| 000 | 02485cam a2200409 i 4500 | ||
|---|---|---|---|
| 005 | 20250919130354.0 | ||
| 008 | 190716s2019 xxua 001 0 eng c | ||
| 010 | _a2018-038725 | ||
| 020 |
_a9781522579434 _qhardcover _cRM646.27 |
||
| 039 | 9 |
_a201907181301 _bzakir _c201907161327 _dzakir _y02-27-2019 _zyah |
|
| 040 |
_aUKM _erda |
||
| 050 | 0 | 0 |
_aHE5614.5.A8 _bM67 3 |
| 090 | _aHE5614.5.A8M675 3 | ||
| 100 | 1 |
_aMoridpour, Sara, _d1980- _eauthor. |
|
| 245 | 1 | 0 |
_aBig data analytics in traffic and transportation engineering : _bemerging research and opportunities / _cSara Moridpour. |
| 264 | 1 |
_aHershey, PA : _bEngineering Science Reference, an imprint of IGI Global, _c[2019] |
|
| 264 | 4 | _c©2019 | |
| 300 |
_aix, 188 pages : _billustrations ; _c26 cm. |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 504 | _aIncludes bibliographical references (pages 164-185) and index. | ||
| 505 | 0 | _aAccess to public transport in metropolitan areas -- Bikeability in metropolitan areas -- Walkability in metropolitan areas -- Applying decision tree approaches on vehicle-pedestrian crashes -- Neighbourhood influences on vehicle-pedestrian crash severity -- Spatial and temporal distribution of pedestrian crashes -- Contributing factors on vehicle-pedestrian crash severity of school-aged pedestrians. | |
| 520 | _a'This book identifies the factors contributing to the severity of vehicle-pedestrian crashes at mid-blocks. It examines the influence of the socioeconomic factors of the neighborhoods where road users live (residency neighborhood) and where crashes occur (crash neighborhood) on vehicle-pedestrian crash severity, while controlling for the influences of roadway, road user, vehicle and environmental factors'--Provided by publisher. | ||
| 650 | 0 |
_aPedestrian accidents _zAustralia _zMelbourne (Vic.) _xStatistical methods. |
|
| 650 | 0 |
_aTraffic accidents _zAustralia _zMelbourne (Vic.) _xStatistical methods. |
|
| 650 | 0 |
_aRoads _xInterchanges and intersections _xSafety measures _xStatistical methods. |
|
| 650 | 0 |
_aBig data _zAustralia _zMelbourne (Vic.) |
|
| 907 |
_a.b16689665 _b2019-11-12 _c2019-11-12 |
||
| 942 |
_c01 _n0 _kHE5614.5.A8M675 3 |
||
| 914 | _avtls003644376 | ||
| 990 | _azak. | ||
| 991 | _aFakulti Kejuruteraan dan Alam Bina. | ||
| 998 |
_al _b2019-01-02 _cm _da _feng _gxxu _y0 _z.b16689665 |
||
| 999 |
_c637027 _d637027 |
||