based on a Pollfish survey (n=100) in Lee County, Florida. 62% of survey respondents evacuated, with the majority going to a friend or relative’s home, and personal vehicles were the primary mode of transportation. Greatest concerns during evacuation included the cost of food and amenities, traffic congestion, and standing water. Upon returning home, primary concerns were disaster debris, fuel availability, and the availability of food and amenities. A binary logistic regression was employed to explore socio-economic factors’ impact on evacuation decisions, revealing significant factors.
{"title":"Understanding People’s Safety Perceptions During a Recent Evacuation: The Case of Hurricane Ian (2022)","authors":"Md. Shaharier Alam, Mark W. Horner, E. Ozguven, Billie Ventimiglia, Dennis Smith","doi":"10.32866/001c.91268","DOIUrl":"https://doi.org/10.32866/001c.91268","url":null,"abstract":"This study examines how individuals affected by Hurricane Ian (2022) perceived safety-related issues during the evacuation based on a Pollfish survey (n=100) in Lee County, Florida. 62% of survey respondents evacuated, with the majority going to a friend or relative’s home, and personal vehicles were the primary mode of transportation. Greatest concerns during evacuation included the cost of food and amenities, traffic congestion, and standing water. Upon returning home, primary concerns were disaster debris, fuel availability, and the availability of food and amenities. A binary logistic regression was employed to explore socio-economic factors’ impact on evacuation decisions, revealing significant factors.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"13 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443250","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}
Paul Redelmeier, Meredith Alousi-Jones, Merrina Zhang, Isabella Jimenez, A. El-geneidy
In car dependent societies, driving cessation may reduce older adults’ independence and quality of life. One way to maintain independence for older adults after quitting driving is to encourage walking to local destinations. This paper explores how neighborhood walkability impacts older adults’ ability to maintain their lifestyles as they age. Based on data collected from the 2023 Aging in Place survey (N=3,551), we analyze the relationship between survey respondents’ perceptions of transport in their neighborhood and its Walk Score across 6 Canadian regions. We explore the association between neighborhood walkability and respondents’ perception of their independence, quality of life, and likelihood of needing to move in the future. We find that those living in walkable neighborhoods believe that they will maintain their lifestyle when they stop driving compared to those who live in less walkable areas. The results indicate that neighborhood walkability is a key element in enabling older adults to keep their independence and sustain their lifestyle.
{"title":"Linking Neighborhood Walkability to the Independence and Quality of Life of Older Adults across Canada","authors":"Paul Redelmeier, Meredith Alousi-Jones, Merrina Zhang, Isabella Jimenez, A. El-geneidy","doi":"10.32866/001c.91402","DOIUrl":"https://doi.org/10.32866/001c.91402","url":null,"abstract":"In car dependent societies, driving cessation may reduce older adults’ independence and quality of life. One way to maintain independence for older adults after quitting driving is to encourage walking to local destinations. This paper explores how neighborhood walkability impacts older adults’ ability to maintain their lifestyles as they age. Based on data collected from the 2023 Aging in Place survey (N=3,551), we analyze the relationship between survey respondents’ perceptions of transport in their neighborhood and its Walk Score across 6 Canadian regions. We explore the association between neighborhood walkability and respondents’ perception of their independence, quality of life, and likelihood of needing to move in the future. We find that those living in walkable neighborhoods believe that they will maintain their lifestyle when they stop driving compared to those who live in less walkable areas. The results indicate that neighborhood walkability is a key element in enabling older adults to keep their independence and sustain their lifestyle.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"16 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139157665","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}
The COVID-19 pandemic prompted global supply chain upheavals, triggering shortages and delays. Governments and companies sought resilient strategies for future crises. A US response was “nearshoring,” shifting manufacturing from China to Mexico. Analyzing trade data from 2019 to 2023, this study examines if this shift occurred and its sectoral impact. Both countries initially rebounded post-Q1 2020 disruptions. However, China’s exports waned, while Mexico’s surged, surpassing China by March 2023. Sectors like machinery and electrical components showed similar trends. Mexico excelled in US supply, while China’s dominance eroded, affirming the nearshoring hypothesis. Proximity significantly bolstered long-term supply chain resilience.
