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Performance Metrics - Transportation
This dataset contains performance metrics tracked by the Chicago Department of Transportation (CDOT). Thirty-five different performance metrics are tracked in this dataset, which reports the performance target, actual performance, and number of requests completed for a given metric. These metrics are based on data calculated from the city's 311 system. Individual breakout of each performance metric are also available under the "More Views" button.
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311 Service Requests - Pot Holes Reported - Historical
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As described in https://data.cityofchicago.org/stories/s/311-Dataset-Changes-12-11-2018/d7nq-5g7t, the function of this dataset was replaced by https://data.cityofchicago.org/d/v6vf-nfxy. This dataset is historical-only. The Chicago Department of Transportation (CDOT) oversees the patching of potholes on over 4,000 miles of arterial and residential streets in Chicago. CDOT receives reports of potholes through the 311 call center and uses a computerized mapping and tracking system to identify pothole locations and efficiently schedule crews. One call to 311 can generate multiple pothole repairs. When a crew arrives to repair a 311 pothole, it fills all the other potholes within the block. Pothole repairs are generally completed within 7 days from the first report of a pothole to 311. Weather conditions, particularly frigid temps and precipitation, influence how long a repair takes. On days when weather is cooperative and there is no precipitation, crews can fill several thousand potholes. If a previous request is already open for a buffer of 4 addresses the request is given the status of "Duplicate (Open)". For example, if there is an existing CSR for 6535 N Western and a new request is received for 6531 N Western (which is within four addresses of the original CSR) then the new request is given a status of "Duplicate (Open)". Once the street is repaired, the status in CSR will read “Completed” for the original request and "Duplicate (Closed)" for any duplicate requests. A service request also receives the status of “Completed” when the reported address is inspected but no potholes are found or have already been filled. If another issue is found with the street, such as a “cave-in” or “failed utility cut”, then it is directed to the appropriate department or contractor. Data Owner: Transportation. Time Period: All open requests and all completed requests since January 1, 2011. Frequency: Data is updated daily.
2023 Updated Condition Data for Transportation Infrastructure
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The City of Bloomington Department of Public Works - Street Division recently contracted for a citywide assessment that analyzed the current condition of streets, sidewalks, sidepaths and accessible curb ramps. This project builds upon a similar effort that was last performed in 2017-2018 by the Public Works Department, with the support of the Office of Innovation, and updates the condition data that was collected at that time for these important transportation assets.
Streets Data - Pavement Condition Index (PCI) Scores
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Pavement Condition Index (PCI) Scores by location.
국토교통부 정류장별 정차 노선수
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정류장별 정차 노선수 데이터는 특정 정류장에서 정차하는 버스 노선의 수를 기록한 자료로, 대중교통 연결성, 정류장의 중요도, 지역 접근성 평가에 유용합니다. 이 데이터는 대중교통 서비스 품질 향상과 도시 교통 계획에 활용될 수 있습니다.
전라남도 여수시 도로 통행속도 통계 조회 서비스
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전라남도 여수시의 도로 및 구간별 통행속도 통계를 조회할 수 있는 API입니다. 도로 및 구간별 일별, 월별 통행속도 통계와 패턴속도 통계를 제공하여 해당 기간 동안의 평균 통행속도 데이터를 제공합니다.
Traffic Counts by Study
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This table provides location data and summary statistics of each traffic study. The SDOT Traffic Counts group runs studies across the city to collect traffic volumes. Most studies are done with pneumatic tubes, but some come from video systems as well. Use the field study_id to match it with other tables for more detailed information. Data are binned in 15 minute and 60 minute bins in other tables.
Strategic Measure Street Segment Condition Data
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This table contains data that describes the condition of streets maintained by the City of Austin Public Works Department. The street network consisted of about 2525 miles of streets and just over 7863 lane miles of pavement in fiscal year 2019. Note that since many streets consist of multiple lanes, there are about three times as many lane miles as miles of streets. We report based on lane miles, rather than street miles in order to better capture the public's driving experience. Condition data is gathered by a contacted vendor, who drives the streets using a specially equipped vehicle that records the data used to determine street condition. The vendor drives every lane of every street in the city, covering one-third to one-half of the city every year. Street condition is then classified as excellent, good, fair, poor, or failed based on national street engineering standards. This table contains data for the most recent set of assessment data. Year-to-year performance is reported using another table that contains aggregated values calculated using the method described above. Private streets and streets maintained by the Texas Department of Transportation are excluded from reporting and this data set, since maintenance of those roadways is the responsibility of those parties. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/kara-xhcd.