2022
DOI: 10.1016/j.cities.2022.103597
|View full text |Cite
|
Sign up to set email alerts
|

Spatiotemporal patterns and mechanisms of street vending from the social sensing perspective: A comparison between law-enforcement reported and residents complain events

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 8 publications
(5 citation statements)
references
References 27 publications
0
5
0
Order By: Relevance
“…In the literature on informal street vending, many have focused on how the state seeks to formalize the ‘informal’ through various governance approaches, as well as the resulting tensions and disputes over urban public spaces between vendors and the state (Dai et al, 2019; Igudia et al, 2022; Ojeda and Pino, 2019; Xue and Huang, 2015). Studies of how vendors organize their daily activities and use the street space have been few, probably due to the lack of fine-scaled spatial-temporal data (Han et al, 2023; Li et al, 2022). Wang et al (2024, in this issue) contribute to this literature with a spatial-temporal analysis of informal vending behaviour in Fangshan District, Beijing, China.…”
Section: Migrant Empowerment and Urban Informalitymentioning
confidence: 99%
“…In the literature on informal street vending, many have focused on how the state seeks to formalize the ‘informal’ through various governance approaches, as well as the resulting tensions and disputes over urban public spaces between vendors and the state (Dai et al, 2019; Igudia et al, 2022; Ojeda and Pino, 2019; Xue and Huang, 2015). Studies of how vendors organize their daily activities and use the street space have been few, probably due to the lack of fine-scaled spatial-temporal data (Han et al, 2023; Li et al, 2022). Wang et al (2024, in this issue) contribute to this literature with a spatial-temporal analysis of informal vending behaviour in Fangshan District, Beijing, China.…”
Section: Migrant Empowerment and Urban Informalitymentioning
confidence: 99%
“…A study examining street vending violations echoes this belief in social sensing's ability to perfect and popularize governance. Li et al (2022) compare "bottom-up" social sensing data (phone calls to a citizen complaint hotline) with "top-down" data collected by a "grid-based smart urban governance system" (surveillance videos and reports filed by law enforcement and citizens). The authors recognize the limits to both forms of data: the "top-down" data does not actually offer "a "God's-View observation" (p. 9), while the social sensing data exhibits perception bias.…”
Section: Satellite State: Earth Observation For a Modern Governmentmentioning
confidence: 99%
“…Still, they claim that once detected, perception bias can be harnessed to “nudge” and improve urban governance (p. 1). Li et al (2022: 1) determine, “This research has contributed to promoting the people-oriented transformation of urban governance.”…”
Section: Seeing Like a State: People As Sensorsmentioning
confidence: 99%
“…Street vending is regarded as an old and significant occupation in cities all over the world [10]. e research on street vendors usually includes multiple disciplinary perspectives, such as sociology, politics, geography, food science, economics, public health, urban planning, and so on [11]. In the existing research on vending, the primarily discuss is the conflicts between street vendors and the government [12,13].…”
Section: Literature Reviewmentioning
confidence: 99%
“…One mainstream explanation is that the local government tends to view street vendors as inefficient, disorderly, and unsanitary, which are opposed to the desired national image [26]. Li et al [11] examined and compared the spatiotemporal patterns and occurrence mechanisms of street vending events from both the urban managers' "topdown" and the urban residents' "bottom-up" points of view.…”
Section: Literature Reviewmentioning
confidence: 99%