{"title":"Nearshoring to Mexico and US Supply Chain Resilience as a Response to the COVID-19 Pandemic","authors":"Thomas Stringer, M. Ramírez-Melgarejo","doi":"10.32866/001c.91272","DOIUrl":"https://doi.org/10.32866/001c.91272","url":null,"abstract":"The COVID-19 pandemic prompted global supply chain upheavals, triggering shortages and delays. Governments and companies sought resilient strategies for future crises. A US response was “nearshoring,” shifting manufacturing from China to Mexico. Analyzing trade data from 2019 to 2023, this study examines if this shift occurred and its sectoral impact. Both countries initially rebounded post-Q1 2020 disruptions. However, China’s exports waned, while Mexico’s surged, surpassing China by March 2023. Sectors like machinery and electrical components showed similar trends. Mexico excelled in US supply, while China’s dominance eroded, affirming the nearshoring hypothesis. Proximity significantly bolstered long-term supply chain resilience.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"30 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139167396","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}
Achituv Cohen, Trisalyn Nelson, Dillon T. Fitch-Polse, Elizabeth Schattle, Seth Herr, Moreno Zanotto, Meghan Winters
Limited research on the patterns of bicycle theft and recovery makes it difficult to tackle the issue of bicycle theft. Our goal is to generate knowledge that can reduce the negative impacts of bicycle theft by better understanding patterns in bicycle theft and recovery. We analyzed data from a North American survey on bicycle theft conditions and recovery circumstances. Results indicate that the reported stolen bicycles were usually locked (59%), and stolen overnight (41%) from enclosed spaces (28%). 15% of stolen bicycles are recovered. Reporting the stolen bicycle on a variety of channels could increase the chance to recover them.
{"title":"Patterns in Bike Theft and Recovery","authors":"Achituv Cohen, Trisalyn Nelson, Dillon T. Fitch-Polse, Elizabeth Schattle, Seth Herr, Moreno Zanotto, Meghan Winters","doi":"10.32866/001c.90056","DOIUrl":"https://doi.org/10.32866/001c.90056","url":null,"abstract":"Limited research on the patterns of bicycle theft and recovery makes it difficult to tackle the issue of bicycle theft. Our goal is to generate knowledge that can reduce the negative impacts of bicycle theft by better understanding patterns in bicycle theft and recovery. We analyzed data from a North American survey on bicycle theft conditions and recovery circumstances. Results indicate that the reported stolen bicycles were usually locked (59%), and stolen overnight (41%) from enclosed spaces (28%). 15% of stolen bicycles are recovered. Reporting the stolen bicycle on a variety of channels could increase the chance to recover them.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139224532","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}
Bahman Lahoorpoor, Somwrita Sarkar, David Levinson
Operational incidents are a significant cause of unreliability on rail transit networks. These incidents cause major delays in services, impact passenger travel time, and have knock-on effects that interrupt other public transport services. Consequently, the vulnerability of the rail transit network is a crucial concern for managers and operators. This paper employs network vulnerability analysis to characterize individual critical stations in a railway network. The concepts of graph theory and person-weighted access are implemented to identify the critical nodes in the Sydney train and metro network, and the results are compared. In the first method, weighted and unweighted centrality measures are computed to find the most critical station. In particular, eigenvector centrality is used to identify the critical nodes by scoring all nodes in the network using the first eigenvector of the graph adjacency matrix. In the second approach, stations are ranked by the reduction of access before and after an incident. Finding of this study may have implications not only for the train operators and managers but also for the transit network planners to enhance the resilience of the public transport network.
{"title":"Evaluating the Vulnerability of the Sydney Train Network by Comparing Access-based and Network Centrality Metrics","authors":"Bahman Lahoorpoor, Somwrita Sarkar, David Levinson","doi":"10.32866/001c.88982","DOIUrl":"https://doi.org/10.32866/001c.88982","url":null,"abstract":"Operational incidents are a significant cause of unreliability on rail transit networks. These incidents cause major delays in services, impact passenger travel time, and have knock-on effects that interrupt other public transport services. Consequently, the vulnerability of the rail transit network is a crucial concern for managers and operators. This paper employs network vulnerability analysis to characterize individual critical stations in a railway network. The concepts of graph theory and person-weighted access are implemented to identify the critical nodes in the Sydney train and metro network, and the results are compared. In the first method, weighted and unweighted centrality measures are computed to find the most critical station. In particular, eigenvector centrality is used to identify the critical nodes by scoring all nodes in the network using the first eigenvector of the graph adjacency matrix. In the second approach, stations are ranked by the reduction of access before and after an incident. Finding of this study may have implications not only for the train operators and managers but also for the transit network planners to enhance the resilience of the public transport network.","PeriodicalId":508951,"journal":{"name":"Findings","volume":"152 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139257763","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}
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