國立虎尾科技大學 |

Jobs-housing balance and self-containment using cellphone big data = case studies in Shenzhen and Shanghai /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Jobs-housing balance and self-containment using cellphone big data/ by Xingang Zhou.
其他題名:	case studies in Shenzhen and Shanghai /
作者:	Zhou, Xingang.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xix, 91 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Quality of Life Research. -
電子資源:	https://doi.org/10.1007/978-981-97-8185-0
ISBN:	9789819781850

Jobs-housing balance and self-containment using cellphone big data = case studies in Shenzhen and Shanghai /
Zhou, Xingang.

Jobs-housing balance and self-containment using cellphone big datacase studies in Shenzhen and Shanghai /[electronic resource] :by Xingang Zhou. - Singapore :Springer Nature Singapore :2024. - xix, 91 p. :ill. (some col.), digital ;24 cm. - Urban sustainability,2731-6491. - Urban sustainability..

Introduction -- Literature Review -- Research Design..

This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. High SCE encourages the use of non-motorized transport and reduces transport-related energy consumption. In this book, mobile phone location data is employed to assess journey-to-work trips and explore spatial variations in SCE at multiple geographic scales. It finds that SCE is significantly higher in the suburbs than that in the central urban areas and tends to decrease as the spatial analysis unit shifts from the macro to the micro scale. The relationship between Jobs-housing balance is found to be more important in self-containment of employment for secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers tend to reside farther away from their workplaces to save housing cost. A mixed-use index (MUI) in terms of employment is examined. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE. This book will enhance readers' understanding of the spatial variations in SCE at multiple scales. In addition, its investigation of the effect of mixed use on SCE will shed new light on the relationship between land use and journey-to-work patterns.

ISBN: 9789819781850

Standard No.: 10.1007/978-981-97-8185-0doiSubjects--Topical Terms:

671860
Quality of Life Research.

LC Class. No.: HD5717.5.C6

Dewey Class. No.: 331.127951

Jobs-housing balance and self-containment using cellphone big data = case studies in Shenzhen and Shanghai /
LDR:02647nam a2200337 a 4500 001 1153264
003 DE-He213
005 20250114115227.0
006 m o d
007 cr nn 008maaau
008 250618s2024 si s 0 eng d
020 $a 9789819781850 $q (electronic bk.)
020 $a 9789819781843 $q (paper)
024 7 $a 10.1007/978-981-97-8185-0 $2 doi
035 $a 978-981-97-8185-0
040 $a GP $c GP
041 0 $a eng
050 4 $a HD5717.5.C6
072 7 $a RGC $2 bicssc
072 7 $a SOC015000 $2 bisacsh
072 7 $a RGC $2 thema
082 0 4 $a 331.127951 $2 23
090 $a HD5717.5.C6 $b Z63 2024
100 1 $a Zhou, Xingang. $3 1480544
245 1 0 $a Jobs-housing balance and self-containment using cellphone big data $h [electronic resource] : $b case studies in Shenzhen and Shanghai / $c by Xingang Zhou.
260 $a Singapore : $c 2024. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xix, 91 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Urban sustainability, $x 2731-6491
505 0 $a Introduction -- Literature Review -- Research Design..
520 $a This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. High SCE encourages the use of non-motorized transport and reduces transport-related energy consumption. In this book, mobile phone location data is employed to assess journey-to-work trips and explore spatial variations in SCE at multiple geographic scales. It finds that SCE is significantly higher in the suburbs than that in the central urban areas and tends to decrease as the spatial analysis unit shifts from the macro to the micro scale. The relationship between Jobs-housing balance is found to be more important in self-containment of employment for secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers tend to reside farther away from their workplaces to save housing cost. A mixed-use index (MUI) in terms of employment is examined. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE. This book will enhance readers' understanding of the spatial variations in SCE at multiple scales. In addition, its investigation of the effect of mixed use on SCE will shed new light on the relationship between land use and journey-to-work patterns.
650 2 4 $a Quality of Life Research. $3 671860
650 2 4 $a Big Data. $3 1017136
650 1 4 $a Human Geography. $3 670481
650 0 $a Housing $z China $z Shanghai $v Case studies. $3 1480548
650 0 $a Housing $z China $z Shenzhen Shi $v Case studies. $3 1480547
650 0 $a Commuting $z China $z Shanghai $v Case studies. $3 1480546
650 0 $a Commuting $z China $z Shenzhen Shi $v Case studies. $3 1480545
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Urban sustainability. $3 1418085
856 4 0 $u https://doi.org/10.1007/978-981-97-8185-0
950 $a Social Sciences (SpringerNature-41176)